Enverus Intelligence® Research Press Release - Recap: How the Trump Administration is reshaping energy markets

Data Center Sites Powered by Gas Isn’t the Same As Ready to Build

Behind-the-meter-power can solve the timing problem. It doesn’t make the site buildable, permittable or connectable.

A data center site can have plenty of power lined up on paper and still fall apart before construction begins.
The problem may have nothing to do with megawatts. A pipeline cannot reach the parcel. Water access becomes a point of local opposition. A regulator changes how the power arrangement can be structured. Power may get a site into the conversation. It does not make the site executable or ready for capital.

Behind-the-meter generation, or bring your own generation (BYOG), has moved from workaround to default in the most constrained markets. Enverus Intelligence® Research forecasts BYOG will serve 22.5 GW of new U.S. data center load between 2026 and 2030, roughly 36% of all data center capacity added over that period, concentrated in PJM and ERCOT. Gas accounts for 29.6 GW of the generation needed to serve it; committed solar and wind together account for 2.0 GW.

Figure 1A: BTM Industrial Capacity Growth, 2026-30, by Load Zone and Industry
Figure 1B: BTM Industrial Capacity Growth, 2026-30, by Load Zone and Industry

We estimate that BTM generation will serve 25.5 GW of demand from new facilities between 2026 and 2030, with data centers accounting for 22.5 GW, or 88% of the total. This implies that roughly 36% of U.S. data center capacity additions during the period will be served by BTM generation. 

Source: Enverus Intelligence® Research Behind-the-Meter Generation Forecast | Skipping the Queue

Three Ways a Powered Site Can Still Run Into Trouble

Each project appeared to have a viable power plan. Each still encountered a constraint that changed its path.

  1. The regulatory structure changed: One proposed arrangement planned to supply a data center campus directly from a nuclear plant. When the original structure did not hold up under regulatory review, the project had to pursue a different grid-connected arrangement.
  2. The pipeline route missed the mark: Another project identified natural gas supply, but the proposed pipeline route crossed land the developer did not control. Moving the route by less than a mile added significant time and cost.
  3. Community concerns changed the plan: A third project faced local opposition tied in part to water availability and cooling. The project eventually broke ground with a revised cooling plan, but only after losing its original anchor tenant.

The pattern is not limited to individual sites. In its 2Q26 data center capacity work, Enverus Intelligence® Research removed the Homer City campus in Pennsylvania and Fermi’s Matador project in Texas from its high-confidence project list, citing canceled contracts, missing offtakers or unidentified data center partners. Homer City is one of the largest planned gas-fired facilities in the country. Announced generation is not the same as a bankable project.

The common thread was not a lack of planned power. It was a gap between a powered site and an executable one. BYOG can shorten the path to power, but it also makes the rest of the site-validation work more important.

BYOG changes the risk map

Developers are not choosing this path because it is simpler. Interconnection study cycles in the most active markets now run in years rather than months, and load is materializing faster than transmission and new generation can be built to serve it. BYOG is a response to a timing problem, and it works on timing. What it does not do is settle everything downstream of that decision. More of the diligence shifts to the site, the infrastructure required to serve it and the fuel supply needed to keep it running. In a traditional grid-connected project, much of the early power diligence centers on queue position, study timelines, network upgrades and deliverability. BYOG keeps those questions on the table and adds several more:

  • Can the parcel support the campus and generation footprint?
  • Can pipelines and supporting infrastructure reach the site?
  • Can the project clear permitting and local requirements?
  • Is the grid and fuel supply reliable enough to support the operating plan?

The grid also remains part of the plan for many BYOG projects. Its role may be smaller or delayed, but it can still shape the power ramp, interconnection strategy and long-term economics.  Both sets of questions stay on the table.

Sites fail predictably, in a specific order

Many of the most expensive site setbacks can be traced to questions that could have been asked earlier. The challenge is knowing which questions to ask first. Start with the faster, lower-cost screens.
In days: parcel buildability, zoning and right-of-way constraints can eliminate weak candidates before a team invests heavily in engineering or power studies.

In weeks: pipeline routing, permitting and local requirements come next.

In months to years: grid deliverability, competing demand and long-term fuel supply. These issues can take far longer to resolve, which makes it even more important to clear the earlier hurdles first. The goal is not to eliminate every uncertainty. It is to expose the biggest disqualifiers before they become the most expensive problems.

What an investment-ready BYOG site must prove

Before capital is committed, a BYOG site should be able to pass five tests:

  • Buildable: Can the campus and generation equipment fit on the site?
  • Permittable: Is there a credible path through air, water, noise, zoning and local approvals?
  • Connectable: Can the grid support the required load, ramp or backup strategy?
  • Fuelable: Can the project secure enough gas, both physically and commercially?
  • Defensible: Does the investment case account for competing projects and changing infrastructure conditions?

 
A site that passes all five is a site a capital committee can actually approve.

The next question: How much grid capacity is really available?

A site may clear its early land, permitting and community hurdles, but one of the most consequential questions is still unresolved: How much grid capacity can it actually count on?

A nearby substation is not proof of usable capacity. Competing loads, system conditions and network upgrades can change how much power is available and when it can be delivered. For a BYOG site, that answer helps determine how much generation must be built on-site, how quickly the campus can ramp and whether on-site generation serves as a temporary bridge or a long-term part of the power strategy.

In the next post, we’ll look at how developers can test grid capacity under different operating conditions and turn an initial headroom estimate into a more defensible range. If you would rather not wait: the on-demand session walks the grid-capacity screen and the gas-supply screen at the same candidate site.

Next in the series: How Much Grid Capacity Can Your Data Center Site Actually Count On?

Watch From Decision to Execution: How to Validate BYOG Sites Before You Commit to see how developers can test land, permitting, grid and fuel risks before committing capital.

About Enverus Intelligence® | Research, Inc. (EIR)

Enverus Intelligence® | Research, Inc. (EIR) is a subsidiary of Enverus that publishes energy-sector research focused on the oil, natural gas, power and renewable industries. EIR publishes reports including asset and company valuations, resource assessments, technical evaluations, and macroeconomic forecasts and helps make intelligent connections for energy industry participants, service companies, and capital providers worldwide. See additional disclosures here.

