GSE Sleipner Case Study

Published: 23 April 2026| Version 2 | DOI: 10.17632/rpjk82s7rs.2
Contributor:
Felipe Lisbona Cavalcante

Description

Data associated with the article submitted to Geoenergy Science and Engineering. The dataset includes synthetic seismic cubes, dRMS seismic maps, and property maps for the three zones defined in the article. Seismic cubes are provided in SEG-Y format, and dRMS maps are provided in EarthVision grid format (ASCII). Title: Evaluating reservoir simulation models against 4D seismic data for open access data from the Sleipner field Autores: Felipe L. Cavalcante (1), Daiane Rossi Rosa Lessa (1), Leonildes Soares de Melo Filho (2), Denis José Schiozer (1), Alessandra Davolio Gomes (1) (1) Center for Energy and Petroleum Studies, University of Campinas, Cora Coralina Street, 350, Campinas, SP, Brazil (2) Repsol Sinopec Brasil - Praia de Botafogo, 300 – ZIP Code 22250-040, Rio de Janeiro, RJ – Brazil Correspondence: clfelipe@unicamp.br Abstract The Sleipner CO₂ storage project in the North Sea has become a global reference for carbon capture, utilization, and storage (CCUS), offering a dataset for testing geophysical methodologies. In this study, we assess the capacity of ten publicly available three-dimensional flow models from the British Geological Survey (BGS) to replicate observed four-dimensional seismic responses at the Sleipner East site. Real 4D seismic data provided by Equinor were compared against synthetic responses generated via petroelastic modeling and one-dimensional convolutional forward modeling of the simulation outputs. To address gaps in model documentation, we implemented a robust workflow that integrates literature-derived rock physics parameters with targeted calibration of petroelastic models. Model performance was quantified using the Structural Normalized Cross Correlation (NCC) and Root Mean Square Error (RMSE) metrics applied to attribute maps across three discrete reservoir intervals. Although none of the evaluated models capture every feature of the field data—reflecting their simplified geological frameworks—several closely reproduce the CO₂ plume morphology and signal polarity in specific zones. Our workflow enables reproducible seismic modeling for CCUS benchmarking, with Model 10 achieving the highest similarity (NCC = 0.754) in Zone 1. Moreover, this work provides a reproducible protocol for constructing petroelastic models and conducting seismic forward modeling using publicly accessible datasets for Sleipner.

Files

Steps to reproduce

Download the data and open the files in Schlumberger's Petrel software or another SEG-Y/ASCII reader. The original files were generated using Schlumberger's Petrel software, with the Flow2Seis plugin installed. https://www.deepsoft.com.br/en/Projects/Flow2Seis

Institutions

  • Universidade Estadual de Campinas Centro de Estudos de Petroleo
    SP, Campinas

Categories

Carbon Capture and Storage, Seismic Response, Seismic Analysis, Geophysical Monitoring of Carbon Dioxide Geological Storage, Seismic Monitoring

Funders

Licence