Reservoir systems
Machine learning guided by geological context.
Forecasting, optimization, and model support for subsurface teams who need useful systems under uncertainty.
Intelligent Geologics / Main
Machine learning research and operating tools for reservoir engineering, carbon storage, and petroleum management.
01
Machine learning for reservoir characterization, CO2 storage forecasting, and subsurface decision tooling.
Reservoir systems
Forecasting, optimization, and model support for subsurface teams who need useful systems under uncertainty.
CCS / CCUS
Capacity, pressure, surveillance, and decision cadence framed as one technical surface.
Decision tooling
Interface surfaces that keep geology, uncertainty, and operating constraints visible in review.
02
Operating tools for petroleum management and subsurface programs. Currently one product in development: Fieldman.
Fieldman / Active MVP
Field status, asset registers, reserves context, and program control rendered with the clarity of an instrument panel.
Planned
Internal tooling for experiments, comparative runs, and technical reporting organized outside one-off notebooks.
Planned
Tools that carry model review into repeatable reporting and operating workflows.
03
Reservoirs, unconventional systems, carbon storage, geothermal, and petroleum management.
Energy scope
One technical domain across petroleum management, carbon storage, geothermal, and adjacent subsurface programs.
04
Research notes and release updates.
April 8, 2026
An essay on material reality, industrial honesty, petroleum, and decarbonization from inside the industry itself.
launch-note / April 7, 2026
An introduction to Intelligent Geologics - what it builds, where the research is aimed, and what comes next.
Contact / 05