Transform the upstream value chain, end to end.
Upstream Transformation is end-to-end digital transformation across the upstream value chain, proven in production with a major unconventional operator in one of the most demanding shale plays in the world. We modernize how an operator captures, governs, and uses its subsurface and well data, so the daily work and the engineering run on one open model the operator owns.
Most operators run upstream on a chain of disconnected tools and closed databases.
Each domain has its own desktop application, its own export format, and its own copy of the truth. The data round-trips between products and the operator never quite owns it. We have done this transformation in production for a major unconventional operator, across the full value chain, and we bring that proven path. We modernize how an operator captures, governs, and uses its subsurface and well data, and we hand the operator a single open model it controls.
Multi-domain, across the value chain.
We bring subsurface interpretation, formation models, and the mud-log record into a governed, queryable data model instead of a folder of files. The geoscience that informs the well plan stays connected to the well it built.
Daily reporting, time and cost, drilling parameters, BHA, mud, cement, casing, and the engineering math all live in one web-native system of record. The report and the calculations share a single source of truth.
Anti-collision, offset awareness, and frac-hit and parent-child relationships become first-class data, not a side calculation. The operator sees how wells affect each other across the pad and the field.
Production volumes, well tests, and operating performance flow into the same governed model as the construction history. The full life of the well is one continuous record from spud through flowback and beyond.
We replace a chain of disconnected desktop tools and closed databases with an open, web-native, governed data model. The daily report and the engineering live in one place, and the data stays the operator's.
One open data model, not a chain of closed tools.
Modernizing the reporting package means replacing a chain of disconnected desktop tools and closed databases with an open, web-native, governed data model. The daily report and the engineering live in one place. The data stays the operator's, in a documented schema, exportable on demand, and aligned to OSDU. The user stops juggling licensed products and the operator stops renting access to its own well history.
A documented schema with OSDU alignment, exportable to the operator's warehouse and BI without a vendor in the loop.
The daily report and the engineering math run in the same web application, reading from the same reconciled source.
Append-only history and provenance on every record, so lineage, audit, and regulatory use cases are answered by the data itself.
Production platforms, not slideware.
One web application for the daily report and the engineering the legacy stack defers to four other products, on an open data model that hands control back to the operator.
Unifies operational data across systems into one governed model, so reporting, cost, and analytics read from a single reconciled source instead of competing exports.
Governs how data moves in and out, aligns it to OSDU, and exchanges it with the operator's warehouse and BI with provenance on every record.
A staged path, earned one asset at a time.
We map the current toolchain, the data sources, and the round-trips between them. We identify where the operator's data is locked in, where the manual handoffs are, and where a single governed model removes the most friction.
We stand up the platforms on a single asset and run them against live operations, not a sandbox. The pilot proves the new model on the operator's real wells, real reports, and real engineering before any fleet commitment.
Once the pilot earns trust, we extend the same governed model across the fleet. The legacy history is ingested first, so the operator never loses continuity, and every asset lands on the open schema.
Modernize the value chain. Own your data.
Start with an assessment of your current toolchain and a production pilot on one asset, run by a team that has done this transformation before.