A producer acquiring roughly 650 wells faced a problem that no engineering report or purchase and sale agreement could answer. The seller's entire operating history, covering the well master, the allocation structure and every daily volume for the preceding several years, lived in a single undocumented desktop database on an individual laptop. There was no schema documentation and no data dictionary, and the business rules governing the asset were buried in embedded procedural code written by someone who no longer worked at the company. Which producers rolled to which collection point, how a well that changed status mid-month was handled, what the period-end macro did: none of it was written down anywhere. It existed only as system behavior, and behavior has to be observed before it can be replicated.
Read the conventional way, that file took an analyst the better part of a month, and it was almost always scheduled as an IT clean-up task after close, which is precisely backward. Everything expensive about a bad acquisition data conversion is decided in the first three weeks: which records load, how history is treated, and what the buyer will be forced to restate later. The producer needed a partner who could operate in the seller's system and in the accounting consequences at the same time. Opportune was engaged because the work is a production accounting and integration judgment rather than an IT exercise, requiring senior energy domain expertise to make correctly, and it needed to be made before the transition period was negotiated.
Opportune reframed the database review as a diligence deliverable rather than a post-close conversion chore. Our team used Claude and Claude Code to enumerate the tables and relationships, summarize what each embedded procedure did, flag the points where the code contradicted the observed data, and produce a first-pass description of the business rules in language a person could argue with. The model read and summarized; our consultants determined what was true and signed the specification. The effect was not to remove the consultant from the database. It was to strip roughly three of the four weeks of pure transcription out of the opening phase and reinvest that time in judgment.
What we delivered was a functional specification: the data model, a description of the populated content, and the embedded logic stated in plain language. On most integrations that document is written at the end, as documentation. We produced it as the first project deliverable, which converts it into a decision instrument: the artifact the buyer's operations and accounting leaders review and sign before conversion design starts. It also surfaced decisions the acquirer had not been asked to make. The well master alone forced one: of those 650 records, split between active and inactive, which population loads first? That is not a technical question but an operating question with reporting consequences, and Opportune put it to the client in writing before anyone touched a load file.
Opportune advises energy companies on acquisition integration, production accounting, and system conversions. We connect commercially available AI models to purpose-built knowledge and client data under enterprise terms; people own the specification and sign-off.
When you choose Opportune, you gain access to seasoned professionals who not only listen to your needs, but who will work hand in hand with you to achieve established goals. With a sense of urgency and a can-do mindset, we focus on taking the steps necessary to create a higher impact and achieve maximum results for your organization.
