Extraction Recovery Optimization
AI platform for optimizing oil and gas extraction decisions across prospect valuation, completions, hydraulic fracturing, remote well monitoring, partnership targeting, and upstream data readiness.
The Problem
“Fragmented upstream decisions reduce recovery, slow operations, and hide partnership value”
Organizations face these key challenges:
Prospect valuation is slow, inconsistent, and difficult to compare across basins and portfolios
Frac crews lack immediate insight into fracture hits and offset-well communication during treatment
Completion design decisions often miss nonlinear production tradeoffs and interference risks
Remote well monitoring is fragmented across vendors, sensors, and manual review processes
Impact When Solved
The Shift
Human Does
- •Screen prospects, fields, and partnership targets manually across siloed subsurface, production, and economic data
- •Review frac, completion, and remote well signals from fragmented dashboards and expert interpretation during operations
- •Compare completion options, type curves, and post-job studies to choose designs and operating ranges
- •Clean and assemble well, cost, production, and report data before analysis or internal knowledge use
Automation
- •No consistent AI support in the legacy workflow
- •Limited rule-based alerts from existing monitoring tools
- •Occasional static analytics outputs after manual data preparation
Human Does
- •Approve prospect rankings, partnership priorities, and capital allocation decisions
- •Decide frac and completion actions based on AI alerts, field context, and operating constraints
- •Review exceptions, low-confidence recommendations, and anomalous well behavior requiring intervention
AI Handles
- •Score prospects, producing fields, and partnership opportunities using combined geologic, operational, and economic signals
- •Rank completion parameters, estimate tradeoffs, and surface physics-informed design recommendations
- •Monitor frac, pressure, and downhole telemetry in near real time to detect fracture communication and anomalies
- •Standardize upstream data and generate searchable field intelligence for analyst and copilot workflows
Operating Intelligence
How Extraction Recovery Optimization runs once it is live
AI runs the first three steps autonomously.
Humans own every decision.
The system gets smarter each cycle.
Who is in control at each step
Each column marks the operating owner for that step. AI-led actions sit above the divider, human decisions and feedback loops sit below it.
Step 1
Assemble Context
Step 2
Analyze
Step 3
Recommend
Step 4
Human Decision
Step 5
Execute
Step 6
Feedback
AI lead
Autonomous execution
Human lead
Approval, override, feedback
AI handles assembly, analysis, and execution. The human gate sits at the decision point. Every cycle refines future recommendations.
The Loop
6 steps
Assemble Context
Combine the relevant records, signals, and constraints.
Analyze
Evaluate options, risk, and likely outcomes.
Recommend
Present a ranked recommendation with supporting rationale.
Human Decision
A human accepts, edits, or rejects the recommendation.
Authority gates · 1
The system must not approve capital allocation, prospect ranking decisions, or partnership priorities without review by the accountable asset manager or commercial lead [S3][S10].
Why this step is human
The decision carries real-world consequences that require professional judgment and accountability.
Execute
Carry out the approved action in the operating workflow.
Feedback
Outcome data improves future recommendations.
1 operating angles mapped
Operational Depth
Technologies
Technologies commonly used in Extraction Recovery Optimization implementations:
Key Players
Companies actively working on Extraction Recovery Optimization solutions:
Real-World Use Cases
AI-ready upstream data preparation for customer LLM and machine learning workflows
Wood Mackenzie is cleaning and expanding oilfield data so customers can feed it into their own AI tools more easily and get better answers.
AI-guided partnership targeting for NOC recovery improvement
The analysis shows which state-run oil fields have the biggest gap between current performance and what similar fields achieve, helping companies spot where partnerships could unlock more oil.
Prospect valuation for pre-drill commercial screening
Before drilling, the tool estimates how much a prospect could be worth so companies can decide which opportunities deserve money and attention.
Interpretable completion parameter ranking and tradeoff analysis
The workflow ranks which completion knobs matter most and shows how changing one knob affects production, so engineers can see where extra spending helps and where it stops paying off.
Real-time SWPM decision support during hydraulic fracturing
During a frac job, software reads pressure changes in real time from nearby sealed wells so crews can make better on-the-fly pumping and stage decisions.