Surface opportunity
Find technically differentiated assets before they become obvious to everyone else.
Acquisition Finder™
Find the truth before you acquire.
Acquisition Finder uses advanced machine learning and artificial intelligence to bring rock, production, completions, land, rights, subsurface and economic evidence together across large opportunity sets—surfacing differentiated acquisition and redevelopment targets that technical and investment teams can evaluate quickly.
1. Better oil and gas acquisition decisions start with better screening.
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Screen at scale
Compare many opportunities faster without sacrificing source truth and context.
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Prioritize targets
Rank opportunities by technical quality, redevelopment upside and commercial fit.
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Build conviction
Put a more defensible acquisition or redevelopment thesis in front of the team.
2. All the right data. One integrated view.
Rock
Well logs, formation tops, petrophysics, reservoir quality and interpreted subsurface evidence.
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Production
Historical oil, gas and water performance, decline behavior, offsets and analog performance.
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Completions
Landing interval, lateral geometry, spacing, treatment design and completion evidence.
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Land & Rights
Lease, tract, unit and rights context that can materially affect what may actually be developed.
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Development
Existing wellbores, remaining inventory, geometry, constraints and development context.
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Economics
Forecasts, uncertainty, capital assumptions and economic ranking appropriate to the target set.
3. From a broad opportunity universe to a smaller target list worth pursuing.
Define the search universe
Set geography, play, target type and acquisition thesis.
Establish source truth
Resolve well identity, normalize data and preserve provenance.
Screen the evidence
Compare geology, production, completions, land and operating context.
Surface targets
Identify assets and areas where multiple signals support closer review.
Prioritize the shortlist
Rank opportunities by technical merit, upside and strategic fit.
Give the deal team evidence they can defend
Deliver a focused shortlist with the technical evidence, assumptions, uncertainty and source trail preserved for diligence and investment review.
4. Two core use cases. One common goal.
Acquisition Screening
Screen marketed, negotiated and off-market opportunities before the full data-room sprint begins.
- Target ranking
- Technical differentiation
- Analog comparisons
- Play and area screening
- Redevelopment potential
- Initial economic framing
Redevelopment Targets
Identify mature or underdeveloped assets where subsurface and operating signals support a differentiated redevelopment thesis.
- Bypassed opportunity
- Underdeveloped acreage
- Remaining inventory
- Subsurface-performance relationships
- Risk framing
- Ranked technical opportunities
The path to Autonomous Subsurface Intelligence™TraditionalMonths PINN AI todayDays We are building towardHours
Months → Days → Hours
More evidence. More consistency. Days today. Hours as we automate.
Teams collect, reconcile and manually screen disconnected technical, land and operating data before they can narrow the field.
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Advanced machine learning and AI evaluate more evidence consistently across more opportunities and deliver a focused, evidence-grounded target set.
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Automation handles more of the analytical workload while technical and investment teams retain responsibility for the judgment.
Ready to find the truth before you acquire?
Give the acquisition team a smaller, higher-value set of targets to investigate—with the evidence behind the shortlist already organized for technical and investment diligence.
Optimizing an asset you already own? Explore Well Intel AI™ →