800 VDC rewrites AI data center power economics

Watt’s Next for IREN? | Batch Zero Milestone Points to Upside

IREN has reached a major milestone for two projects in its global data center buildout. The Sydney, Australia-based digital infrastructure company’s development portfolio exceeds 5 GW and includes a lofty GPU deployment target. Its 2-GW Sweetwater Hub, comprising the 1.4 GW Sweetwater 1 and 0.6 GW Sweetwater 2 projects, has been conditionally included as Base Load in ERCOT’s Batch Zero process. Clearing this real-world checkpoint means the grid operator now treats its power demand as qualified, planned-for capacity rather than a request still competing for a study slot.

Enverus Intelligence® Research (EIR) previously identified Sweetwater 1 and 2 as high-confidence projects in the broader ERCOT large-load buildout. This next step supports EIR’s bullish view of IREN and provides further evidence of the company converting its development pipeline into tangible progress, even as the Base Load designation remains conditional pending further verification.

This blog offers just a glimpse of the powerful analysis Power and Energy Transition Research delivers on the trending themes. Don’t miss the full picture.

Nvidia’s first-ever GPU, the GeForce 256, launched in 1999, drawing just 13 watts. Its modern successor, the GB300 Blackwell Ultra (the same chip anchoring IREN‘s Microsoft and Nvidia contracts) draws up to 1,400 watts per chip, more than 100 times the power of that original GPU.

Research Highlights:

  • Power Delivery Risk – Time From Approval to In-Service – We benchmark transmission-upgrade delays using 5,901 completed records across ERCOT, MISO, PJM and SPP, paired with constraints at 47,488 interconnection points. ERCOT’s median authorization-to-energization period is longest at 32.7 months versus 23.5 in MISO, with every voltage class slower. Load size drives upgrade dependency, while operator choice matters as much as market choice, with median build times ranging from 12 to 43 months.

Top Three Takeaways:

1: What does IREN’s Batch Zero milestone mean for its ERCOT data center buildout?

IREN’s 2-GW Sweetwater Hub, made up of the 1.4 GW Sweetwater 1 and 0.6 GW Sweetwater 2 projects, has been conditionally included as Base Load in ERCOT’s Batch Zero process. That means the grid operator now treats IREN’s power demand as qualified, planned-for capacity rather than a request still competing for a study slot, though the designation remains conditional pending further verification.

2: How big is IREN’s overall data center development pipeline?

IREN’s development portfolio exceeds 5 GW globally and includes a lofty GPU deployment target. The Sweetwater Hub is just one part of that broader buildout, anchored in part by contracts tied to Nvidia’s GB300 Blackwell Ultra chips, which draw up to 1,400 watts each, more than 100 times the power of Nvidia’s original 1999 GeForce 256 GPU.

3: Why does this milestone matter to EIR’s view on IREN?

Enverus Intelligence® Research (EIR) had already flagged Sweetwater 1 and 2 as high-confidence projects within the broader ERCOT large-load buildout. Clearing Batch Zero is further evidence of IREN converting its development pipeline into tangible progress, reinforcing EIR’s bullish view of the company even though Base Load status is still conditional.

About Enverus Intelligence® | Research, Inc. (EIR)

Enverus Intelligence® | Research, Inc. (EIR) is a subsidiary of Enverus that publishes energy-sector research focused on the oil, natural gas, power and renewable industries. EIR publishes reports including asset and company valuations, resource assessments, technical evaluations, and macroeconomic forecasts and helps make intelligent connections for energy industry participants, service companies, and capital providers worldwide. See additional disclosures here.

Enverus Intelligence® Research Press Release - Haynesville operators calculate remaining growth

The Hyperscaler PPA Is Coming: Can You Defend the Deal?

The next hyperscaler power agreement will be won by parties that can show, before a term sheet is signed, why the deal works for the plant, the grid, and the customers who may ultimately scrutinize it. Finding an available megawatt is only the beginning.

The Comanche Peak transaction illustrates the first half of that argument. Its owner signed a 20-year, 1,200 MW power purchase agreement with AWS in September 2025, then followed it with more than 2,600 MW across three other nuclear plants for Meta. Both deals closed in months. The next question is whether a similar agreement also works for the grid and the customers who will scrutinize it. That answer will shape how quickly the next deal can move.

Hyperscalers want firm, reliable power for rapidly expanding data center load. Plant owners want long-term revenue that can support continued operations, relicensing, maintenance capital, or uprates. Those objectives can align, but the path from a promising asset to a durable agreement depends on more than resource performance or buyer demand.

Merchant generators can often negotiate at industry speed, particularly in markets where wholesale transactions do not require a retail rate case. Other deals still move through existing federal market-based rate processes, so the speed advantage is real but not absolute. Vertically integrated utilities, municipal utilities, and cooperatives face additional questions, such as: Does the load change local reliability needs? How will replacement power  or additional reserve capacity be sourced? Who pays for new infrastructure? And can the cost allocation withstand review by a commission, board, city council, or ratepayer advocate?

For utilities, an indefensible agreement can create political backlash or fail regulatory review. For hyperscalers and developers, the same weakness can turn a promising site into a years-long delay. A defensible agreement gives both sides a clearer path to closing and helps protect the schedule after signing.

Three steps to a deal that closes and holds

1. Score the asset and grid exposure

Start with a screen that reflects how the deal will be evaluated across two dimensions. Asset exposure comes first and includes license runway, operating scale, multiunit configuration, current PPA commitments, uprate potential, buildable land, nearby data center development, hyperscaler presence, and zonal load growth. Ownership matters too, because the same plant can present a very different path to contract depending on who must defend the decision. Deliverability exposure comes next, and it is where most utility planners spend their time. That means assessing available headroom on the bulk and nodal systems, the upgrades a new interconnection would require, who funds them, and how the load curve behaves against existing commitments. A plant can score well on the first dimension and still fail on the second.

Enverus Intelligence® Research (EIR) screened operating U.S. nuclear plants for long-dated hyperscaler offtake using these kinds of criteria. Dresden, Comanche Peak, and South Texas Project emerged as Tier 1 candidates, while a broader group of plants offered more mixed or site-specific opportunities. Comanche Peak’s ranking already reflects its AWS deal. Half its capacity is contracted, almost exactly matching what that agreement accounts for. The remaining capacity represents the potential opportunity for a future hyperscaler agreement. The screen separates interesting from actionable. A plant with strong demand nearby may still have limited uncontracted capacity, constrained land, or an ownership structure that adds decision-makers and public process.

