pyopmspe11: A Python framework using OPM Flow for the SPE11 benchmark project
Peer reviewed, Journal article
Published version
Permanent lenke
https://hdl.handle.net/11250/3176080Utgivelsesdato
2025Metadata
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Originalversjon
10.21105/joss.07357Sammendrag
The imperative to achieve climate change goals and the increasing worldwide demand for energy have made geological carbon storage (GCS) technology more relevant today. Since utilizing computational models is essential for planning large-scale GCS projects, it is crucial to benchmark simulation tools to enhance confidence in their results. Inspired by a recent validation study for laboratory-scale CO2 storage (Flemisch et al., 2024), a new comparative solution project (CSP) was launched to simulate both lab- and field-scale CO2 storage (Nordbotten et al., 2024). This project is called the 11th Society of Petroleum Engineers CSP, and we refer to it as the SPE11 benchmark. The main objective for the SPE11 benchmark is to provide a common platform and reference case for numerical simulation of GCS. A community effort was run by the “Early Access Team” to create utility scripts and input files for popular simulators to make participation more accessible. As part of the “Early Access Team”, we have developed and made open the pyopmspe11 tool which facilitates reproducible solutions to the SPE11 benchmark. This tool serves as a common starting point for developing and testing new GCS simulation technology. Due to its user-friendly functionality (e.g., generation of different types of grids at different grid resolutions, flexibility to choose different rock and fluid properties, flexibility to define well/source locations and schedule for operations), it is expected that its impact will extend far beyond the initial benchmark study (e.g., studies focusing on grid refinement, upscaling/coarsening approaches, numerical solvers, optimization/history matching techniques).