Petroxin Ltd plans, values and benchmarks oil and gas assets — from reservoir simulation and field development plans to asset valuation and AI transformation. Every recommendation is measured against how the best comparable fields in the world actually performed.
Petroxin Ltd is a London-based engineering and management consultancy delivering solutions to the oil and gas, renewable energy and disruptive technology sectors since 2013.
We work at the interface of the reservoir and the boardroom: the same team that builds the simulation model also builds the economics, sits in the partner meeting and writes the board paper. That is why our clients range from operators and energy services companies to speciality chemicals manufacturers and investors screening upstream opportunities.
Digital efficiency — and, increasingly, AI-assisted engineering workflows — lets us deliver senior-level work at a lean cost base without compromising on quality.
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Client and field names are confidential. Regions and scope are shown as delivered.
From the first seismic line to the last board paper — comprehensive services engineered around the decision you actually have to make. Open a row to see the full scope.
Together with a leading benchmarking company as our partner, we compare a field or a whole portfolio against the world's best analogue fields — recovery factor, well productivity, plateau length, capex and opex per barrel, and cycle time.
The output is not a report about the past: it is a ranked list of interventions with the value and the risk of each, and a phased, executable option already sized to the volumes identified.
We never drop a model and walk away. Seven phases, hard decision gates and a feedback loop that keeps compounding value long after launch.
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Audit AI readiness, map high-value use cases across operations, assess data maturity and align stakeholders on what "success" means — before a line of code is written.
Use cases ranked by impact and feasibility and sequenced into a pragmatic roadmap, with ROI and risk modelled, KPIs defined and governance in place.
Pipelines, cloud or edge infrastructure, data quality and lineage — with security and compliance designed in from day one.
Rapid proofs of concept tested against real baseline metrics. Each pilot ends at a decision gate: scale it, refine it, or kill it. No zombie projects.
Custom models with full MLOps discipline — versioned, tested, reproducible — integrated into existing systems with human-in-the-loop design.
Phased rollouts with training and change management built in, because adoption is the real deliverable. Documented, handed over, monitored from day one.
Enterprise scaling with drift detection and scheduled retraining, ethics and compliance reviews and a continuous-improvement cadence.
Production insight flows straight back into discovery — new data, new use cases, new advantage. That is how an AI project becomes an AI capability.
Consulting engagements delivered by Petroxin and its principals since the company was established in 2013 — embedded with operators, and as independent advisers. Client and field names are confidential; regions and scope are as delivered.
Headline figures are as reported to the respective clients and partners. "Consulting to operator" denotes engagements delivered from inside the operator's subsurface team.
Our R&D is pointed at the same problems our clients bring us: how to evaluate fractured wells honestly, how to keep people safe in the field, and what to do with an oilfield when the oil runs out.
A holistic workflow for fractured wells in heterogeneous reservoirs: the Heterogeneity Impact Factor (HIF) quantifies how reservoir heterogeneity affects fracture performance; the DCH technique forecasts fractured-well production quickly and cheaply; and the Risk of Commercial Failure (RCF) analysis turns both into an economic decision.
Non-intrusive wearable technology to improve safety and efficiency in industrial settings. Miniaturised power sources and improved data-reading capability, prototyped and tested with the University of Glasgow; patentability search in progress.
Converting mature oilfields and offshore platforms into geothermal generators using co-produced water. Worked example: 500,000 barrels of water a day at 80 → 50 °C yields about 115 MW thermal — roughly 4.6 MW electrical through an Organic Rankine Cycle, or 40 GWh a year. Current work targets supercritical ORC, cascade use of heat and reinjection optimisation.
Recommendations are tested against how the world's best comparable fields actually performed, not against a consultant's instinct.
The people who sell the work do the work. You get chief-reservoir-engineer judgement without a pyramid underneath it.
AI-assisted workflows and disciplined tooling let us deliver in days what used to take weeks — and price accordingly.
From IOR that extends field life to geothermal conversion of the same fields afterwards, we plan for the whole life of the asset.
Whether it is a reservoir study, an FDP benchmark, a valuation for a bid round or an AI roadmap — tell us where you want to go and we will engineer the way there.