For a utility, scoring exposure early clarifies which assets are worth preparing before a buyer calls. For a hyperscaler or developer, it creates a realistic shortlist and surfaces execution risk before deal teams spend months on a non-starter.

Figure 10 (top rows). Nuclear PPA Screening Scorecard. Source: Enverus Intelligence® Research, “Nuclear PPA Screening | Identifying Prime Candidates for Hyperscaler Offtake.”

The ownership chart matters because it shows why an attractive asset can still have a difficult path to contract. The more parties responsible for the decision, the more assumptions must be reconciled before a deal can move. No utility decision of this scale is made by a single stakeholder or team, and the more owners a plant has, the more boards, commissions, and city councils may need to sign off before an agreement can close.

Two plants in this screen show what that looks like. South Texas Project has three owners, and one of the municipal co-owners is currently asking its board to fund a bigger stake in the plant while studying new reactor technology, taking on more of this exposure, not less. Dominion’s North Anna and Surry carry the same exposure alone, with no partner to share the political weight of a PPA decision, exactly the kind of exhibit an intervenor reaches for in front of a state commission.

Figure 6. Ownership Concentration by Plant. Source: Enverus Intelligence® Research, “Nuclear PPA Screening | Identifying Prime Candidates for Hyperscaler Offtake.”

2. Bridge internal and external silos

A PPA can move quickly only when the people who will approve, model, regulate, and operate it are working from the same assumptions. No utility decision of this scale is unilateral.  Bring corporate strategy, regulatory affairs, resource planning, transmission, finance, and external development teams into the conversation before commercial terms harden. The teams should align on:

  • The load ramp and delivery point
  • Capacity treatment and reliability implications
  • Replacement-power assumptions
  • The questions a public reviewer is likely to ask

Misalignment shows up fast once a deal is in motion:

  • A term sheet that looks complete to a developer may be an opening question to a utility board.
  • A load forecast that supports a hyperscaler’s capacity target may not explain who bears the cost if the project ramps late or never reaches full utilization.
  • A reliability study that satisfies engineering may still leave open who funds the upgrade it recommends.

Resolving those gaps early gives both sides a faster path to an agreement that can survive diligence.

A partner can move quickly when its reviewers are aligned before the clock starts. That preparation gives the hyperscaler a clearer path through diligence and gives the utility fewer reasons to reopen the deal.

3. Defend the rate and cost structure

The commercial question is not simply whether a hyperscaler can pay for power. It is whether the agreement clearly assigns the costs and risks created by the new load. A defensible structure should address incremental generation and transmission investment, customer protections, credit and collateral, load-ramp commitments, minimum contract terms, outage and replacement-power treatment, and the consequences if expected load does not materialize.

That discipline is increasingly visible in large-load tariffs. Utilities are using ramp requirements, collateral, and long-term commitments not only to recover costs, but also to distinguish funded projects from speculative queue positions. The same logic can strengthen a nuclear PPA. Clear obligations make the project more credible to regulators and more dependable to the buyer.

The scrutiny around large-load agreements is also increasing. The White House’s Ratepayer Protection Pledge began in March 2026 with seven hyperscalers committing to cover their own power costs. By July, it had grown to 187 organizations across four stakeholder groups, including utilities and cooperatives. The pledge is not a contract or guarantee, but it signals a growing expectation that hyperscalers should account for the power costs and grid impacts associated with their growth.

A cost allocation that can be explained plainly to a commission, board, city council, or ratepayer advocate is a competitive advantage. It reduces unresolved questions that can reopen the transaction and gives the hyperscaler a better chance of receiving power on schedule.

The deal test: what makes an asset defensible

A screening report can identify the plants most attractive for hyperscaler offtake. It cannot, by itself, determine whether a specific agreement is right for the owner or its customers. That second question depends on ownership, existing obligations, market structure, local reliability, and the proposed allocation of costs and benefits.

Can both sides explain the agreement using the same load model, reliability assumptions, and answer to “who pays if the plan changes?” That answer determines whether the deal is ready, regardless of how compelling the asset looks on paper.

Why Enverus

Enverus Intelligence® Research provides the shared data foundation utilities, hyperscalers, and developers need to evaluate these decisions together. Utilities can use the screening framework to understand fleet exposure before an offer arrives. Developers and hyperscalers can use it to identify assets with meaningful capacity, site potential, demand, and a realistic path to contract.

The broader planning challenge is covered in Planning You Can Defend, an Enverus e-book on how utilities can defend, optimize, and grow the grid as load forecasts, interconnection queues, market behavior, and rate pressure become harder to reconcile. Download the e-book to build a planning process that stands up when the next major load arrives.

About Enverus Intelligence® | Research, Inc. (EIR)

Enverus Intelligence® | Research, Inc. (EIR) is a subsidiary of Enverus that publishes energy-sector research focused on the oil, natural gas, power and renewable industries. EIR publishes reports including asset and company valuations, resource assessments, technical evaluations, and macroeconomic forecasts and helps make intelligent connections for energy industry participants, service companies, and capital providers worldwide. See additional disclosures here.

Enverus Intelligence® Research Press Release - OPEC+ cuts and Trump tariffs force price downgrade

How Materials Complexity Quietly Erodes Margin in Energy Supply Chains

This is the tenth installment in our series of blog articles dealing with source-to-pay and upstream oil and gas. Read the previous blog here.

Materials complexity erodes margin in energy supply chains when inventory spread across wells, yards, and warehouses can’t be seen or tracked accurately, which leads to duplicate purchasing, stranded and obsolete stock, and material movements that never reach the accounting system. Each loss is small on its own, so the erosion goes unmeasured, but together these gaps tie up working capital and quietly reduce margin. The fix is a single, accurate view of what inventory exists, where it is, and what it’s worth.

Materials rarely get the attention that sourcing or invoicing does. A bid is a visible event with a clear decision. An invoice is money on the line. Materials, by contrast, are just the pipe, valves, fittings, and equipment sitting in a yard or on a pad, and it’s easy to treat them as a background detail rather than a place where money is actively being made or lost. That assumption is where the trouble starts.

