ai agents for oil and gas operations

a suite that turns the public record of an operator’s wells, filings, and emissions into a working back office

Oil and gas runs a large back office: production accounting, regulatory filing, emissions reporting, contract administration, pipeline integrity. Most of it is slow, manual, and expensive. And a surprising amount of the analysis can start from data that is already public.

Built a suite of agents that do that work, grounded in the public record so a person can audit and control every step.

what the agents do

A dozen agents across upstream and midstream operations. A few of them:

A production-accounting agent pulls an operator’s well list from public records, allocates a battery’s volumes down to individual wells, reads the allocation clause straight out of a joint-operating agreement, and drafts the partner statement, pulling a month-long close toward a week.

A regulatory agent turns the directive library into a structured rulebook, then runs an operator’s whole licence inventory against it to surface overdue filings and the deadlines coming due.

An emissions agent benchmarks an operator against its peers, prices its carbon exposure, and flags where reported venting drifts from what the facility mix predicts, the kind of gap an audit eventually finds.

A contract agent reads a hundred-page processing agreement and surfaces the deadline buried deep inside it, the one a busy team misses, before a lapsed notice locks in a year of margin.

A pipeline-integrity agent takes an inspection run of thousands of flagged features and, using the published assessment methods, narrows it to the few hundred that actually need a dig.

grounded, auditable, controlled

Each agent runs on the same discipline as the rest of these builds. Every number traces to its source. Every output is something a person reviews before it counts. The agent organizes and explains; the operator’s own team makes the call. Starting from the public record keeps the early work cheap and verifiable, and the system deepens as it connects to an operator’s internal data.

why it matters

Every operator carries the same slow back office and the same regulatory and commercial deadlines that quietly cost money when they slip. Software that reads the public record can show an operator something real about its own operations long before anyone wires up an internal system.

The thinking behind it: the data is the moat.