Benchmark against peers. Validate your assumptions. Trace every insight to source data. All in one platform that your entire company can use.
Engineers and geoscientists are accountable for decisions that must stand up in technical reviews, partner discussions, and capital committees. That means understanding not only what the answer is, but how it was built; that means understanding the data and reasoning behind every decision.
Enverus combines deep industry intelligence with full model control. Analytics are powered by decades of energy data and research, then delivered through an open studio where engineers can adjust assumptions, test sensitivities, and apply their own expertise. Every knob and dial is exposed. Nothing is hidden. Results are transparent by design.
Confident benchmarking requires more than internal comparisons. Leadership relies on Enverus as an independent source of truth to understand how performance stacks up across the market and why differences in performance exist. Engineers use that same insight to improve development strategies and operating efficiency, informed by what is happening beyond their acreage. When performance is measured against data trusted by peers and investors, conclusions carry real credibility.
Enverus monitors the U.S. land rig fleet using a hybrid data collection approach designed to deliver accurate and timely drilling intelligence. Our methodology incorporates:
Only Enverus has physical GPS units on rigs, delivering 99% fleet coverage and tying movement directly to a dataset spanning 5.8 million wells and more than 560,000 active permits
Before a rig appears in Enverus systems, it must meet defined operational criteria to ensure it represents legitimate drilling activity. A rig must:
Unlike standalone activity trackers, Enverus integrates rig and frac crew data directly into benchmarking, forecasting, and inventory analysis, so operational context is part of the model, not a separate spreadsheet.
Understanding who is drilling, completing, and building infrastructure near your acreage helps engineers anticipate parent-child effects, spacing pressure, and design shifts before production data fully reflects them.
Enverus provides basin-wide, continuously updated rig, spud, permit, and frac crew tracking tied directly to well context and development patterns, rather than isolated activity feeds. This level of detail and accuracy empowers how decisions are made.
This allows engineering teams to move from reactive analysis to proactive development planning.
A forecast without context can appear precise while masking the drivers of performance. Enverus lets you define type curves that can incorporate rock quality, landing zone, spacing, area, completion design and operational variables directly to performance. Having the full picture in one platform gives you the upper hand on reliability.
Enverus also includes analyst‑vetted regional type curve frameworks you can use immediately, then refine with your own assumptions. You can run the work in Enverus or export outputs to the forecasting and economics tools your team already uses.
Result: Faster reviews, fewer debates about assumptions, and forecasts that stay explainable as conditions change because the inputs, context, and outputs stay connected.
Enverus AI is built to accelerate analysis without hiding the logic. It works inside the same platform and uses the same vetted energy datasets and analytical context your team already relies on, so outputs remain consistent with the rest of your workflow. Every AI response is tied to traceable sources, so engineers can validate what changed, why it changed, and what data supports it.
AI speeds iteration. Engineers stay in control.
Enverus is designed to strengthen, not replace, dedicated reserves and economics software. Many teams will continue to use those tools for detailed scenario modeling, reserves booking, and regulatory workflows.
Enverus improves how those tools are used by ensuring everyone starts from the same, defensible foundation:
The result: Less rework, faster technical and commercial reviews, and confidence that every analysis begins from the same assumptions across engineering, finance, and leadership.
Point tools can answer narrow questions. Enverus governs decisions at scale.
Engineers get transparency. Leadership gets consistency. The organization gets alignment.
Rock‑aware benchmarking beats tool‑only forecasting.
Yes. Every chart links directly to the underlying well lists, tables, filters, and date ranges. You can inspect the exact inputs driving the result and export them when needed.
Yes. You control the variables that matter, including spacing, completion design parameters, development era, and economics where supported. You can apply changes and rerun without rebuilding workflows.
The PRISM platform, which enables customers to upload proprietary data, is currently compliant with SOC 2 Type II requirements, ensuring the data is secure and never shared with other customers or used to train Enverus models.
Data from different customers is never mixed. All customer data is stored in a separate environment from Enverus data.
Yes. You can import and layer proprietary maps and other internal datasets directly into Enverus, then share the same governed views across teams.
You can evaluate how spacing, completion design, development timing, and operating choices influence performance using real offset and peer activity as context. This supports forward-looking decisions rather than relying only on internal history.
Dedicated reserves and economics tools are often optimized for reserves booking and reporting workflows. Enverus complements them by strengthening the inputs and reducing manual effort upstream. Enverus helps you build like-for-like well sets, lock rock and design context, and export traceable well lists, decline parameters, and benchmarks into downstream systems. That reduces rework because the origin of each number is clear.
No. Best practice is complementary. Use Enverus to screen opportunities, benchmark performance, and lock assumptions, then export well lists, decline parameters, differentials, and models into your preferred reserves system. When appropriate, you can also run pre-generated or customizable forecasts directly in Enverus.
You can generate well-level forecasts and type curves, including probabilistic cases, and export to common industry formats and workflows such as ARIES, PHDwin, ValNav, and Excel.
AI is an assistive layer that accelerates analysis using vetted datasets and the same analytical context you are working in. Experts stay in control by verifying outputs within established engineering and geoscience workflows rather than relying on opaque summaries.
Enverus analytics are built on connected, contextualized upstream data — not isolated datasets or opaque models.
At a high level:
You can inspect, adjust, and export every step.
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