The reality is that materials tie up a large amount of capital and touch nearly every part of field operations, and when they’re managed loosely, the cost doesn’t show up as a single dramatic loss. It leaks out slowly through duplicate purchases, stranded inventory, write-offs, and costs that get booked to the wrong place. Because no one line item looks alarming, the erosion goes unnoticed for a long time. It’s one of the quieter ways margin disappears in an upstream supply chain.

Materials sit in the background of most operations, which is exactly why the money they tie up and lose so often goes unmeasured.
Materials sit in the background of most operations, which is exactly why the money they tie up and lose so often goes unmeasured.

Key Takeaways

How does poor materials management erode margin?

  • Through costs that stay individually small and collectively large: duplicate orders because no one can see existing stock, inventory that expires or gets written off, and material movements that are never captured financially, so the books stop matching reality.

Why is materials management so hard in upstream oil and gas?

  • Because inventory is spread across wells, yards, and warehouses, moves constantly between them, and often gets tracked in spreadsheets. Without shared visibility, teams reorder what they already own and lose track of what they have.

What does good materials control look like?

  • A single, current view of what inventory exists, where it is, and what it’s worth, with every transfer and count captured and every completed transfer flowing into the accounting system, so operational reality and financial records stay aligned.

Where the Margin Actually Goes

The losses in materials management are easy to overlook because each one is individually reasonable. Take duplicate purchasing. A crew needs a part, can’t easily confirm whether it’s already sitting in another yard, and orders a new one to avoid delaying the job. That’s a sensible call in the moment. Repeated across dozens of locations and hundreds of items, it means an operator is buying things it already owns while capital sits idle on a shelf somewhere else.

Stranded and obsolete inventory works the same way. Material gets bought for a project, the project changes, and the surplus never gets redeployed because no one has a clear view of it. Eventually it’s written off, and the carrying cost until that point is real money. Then there’s the quieter financial problem: when material moves between locations or gets consumed on a job and that movement is never captured in the accounting system, the books drift away from physical reality. Costs land in the wrong cost center, valuations go stale, and the numbers finance relies on stop reflecting what’s actually in the field. None of these is a crisis on its own, which is precisely why they persist.

Why Upstream Materials Are Uniquely Hard to Control

Part of what makes this so common is that upstream materials are genuinely difficult to manage. Inventory doesn’t sit in one warehouse. It’s scattered across active well sites, staging yards, and central warehouses, and it moves between them constantly as jobs start and finish. A valve bought for one pad ends up on another. Surplus from a completed well goes back to the yard, or doesn’t.

When that activity is tracked in spreadsheets and email, or in a system that wasn’t built for how the field actually works, visibility breaks down almost immediately. Two locations can’t see each other’s stock. A transfer happens physically but not on paper. A count taken last quarter is already out of date. The people doing the work are capable and diligent, but they’re working without a shared, current picture, and no amount of diligence fully compensates for that. The complexity is real, and it compounds as activity scales.

Turning Materials Into a Point of Control

Getting control of materials doesn’t require treating them as a major project. It requires a single source of truth for inventory that the whole operation can see and trust.

Our materials management solution provides that by tracking inventory across wells, yards, and warehouses in one place, down to the location and sublocation, with each item tied to your item master. Teams can look up stock from the field, run cycle counts on a mobile device, and request and receive transfers between locations, with the value of each movement captured as it happens. Completed transfers then flow into your ERP through export or API, with no manual re-entry, so the physical movement of material and its financial record stay aligned instead of drifting apart. Paired with the ordering and invoice workflows in the broader Source-to-Pay platform, it supports clean three-way matching across the order, the receipt, and the invoice, so what was ordered, what arrived, and what gets paid all reconcile.

The effect is that materials stop being a blind spot. You buy less of what you already own, you redeploy surplus instead of writing it off, and finance gets numbers that match the field. The margin that used to leak quietly out of materials stays where it belongs.

Materials will always be complex in this business. Whether that complexity costs you margin comes down to whether you can actually see it.

Frequently Asked Questions

What is materials management in oil and gas?

  • Materials management in oil and gas is the process of ordering, receiving, tracking, storing, and transferring the physical materials and equipment an operation needs, such as pipe, valves, fittings, and consumables, across well sites, yards, and warehouses. Good materials management keeps an accurate, current record of what inventory exists, where it is, and what it’s worth, so teams don’t over-buy or lose track of what they already own.

How does poor inventory management affect margin?

  • Poor inventory management affects margin through costs that stay small individually but add up: duplicate purchases of items an operator already owns, working capital tied up in stranded or obsolete stock, write-offs when surplus is never redeployed, and misbooked costs when material movements aren’t captured financially. Because none of these shows up as a single large loss, the margin erosion often goes unmeasured for a long time.

Why is inventory tracking harder in upstream oil and gas than in other industries?

  • It’s harder because upstream inventory doesn’t sit in one place. It’s spread across active well sites, staging yards, and central warehouses, and it moves between them constantly as jobs begin and end. When that activity is tracked in spreadsheets or disconnected systems, locations can’t see each other’s stock and physical transfers often go unrecorded, so the inventory record drifts away from reality.

What is three-way matching in materials management?

  • Three-way matching compares the purchase order, the receipt of goods, and the supplier invoice to confirm that what was ordered, what actually arrived, and what’s being billed all agree before payment. In a connected source-to-pay process, materials receipts feed that match automatically, which reduces billing errors and reconciliation work.

The Rig Count Doesn’t Tell You What’s Coming

If next year’s forecast still centers on the same major accounts, it’s worth a second look before you lock it in. The U.S. land rig count in L48 sits at 630, up 80 rigs, or about 14.5%, from a year ago. However, for an oilfield services company planning the next two quarters, that number provides little input into your forecasting.

U.S. RIG COUNT,
+15% YOY

PRIVATE VS. PUBLIC RIGS

SHARE OF NEW RIGS COMING FROM PRIVATE OPERATORS

Who’s buying

Private operators now run 336 U.S. rigs to the public operators’ 294, a 53%-47% split that didn’t exist a year ago, according to Enverus Intelligence Research (EIR)’s Sept. 8 MarketView Weekly, “Smooth Private Operators” (available to EIR subscribers). They captured 77 of the last 80 rigs added to the land fleet since last September, 96% of the growth. Continental Resources, which went private four years ago, added eight rigs in a single quarter, up 57% from a base of 14 according to Enverus Intelligence Research’s Sept. 8 MarketView Weekly, “Smooth Private Operators” (available to EIR subscribers). Exxon’s fleet, the largest in the country, sits marginally smaller than it did a year ago. EOG has cut its rig count 12%. Permian Resources has cut 17%.

