Energy Recovery Optimization
AI platform for optimizing extraction performance and upstream investment decisions through recovery benchmarking, subsurface modeling, prospect valuation, partnership targeting, and simulation-assisted process design.
The Problem
“RecoverOptix improves recovery performance, prospect valuation, and upstream investment decisions with AI-driven benchmarking, modelling, and optimization”
Organizations face these key challenges:
Recovery performance is benchmarked inconsistently across portfolios and geographies
Subsurface, production, economic, and country-risk data are fragmented across systems
Capital allocation decisions take too long and depend heavily on manual expert synthesis
Partnership targeting for underperforming NOCs is subjective and difficult to scale
Impact When Solved
The Shift
Human Does
- •Gather subsurface, production, reserve, economic, and country data from separate sources
- •Benchmark field and portfolio recovery performance using manual studies and spreadsheets
- •Screen prospects, countries, and potential partners through expert review and consultant input
- •Run standalone engineering simulations and compare design options manually
Automation
- •No significant AI support in the legacy workflow
- •Limited automation for basic reporting and spreadsheet calculations
- •Minimal cross-asset pattern detection or predictive ranking
- •No continuous opportunity scoring across portfolios and geographies
Human Does
- •Set investment priorities, commercial assumptions, and decision criteria for screening
- •Review ranked fields, prospects, countries, and partner targets and approve actions
- •Validate high-impact recommendations against strategic, regulatory, and country context
AI Handles
- •Unify technical, production, commercial, and country inputs into a consistent opportunity view
- •Benchmark recovery performance, detect recovery-factor gaps, and rank recoverable upside
- •Predict subsurface, prospect, and portfolio outcomes under multiple commercial and emissions scenarios
- •Score partnership targets and recommend likely matches based on technical and commercial fit
Operating Intelligence
How Energy 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
RecoverOptix must not approve capital allocation, prospect sanction, or portfolio re-prioritization without review by the accountable investment or strategy lead [S3][S4].
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 Energy Recovery Optimization implementations:
Key Players
Companies actively working on Energy Recovery Optimization solutions:
Real-World Use Cases
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.
Material-flow tracking across circular value chains
AI can act like a smart tracker that follows waste and recycled materials through many companies so everyone knows what moved where.
Process optimization for plasma gasification using appropriate gasifying agents
Use smart process tuning to choose the best operating conditions and gasifying agents so plasma gasification turns difficult waste into cleaner useful gas more efficiently.
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.
AI benchmarking of recovery limits by field type and operator class
Use AI to compare different kinds of oil fields and operators to see which ones are already close to their maximum recovery and which still have room to improve.