Reservoir simulation in Julia: Multi-phase, multi-component Darcy flow based on Jutul.jl
Field scale model generation and upscaling toolkit
Computes upscaled fault permeability distributions using a probabilistic description of clay and sand smears. MATLAB and MRST are required to run this code.
Runfiles for an ML near-well model and to reproduce results from the article "A machine-learned near-well model in OPM Flow". Uses pyopmnearwell.
Python library to quickly estimate pressure dynamic and CO2/H2 storage capacity of petroleum fields and aquifers + many useful tools
A tool to build legacy well representations on reservoir simulation grids
A recurrent neural network surrogate model with few-shot learning strategy for CO2 storage in deep subsurface saline aquifer
Standalone Codex workflow for mining engineering, rock mechanics, and CO2 geological storage papers.
CCS storage cost engine: NETL-calibrated thermo/geo/costs/finance pipeline exposed as 10 FastMCP tools. Python 3.12, 240 tests, BSD-3.
Advanced algorithms for optimizing CO₂ injection and storage in geological formations
An interactive R Shiny application for evaluating reservoir suitability and estimating CO2 storage capacity using the OGIP volumetric method. Case study: Beckler-008 reservoir and CALABARZON power plants.
Reproducible CO2-storage screening from public Class VI permit materials using JutulDarcy
Monte Carlo simulation framework for probabilistic CO2 storage capacity assessment under porosity and saturation uncertainty.
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