Helmerich & Payne, the largest U.S. land driller, sees the same pattern. “The majority of these additions have originated from private and small independent operators, who typically are more price sensitive,” President and CEO Trey Adams said on the company’s Aug. 13 earnings call, noting private operators drove 10 incremental rig additions in the quarter.

Why privates move first, and stop first

In a recent conversation with an oilfield service provider, they raised exactly this problem: it’s straightforward to predict what public operators will do, since they lay it out on quarterly earnings calls, but there’s no equivalent visibility into the private and small operators now driving most of the growth. Some of that growth is coming from operators that were running zero rigs as recently as this spring, not existing players scaling up, and new entrants with no track record to extrapolate from.

Private operators don’t answer to a board or a quarterly earnings call. They can add rigs the week the strip firms up, and cut them the week it rolls over. Public operators move on a slower cycle: budgets get set once a year, reviewed quarterly, and rarely revised mid-stream. Shareholders have demonstrated they don’t want production  growth, they would rather have excess cash returned to them in the form of dividends and buybacks. It’s the reason this growth is faster, and more reversible, than the growth it replaced.

This cascades to every part of oilfield services differently

A rig count shift doesn’t move through oilfield services evenly. Five patterns stand out:

  • Drilling contractors get a utilization lift now, with less pricing predictability than major-operator term contracts provide.
  • Pressure pumping faces a lag, with limited excess DUC inventory forcing crews to build backlog before they can grow into it.
  • Well services shifts toward regional and independent providers, since private operators lean less on the vendor lists majors maintain.
  • Equipment and OCTG providers see smaller, more frequent, more price-sensitive orders, tied to the shorter-cycle wells private operators drill.
  • Labor and crew availability tightens locally in private-heavy basins like the Permian and Eagle Ford.

The question worth asking: are you planning next year around this week’s rig count, or around who’s actually driving it?

Plan for a faster, shorter cycle

Treat private-operator demand as a larger and faster cycle than the one it’s replacing. Helmerich & Payne is already building for that: the driller keeps about 10 rigs ready to go back to work quickly at maintenance capital levels, rather than committing further capacity outright, the same flexible posture this cycle rewards over fixed commitments. In conclusion, commodity price is the leading indicator worth watching, not the rig count itself. Enverus Intelligence Research’s own outlook has Brent holding near $100 through 2027 before fading toward prewar levels late in the decade, and shifts like that tend to show up in private-operator activity before they show up in the headline count.

Enverus connects data on 98% of U.S. producers and 35,000+ suppliers, so you can see exactly where activity is shifting by operator type in near-real time and size your coverage and forecast accordingly. If you wait for the shift to be obvious to everyone, you’ll miss the window it opened.

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About Enverus Intelligence® | Research, Inc. (EIR)

Enverus Intelligence® | Research, Inc. (EIR) is a subsidiary of Enverus that publishes energy-sector research focused on the oil, natural gas, power and renewable industries. EIR publishes reports including asset and company valuations, resource assessments, technical evaluations, and macroeconomic forecasts and helps make intelligent connections for energy industry participants, service companies, and capital providers worldwide. See additional disclosures here.

Enverus Press Release - E&Ps with natural gas + CCS pave way for model data center development

MISO hits the Price CAP $10,000

Power Market Insights

MISO prints $10K cap as evening load, solar collapse, imports weaken — spurring an EEA2. The full rundown below & our Mosaic timeseries highlighting the convergence

MISO’s real-time market printed at the $10,000/MWh cap for multiple intervals during HE19-20 (6-8pm ET) on September 2nd, driven by a textbook late-summer scarcity setup rather than a discrete generation failure. Load came in 4,300-5,700 MW above the day-ahead forecast through the back half of the day as temperatures ran hotter than expected, while solar output collapsed (neon green shaded area) from a midday peak of ~18,350 MW to just 137 MW by HE20 — removing nearly 18 GW of supply exactly as load peaked. The combination, layered on reduced import availability (orange area) and transfer capability, pushed MISO from an EEA1 at 6:48pm to EEA2 by 7:11pm — a 23-minute escalation that signals how little headroom the system had left.

Batteries discharged into the event but were drawn down before the worst of it hit. Real-time at Indy Hub averaged $1,630.70 (HE19) and $4,118.32 (HE20) against DA prints of $347 and $257, respectively. We flagged but cannot confirm a generation dip around Fermi and other units during the event window; until telemetry vs. trip is resolved, we’re treating solar ramp-down, weaker imports and load beat as the primary, confirmed drivers.

Why it matters: No unit trip, no wind miss — just ordinary load forecast error (~5 GW) stacking on the routine evening solar ramp-down with weaker imports. That combination alone was enough to trigger EEA2 and hit the cap, which means the reliability margin has shrunk further than the market has priced in.

Critical risks going forward:

  • Imports can’t be assumed as a reliable hedge during the evening ramp — if neighboring-system tightness or transfer constraints reduce import availability at the same hours MISO’s own margin is thinnest, that’s a correlated risk across the footprint, not a diversified one.
  • Forward curves and RT vol should reprice — if somewhat routine variance can trigger caps, cap-hitting probability across the summer strip is higher than a single-event read would suggest.
Enverus Intelligence® Research Press Release - Enhanced geothermal systems: The future of reliable, green power for AI data centers?

Why Utilities Should Run the Build-vs-Buy Math on Their Next Gas Plant

If your IRP has a greenfield gas plant in it, there’s a good chance nobody has run the one comparison that matters most, what that same capacity would cost to acquire instead of build. Enverus Intelligence® Research (EIR) puts combined-cycle gas turbine (CCGT) construction for the post-2027 cohort near $2.0 million per MW, based on 76 disclosed projects. Recent acquisitions of existing, interconnected plants have cleared near $1.0 million per MW. That’s a $1 million per MW gap, and buyers are paying roughly 50 cents on the dollar for capacity that’s already permitted, built, and connected to the grid. Most utilities filing for new gas capacity haven’t run that comparison against their own project.

CCGT Capital Costs
Disclosed CCGT capital costs by COD. Source: Enverus Intelligence® Research, “Cheaper To Buy | CCGT Replacement-Cost Wedge.”

