Gespeichert in:
Bibliographische Detailangaben
Hauptverfasser: Landa-Marbán, David, Sandve, Tor Harald, Gasda, Sarah Eileen
Format: Preprint
Veröffentlicht: 2025
Schlagworte:
Online-Zugang:https://arxiv.org/abs/2508.08670
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
_version_ 1866913985822982144
author Landa-Marbán, David
Sandve, Tor Harald
Gasda, Sarah Eileen
author_facet Landa-Marbán, David
Sandve, Tor Harald
Gasda, Sarah Eileen
contents Effective management of pressure communication and interference between concurrent CO$_2$ storage operations is essential for the development of gigaton-scale storage hubs. Coarse models in reservoir simulation offer a simplified representation of the subsurface to efficiently predict pressure distribution. By averaging properties over larger grid blocks, coarsened models significantly reduce computational demands, enabling faster and more manageable simulations. The approach focuses on preserving key physical properties, namely cell connectivity (transmissibilities) and storage capacity (pore volumes). The effectiveness of the coarsened model is demonstrated by applying the improved well location derived from the coarsened model to the full-resolution Troll aquifer model, resulting in improved pressure distribution. The coarsened model enabled the execution of approximately 100,000 simulations over five days using a local server with 144 CPUs, an effort that would have required around seven months using the original model. The coarsening methodology is implemented using pycopm, an open-source tool design to tailor geological models based on industry-standard grid formats, facilitating its application to other models and applications in reservoir engineering.
format Preprint
id arxiv_https___arxiv_org_abs_2508_08670
institution arXiv
publishDate 2025
record_format arxiv
spellingShingle A Coarsening Approach to the Troll Aquifer Model
Landa-Marbán, David
Sandve, Tor Harald
Gasda, Sarah Eileen
Geophysics
Effective management of pressure communication and interference between concurrent CO$_2$ storage operations is essential for the development of gigaton-scale storage hubs. Coarse models in reservoir simulation offer a simplified representation of the subsurface to efficiently predict pressure distribution. By averaging properties over larger grid blocks, coarsened models significantly reduce computational demands, enabling faster and more manageable simulations. The approach focuses on preserving key physical properties, namely cell connectivity (transmissibilities) and storage capacity (pore volumes). The effectiveness of the coarsened model is demonstrated by applying the improved well location derived from the coarsened model to the full-resolution Troll aquifer model, resulting in improved pressure distribution. The coarsened model enabled the execution of approximately 100,000 simulations over five days using a local server with 144 CPUs, an effort that would have required around seven months using the original model. The coarsening methodology is implemented using pycopm, an open-source tool design to tailor geological models based on industry-standard grid formats, facilitating its application to other models and applications in reservoir engineering.
title A Coarsening Approach to the Troll Aquifer Model
topic Geophysics
url https://arxiv.org/abs/2508.08670