Smart Proxy Reservoir Simulation
A learned stand-in for the full reservoir simulator that answers in seconds instead of hours, so an engineer can test fifty scenarios instead of three.
15 capabilities
Turning logs, cores, seismic and production history into a reservoir picture you can argue with — and act on.
Fifteen capabilities across interpretation, characterisation, simulation and forecasting. The emphasis is on speed of iteration: a history match that takes four months is a match nobody uses.
A learned stand-in for the full reservoir simulator that answers in seconds instead of hours, so an engineer can test fifty scenarios instead of three.
Tunes the reservoir model until it reproduces what the field actually produced, automatically and with the uncertainty kept rather than discarded.
Labels rock type from well logs across hundreds of wells consistently, which a team of interpreters working separately cannot do.
Measures porosity, grain size and fracture density from core photographs and CT scans instead of from a description written twenty years ago.
Fills the rock between wells with geologically plausible detail instead of a smooth interpolation that no outcrop ever looked like.
Picks faults and horizons across a full seismic volume in hours, leaving the interpreter to judge rather than to click.
Finds the bad intervals in the log archive and reconstructs curves that were never run, so the field has a complete set to work from.
Searches injection strategies — what to inject, where, and at what rate — against recovery and cost together.
Rules out the EOR methods that cannot work in this reservoir before anyone spends a year simulating them.
Searches for where the next wells should go, with drilling feasibility and surface constraints inside the search rather than applied afterwards.
Produces P10, P50 and P90 production forecasts whose spread is calculated, not chosen to look reasonable.
Reads pressure build-up data, proposes the reservoir model behind it, and flags the tests that are not interpretable.
Extracts fluid study data from decades of laboratory reports and tunes the equation of state against all of it, not against the one report someone had to hand.
Fits decline curves across every well in the field on a consistent basis and keeps the audit trail that a reserves report needs.
Evaluates whole development concepts — well count, phasing, facility size — as one connected problem instead of four separate studies.