The gap exists because the things that make a plant expensive to build (construction costs, permitting timelines, interconnection queues) don’t apply to a plant that already cleared them. There’s also a premium on time to power.

That $1 million per MW gap isn’t the only cost of getting the timing wrong. A plant that’s already interconnected can start serving a large load today. One that still needs to be built can’t serve anything until it’s finished, and for the post-2027 cohort, that’s years out. Every year of revenue from that load that doesn’t show up sooner is a year it isn’t offsetting the rate pressure the rest of the filing is asking regulators to accept. Buying costs less per MW, and it can start relieving that pressure sooner, in some cases avoiding the rate case altogether.

Financing a new plant today would take capacity payments near $500/MW-day in PJM or power prices near $70/MWh in ERCOT, both well above where those markets are actually clearing. That’s exactly the kind of gap between a filing’s assumptions and market reality that a rate case is built to expose. For a utility with a 20-year capital plan and a PUC watching every prudency review, “we could have bought this for half the price” is not a sentence you want an intervenor saying for you.

That gap probably won’t hold forever, and the same report says so. EIR flags turbine-price relief as a real risk to the wedge. As manufacturers add large-frame capacity beyond 2027-28, equipment costs could ease, and a slowdown in data center demand would soften the M&A bid before it lowers build costs. The wedge is wide today, but it isn’t guaranteed to stay that wide.

Newbuild cost vs. gas-fired power
Newbuild cost vs. gas-fired power M&A over time. Source: Enverus Intelligence® Research, “Cheaper To Buy | CCGT Replacement-Cost Wedge.”

What It Still Takes to Build New

That doesn’t mean building new is off the table, but it raises the bar for what a defensible filing looks like. A filing built around a single, unstructured merchant assumption is an easy target for an intervenor. One built around real structure, shared capital and risk, a locked-in buyer, secured equipment, holds up far better. National Grid Ventures’ $1.75 billion, 35% stake in Joulent, announced July 1, shows what that structure looks like in practice. The deal is a joint venture with Chevron that spreads capital and risk, anchored by a 20-year power purchase agreement with a Microsoft-operated data center as the creditworthy long-term offtaker. Joulent’s flagship project, a 2.67 GW build in West Texas, also has its GE Vernova turbines already secured for a 2028 first-power date, the kind of detail that holds up a filing as well as the price tag does.

For a vertically-integrated IOU with a greenfield CCGT already sitting in this year’s IRP, the load growth behind that filing is usually real, so the need for new capacity isn’t really in question. What often never got run is the build-versus-buy math, the kind that has to survive an intervenor holding up this $1 million per MW gap in the rate case. A G&T co-op runs the same risk with a different audience, a member board and an RUS or CFC loan officer will ask the same question without needing a docket to do it.

We look at a version of this same tension in our ebook, Planning You Can Defend, which argues for planning against two scenarios at once, supply-tight and supply-loose, rather than betting a twenty-year capital plan on one. A single-scenario IRP is exposed either way. This is that same exposure, showing up as a $1 million per MW gap instead of a load forecast.

Run the Math Before You File

If your IRP has a greenfield gas plant in it, our analyst team can benchmark that project against current acquisition comps in your market and give you a defensible build-versus-buy position before intervenors ask the question for you.

About Enverus Intelligence® | Research, Inc. (EIR)

Enverus Intelligence® | Research, Inc. (EIR) is a subsidiary of Enverus that publishes energy-sector research focused on the oil, natural gas, power and renewable industries. EIR publishes reports including asset and company valuations, resource assessments, technical evaluations, and macroeconomic forecasts and helps make intelligent connections for energy industry participants, service companies, and capital providers worldwide. See additional disclosures here.

Enverus Press Release - Enverus Acquires BidOut, energy’s leading AI-powered procurement platform provider

5 Common Pitfalls of an FTR Trade and How Smarter Grid Analytics Can Help

Financial Transmission Rights (FTR) trading looks clean on paper. You identify a path with a persistent congestion spread, submit your auction bid, and collect when the spread materializes. In practice, the desks that consistently make money on FTRs are running a fundamentally different analysis than the ones that consistently explain away the losses.

Pitfall 1: Modeling the Path, Not the Topology

A historically profitable path selected against a grid that has fundamentally changed will lose money just as reliably as a bad one.

Historical LMP spreads tell you where congestion has been. They don’t tell you whether the transmission topology that caused it is still in place. A new line addition, a generator retirement, or a long-term outage can fundamentally alter how power flows between your source and sink, and a desk relying on historical spreads alone will miss it.

The deeper problem is knowing how to model the impact a specific outage has on congestion and price spreads on a given path. An outage that looks routine on paper can shift flow patterns significantly enough to flip a spread, and without running that scenario forward, there’s no way to see it coming.

Panorama’s Power Flow Studio addresses this by letting traders run forward production-cost simulations on custom cases built from current ISO state-estimator data. Outage scenarios, generation changes, and line-rating adjustments can be stress-tested against the actual grid topology, not a normal-conditions baseline. Before submitting FTR auction bids, a desk can see how planned transmission outages cluster, which constraints are likely to bind under each scenario, and how the spread on a candidate path holds up under different scenarios.

Power flow studio
Power Flow Studio lets traders stress-test a candidate path against current grid topology before submitting a bid.

We cover the full monthly prep workflow behind this kind of analysis, including weather, load growth, bound constraints, outages, queue dynamics, project delays, and regulatory shifts, in The Monthly FTR Playbook. It’s a practical guide to building a repeatable auction prep process, not just a one-time checklist.

Pitfall 2: Assuming Future Flows Will Mirror Historical Patterns

Renewable growth has changed the direction and intensity of power flows across most U.S. markets, and the historical record is a less reliable guide to future congestion than it used to be. A path that showed persistent congestion over the past five years may have been shaped by a generation mix and load pattern that no longer reflects what’s on the grid today.

A market with significant renewable buildout illustrates the problem clearly. As wind or solar capacity grows beyond what the transmission infrastructure was built to carry, constraints that used to bind occasionally start binding far more frequently and under different conditions than historical data would suggest. A path that looked modestly congested a few years ago may now bind routinely during peak generation hours or bind less during periods when curtailment limits actual output. The frequency, timing, and intensity of constraint binding shift as the generation mix changes, and a trading strategy built on historical spread averages is implicitly a bet that none of that has happened on your path.

