Freeing Your Subsurface Data: An Open Alternative to Proprietary Project Storage
Every E&P shop that runs Schlumberger's Petrel has the same quiet problem, and most of them have made peace with it
Every E&P shop that runs Schlumberger's Petrel has the same quiet problem, and most of them have made peace with it
There's a particular kind of candidate the oil and gas industry is quietly desperate for right now, and it is not the best
Ask a room of non-engineers what determines how much oil a field will produce and they'll say something about the size of the
There is a specific, well-documented way to make an oil or gas well look more valuable than it is, and it hides inside one innocent-looking
"Petroleum engineer" is one job title covering sub-disciplines that share a hallway and almost nothing else about their day. This is the one
Of all the petroleum sub-disciplines, drilling is the one whose mistakes call you at 2 a.m. The drilling engineer argues with a rock that&
Drilling delivers one well at a time. The production engineer inherits all of them at once — and has to keep a few hundred of them
Drilling makes the hole. Reservoir engineering says what's worth producing. The completions engineer stands in between and answers the question that makes or
Reservoir engineering forecasts the asset. Reservoir simulation builds the physics model the forecast is argued against. They sound like the same job — outsiders, and plenty
Decline-curve analysis is the load-bearing first step of almost every reserves number. We rebuilt the hard part to run entirely in the browser — matching Equinor's open-source math to 0.02 ppm, with no server and no data upload.
Three modules, sharing a Postgres backbone: ingestion, model/forecast, reporting+audit. Buildable in 4-8 weeks on $40-80/month infrastructure. The open-source replacement for the enterprise reserves stack at the bottom of the market.
Two recent reference architectures from the published literature: Equinor's Johan Sverdrup digital twin and SLB+ONGC's 2025 agentic AI framework for large-scale well modeling. Both describe the same architectural pattern.
Small E&P operators and family offices are running 2026 capital on 1990s workflows. The 2024-26 reservoir engineering literature has converged on the diagnosis: the gap is in workflow infrastructure, not algorithms.
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