Monitoring Of CO2 Leakage Using High-Resolution 3D Seismic Data – Examples From Snøhvit, Vestnesa Ridge And The Western Barents Sea

• Published in: Proceedings, Fifth CO2 Geological Storage Workshop
• Main Authors: Bellwald, Benjamin, Waage, Malin, Planke, S, Lebedeva-Ivanova, Nina, Polteau, S, Tasianas, Alexandros, Bünz, Stefan, Plaza-Faverola, Andreia, Berndt, Christian, Stokke, H.H., Millett, John, Myklebust, R.
• Format: Article in Journal/Newspaper
• Language: English
• Published: European Association of Geoscientists and Engineers 2018
• Subjects: VDP::Mathematics and natural science: 400::Geosciences: 450::Mineralogy; petrology; geochemistry: 462; VDP::Matematikk og Naturvitenskap: 400::Geofag: 450::Mineralogi; petrologi; geokjemi: 462; VDP::Technology: 500::Rock and petroleum disciplines: 510; VDP::Teknologi: 500::Berg‑ og petroleumsfag: 510; Barents Sea; Gemini; Arctic; Snøhvit
• Online Access: https://hdl.handle.net/10037/14959; https://doi.org/10.3997/2214-4609.201802965

Source at https://doi.org/10.3997/2214-4609.201802965 . Injection of CO2 in subsurface reservoirs may cause overburden deformation and CO2 leakage. The aim of this study is to apply technologies for detection and monitoring of CO2 leakage and deformation above the injection reservoirs. The examples of this study include data from the Vestnesa Ridge natural seep site, the Snøhvit gas field and CO2 storage site region, and the Gemini North gas reservoir. Reprocessing of existing 3D high-resolution seismic data allows resolving features with a vertical and lateral resolution down to c. 1 m and c. 5 m respectively. The current acquisition systems could be modified to image structures down to one meter in both the vertical and horizontal directions. We suggest a monitoring workflow that includes baseline and time-lapse acquisition of highresolution 3D seismic data, integrated with geochemical, geophysical, and geotechnical seabed core and watercolumn measurements. The outcome of such a workflow can deliver reliable quantitative property volumes of the subsurface and will be able to image meter-sized anomalies of fluid leakage and deformation in the overburden.