Panorama’s constraint decomposition tools break down the specific drivers of a binding constraint: which transmission outages, generators, and loads are contributing to the flow pattern and by how much. Shift factors show how a specific node’s injection or withdrawal affects each constraint. A trader running this analysis before auction can see not just whether a path has historically congested, but what causes the congestion and whether those drivers are structurally durable or tied to conditions that are actively shifting.

Pitfall 3: Entering the Auction With Stale Queue Data

The settled revenue from an FTR position is determined by the congestion that materializes in the day-ahead market, and that outcome can be heavily shaped by what new generation comes online during the settlement period. A large wind project completing interconnection on a constrained corridor may exacerbate or relieve a constraint depending on its location and output. A battery storage facility that is cleared for commercial operations could blunt the intensity of a constraint during peak hours.

Most FTR traders have some process for tracking the queue, but the gap between knowing the queue exists and knowing which projects are going to be built is where analysis breaks down. Queue lists are long; the subset that reaches commercial operation is much shorter and distributed unevenly across time.

Panorama’s Projected Capacity Impact (PCI) feature uses an ML-based completion probability score to filter the interconnection queue down to projects likely to be built, drawing on 15 to 20 factors including queue step timing, developer track record, and interconnection study status. It then computes how each likely project will affect flows and constraints by month-online, so you can see not just that new capacity is coming, but which of it will materialize, which constraints it hits, and when the impact lands relative to your auction position.

Panorama Projected Capacity
Panorama’s Projected Capacity Impacts allows users to view impacts of new generation and load in the queue on grid constraints

The Playbook goes deeper on this. The “New, Retiring Generation, Load and Transmission” section walks through how to track queue dynamics as part of your monthly cycle and how to model the impact of a delayed or cancelled project before it shows up in settlement. Download The Monthly FTR Playbook to see the full framework.

Pitfall 4: Treating Historical LMP Spreads as a Congestion Proxy

A spread between two nodes reflects congestion, but it also reflects generation mix, fuel prices, load shape, and everything else that goes into marginal pricing. Two paths can show similar historical spreads for entirely different reasons, and neither of them may hold up when conditions change, which makes raw spread history a genuinely unreliable guide to path selection without the constraint analysis behind it.

The desks that win consistently in FTR auctions are generally decomposing constraints rather than averaging spreads. They know which specific constraints drive congestion on a candidate path, what the shadow price history looks like for those constraints, and what conditions trigger binding. That level of analysis is hard to do manually against five years of DA and RT pricing data.

Panorama’s Path Analysis function computes topology-based shift factors across time, quantifying constraint impacts on historical pricing using the actual grid topology rather than node-pair averages. Combined with Price Decomposition, which breaks an LMP into its energy and congestion components, a trader can isolate exactly what constraint drove a historical spread and assess whether those drivers are structurally present or situationally driven for the upcoming auction time period.

Pitfall 5: Not Looking at Other Positions in the FTR Market

Most FTR analysis focuses inward on your own paths, spread history, and risk. What it often misses is what everyone else is doing. Other market participants are trading the same corridors, responding to the same outages, and making bets on the same constraints, and their positioning carries real signal about how a path is likely to perform.

A desk that can see where other participants are concentrated, which paths they’re winning on, and how their constraint exposures are shifting has a materially different view of the market than one operating only on its own analysis. That visibility can surface opportunities that pure spread analysis wouldn’t flag, including paths where sophisticated participants are building positions ahead of a constraint change, or paths where crowding has compressed the expected return below what the historical data suggests.

Panorama’s Portfolio Study and Portfolio Exposure tools give traders that view. They let you map position-level outcomes across all market participants, see who is winning on which paths, and decompose the constraint drivers behind their returns. Combined with the P&L attribution tools, a trader can examine not just where others are positioned but what’s actually driving their results, which shapes both how you identify new opportunities and how you think about paths where you’re already exposed.

The Common Thread

What connects all five pitfalls is FTR analysis that treats the grid as static. Congestion changes with topology, generation mix, queue attrition, and weather. The desks that get consistently burned are usually running analysis that reflects the grid as it was, while the desks that don’t are modeling forward, decomposing constraints, tracking the queue to completion probability, and stress-testing positions against scenarios before they submit a bid.

If you want a structured way to apply this thinking to every monthly auction cycle, The Monthly FTR Playbook walks through the seven factors smart FTR traders review before every auction and how Power Flow Studio and Power Analyst fit into that workflow: the prep process behind the analysis, not just the tools.

Enverus releases Top 50 Public E&P Operators of 2024

What’s the Bess(t) Path Forward? | Solar and Storage Targets Rising

Another utility is betting big on solar and storage. Duke Energy filed its 2026 Carolinas Resource Plan in August, calling for 18.5 GW of solar and 13 GW of battery energy storage systems, or BESS, over the next 15 years. The plan extends a broader utility trend toward pairing renewable generation with dispatchable BESS capacity to serve evening
peak demand.

The Carolinas are hardly alone. New York and Virginia have established major clean energy ambitions, including Virginia’s target of more than 20 GW of energy storage by 2045, enacted earlier this year. More than half of the Lower 48 states have adopted long-term climate goals, and 13 have set specific storage targets. Solar and BESS projects, in both stand-alone and hybrid configurations, have gained traction across U.S. power markets.

However, merchant economics do not align with development at the scale envisioned by many state and utility plans. In downstate New York, incentives make up more than half of the revenue stack needed to break even over 15 years, presenting a warning sign for developers assessing the feasibility of front-of-the-meter projects. Enverus Intelligence® Research forecasts steady solar and BESS additions through 2050. However, weak merchant economics and heavy reliance on policy support cast doubt on whether the most ambitious mandated goals will be met.

This blog offers just a glimpse of the powerful analysis Power and Energy Transition Research delivers on the trending themes. Don’t miss the full picture.

Research Highlights:

ERCOT, with over 16 GW of installed BESS capacity, set records in August for charging at 11.5 GW and discharging at 13.3 GW. Those levels represent roughly 70% and 81% of installed capacity, respectively, highlighting batteries’ growing role in absorbing surplus generation and supplying power when grid conditions tighten.

Top Three Takeaways:

1: What does Duke Energy’s 2026 Carolinas Resource Plan call for in solar and storage?

