Your engineers know the asset. We connect what they know to the systems that need it.
We are not reservoir engineers or process engineers, and we will not pretend to be. We are the technology team that makes their expertise usable — joining historian, production, commercial and document data into systems your specialists can actually act on. Upstream, midstream and downstream.
The problem in this sector
The expertise exists. Getting it into the systems is the job.
Production volumes sit in one system, well tests in another, allocations in a spreadsheet, and the land and contract terms that decide what any of it is worth sit in scanned PDFs. Meanwhile the historian holds years of high-frequency signal nobody has time to look at.
Almost every energy analytics project we are called into is really an integration and governance project. Your people already know what the numbers should say. Our job is to build the pipeline, the model and the controls so the answer arrives on the day it is useful — and to say plainly when the data will not support the question.
Upstream
From the wellhead to the daily report
Where high-frequency operational data meets the commercial questions that depend on it.
Production surveillance
Historian, SCADA, well-test and allocation data joined into one governed model, with exception detection so engineers review anomalies rather than assembling spreadsheets. Deferment identified the same day, not the following week.
Artificial lift & equipment analytics
Failure prediction on ESPs, rod pumps and compression built from historian signal and maintenance history, delivered into the workflow the operations team already uses.
Land & lease intelligence
Extraction of terms, obligations, depths, royalty and continuous-operations clauses from scanned lease and contract files, with confidence scoring and a review queue. The paperwork that decides what a barrel is actually worth.
Well master data
Reconciling well identifiers, hierarchies and completions across G&G, production, accounting and regulatory systems — the unglamorous work that makes every downstream number agree.
Midstream & downstream
Throughput, integrity and the commercial layer
Pipeline & facility data
Flow, pressure and quality telemetry integrated with nominations and scheduling, plus measurement reconciliation that surfaces imbalances while they are still explainable.
Asset integrity
Inspection records, corrosion data and maintenance history brought together so integrity decisions rest on the full history rather than the last report anyone could find.
Plant & refinery analytics
Yield, energy intensity and reliability modelling on process historian data, delivered into existing operations dashboards rather than a new portal.
Commercial & contracts
Marketing, transport and processing agreements turned into structured terms that settlement and forecasting systems can actually use.
The hard parts
Three things that decide whether an energy programme works
The OT/IT boundary
Control systems were not built for the connectivity analytics wants. We design that boundary deliberately — segmentation, one-way data paths where appropriate, and an architecture your process-safety people will sign. Security and data engineering are the same team here, which is the point.
Regulatory & emissions reporting
State and federal production reporting, and the emissions and methane accounting now attached to it, built as a repeatable pipeline with lineage — so the number in the filing can be traced to the meter that produced it.
Joint-venture accounting
JIB, working-interest and revenue-distribution complexity is where generic ERP advice falls apart in this sector. We scope it as its own workstream rather than discovering it at user acceptance testing.
Where to start
An energy data assessment, in two weeks
We inventory your operational and commercial data sources, map what is actually joinable today, and score candidate use cases on value and feasibility. You get a findings document, a prioritised roadmap with cost ranges, and a recommended first build.
Fixed scope, fixed fee, and yours to keep whether or not you continue with us.
- Historian and SCADA reality check — what resolution and history you actually have, and what it will support.
- Master data and identifier mapping across production, accounting and regulatory systems.
- Document estate review — leases, contracts, inspection and completion records.
- OT/IT architecture read with the security practice at the table from day one.
- Prioritised use cases with cost ranges and an honest feasibility score.
Next step
Tell us what your field data is not telling you.
Thirty minutes with an engineer who has worked with historian data, not a salesperson with an energy slide.