Duke Energy filed its 2026 Carolinas Resource Plan in August, calling for 18.5 GW of solar and 13 GW of BESS over the next 15 years. The plan reflects a broader utility trend of pairing renewable generation with dispatchable BESS capacity to serve evening peak demand.

2: How widespread are state storage and climate targets beyond the Carolinas?

New York and Virginia have both set major clean energy ambitions, including Virginia’s target of more than 20 GW of energy storage by 2045. More than half of the Lower 48 states have adopted long-term climate goals, and 13 have set specific storage targets.

3: Can merchant economics support these ambitious solar and BESS targets?

Not easily. Merchant economics do not align with development at the scale many state and utility plans envision. In downstate New York, incentives make up more than half of the revenue stack needed to break even over 15 years, a warning sign for developers evaluating front-of-the-meter projects. Enverus Intelligence Research forecasts steady solar and BESS additions through 2050, but weak merchant economics and heavy reliance on policy support cast doubt on whether the most ambitious mandated goals will be met.

About Enverus Intelligence® | Research, Inc. (EIR)

Enverus Intelligence® | Research, Inc. (EIR) is a subsidiary of Enverus that publishes energy-sector research focused on the oil, natural gas, power and renewable industries. EIR publishes reports including asset and company valuations, resource assessments, technical evaluations, and macroeconomic forecasts and helps make intelligent connections for energy industry participants, service companies, and capital providers worldwide. See additional disclosures here.

Enverus Press Release - OFS prices expected to bottom out by year’s end

Trump’s Venezuela Deal Puts Canada “On Notice”: What It Means for Oil Sands and Pipeline Economics

President Trump’s announcement of what he called the biggest oil deal in world history, granting the United States majority control over 65 billion barrels of Venezuelan oil reserves, has reopened the conversation about Canada’s leverage in North American energy trade. Trump followed with a warning that the deal puts Canada “on notice.” 

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A Five- to Ten-Year Horizon, But Notice Served Today

None of Friday’s announcements move markets today. Chevron confirmed it is aiming to double its Venezuelan production from 300,000 to 600,000 barrels a day over roughly five years, and the broader Venezuela opening sits on a five- to ten-year horizon before it materially changes flows. But timelines matter less than positioning. We read Trump’s “on notice” comment as a negotiating tactic in the middle of an active trade war: the administration is signaling it has options for crude supply beyond Canada, even as officials like Alberta Premier Danielle Smith insist energy exports are not a bargaining chip.

Where Oil Sands Barrels Actually Compete

Oil sands producers are less exposed to this shift than the headlines suggest, but not immune to it. Most Canadian barrels move through Pad 2 into Midwest refining, a fixed relationship that isn’t changing. The exposure sits with the smaller volume of Canadian crude that reaches the Gulf Coast, where the White House has been explicit that Venezuelan barrels are intended for U.S. refineries. That is where Venezuelan supply and Canadian supply will compete directly. It’s a dynamic we’ve been tracking closely in our work on Alberta’s oil sands producers waiting on $100 crude and Ottawa’s fine print.

The MOU Pipeline’s Math Gets Harder, Not Easier

The proposed MOU pipeline, estimated at roughly $40 billion, was already an expensive way to move barrels to tidewater; the Venezuela deal adds a new layer of demand uncertainty for a project that won’t be in the ground for years. Proponents may see momentum building given growing calls for diversified export routes, but the end-use case is now less clear than it was a year ago. We explored the route economics and the China dimension of that debate in Alberta’s West Coast Pipeline Gambit, and the Venezuela announcement only sharpens the question of who the marginal barrel is ultimately competing against.

Alberta’s Budget Math Looks Overly Conservative

Alberta’s latest budget review assumes WTI averages $73.50 USD/bbl for the fiscal year, with the already-settled portion of the year at $86. The government would only need WTI to settle in the high $50s to low $60s for the remainder. The current WTI curve for that same stretch averages closer to $83, roughly $20 above the province’s assumption. Given that gap, we wonder why Alberta refuses to hedge, as they too recognize that oil prices are volatile, as discussed in Navigating Alberta’s Oil Volatility: Strategies for Economic Stability.

Line 5, Hormuz, and Why Our Price View Hasn’t Moved

Line 5 is unlikely to become a bargaining chip: Canadian crude feeds Sarnia refineries, but the gasoline and diesel produced there flow back into the U.S., so restricting the line cuts both economies at once. Separately, the Strait of Hormuz crisis just crossed its six-month mark with no resolution, and a brief Iran-Oman revenue-sharing arrangement that pressured prices lower has since stalled. We don’t see the Venezuela deal changing our near-term price view; it’s a longer-horizon supply story layered on top of a Hormuz risk premium that remains very much intact, a dynamic we detailed in Brent Near $100 While the Market Sleeps on Supply Risk. With Ottawa also extending the federal excise tax holiday on gasoline and diesel to the start of 2027, we remain bullish on both gasoline and oil into year end.

Key Takeaways

Why did Trump say the Venezuela deal puts Canada “on notice”?

  • The comment is a negotiating tactic amid an active trade war. By expanding U.S. access to Venezuelan barrels, potentially rising from 300,000 to 600,000 barrels a day of Chevron production over five years, Washington is signaling it has crude supply alternatives, which strengthens its hand in broader trade talks with Canada.

What is the significance of the Gulf Coast for Canadian oil sands producers?

  • Most oil sands crude is locked into Midwest refining via Pad 2 and isn’t affected. The Gulf Coast is the smaller slice of Canadian exports, but it is exactly where the White House says Venezuelan barrels will be refined, putting the two supplies into direct competition.

What factors are preventing the Venezuela deal from changing near-term oil prices?

  • The deal operates on a five- to ten-year timeline before it materially adds barrels to the market. In the near term, the six-month-old Strait of Hormuz crisis and a stalled Iran-Oman arrangement remain the dominant price drivers, which is why our short-term outlook hasn’t shifted.

About Enverus Intelligence® | Research, Inc. (EIR)

Enverus Intelligence® | Research, Inc. (EIR) is a subsidiary of Enverus that publishes energy-sector research focused on the oil, natural gas, power and renewable industries. EIR publishes reports including asset and company valuations, resource assessments, technical evaluations, and macroeconomic forecasts and helps make intelligent connections for energy industry participants, service companies, and capital providers worldwide. See additional disclosures here.

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