Implementing 4D seismic inversion based on Linear Programming techniques for CO2 monitoring at the Sleipner field CCS site in the North Sea, Norway

• Autorzy: Singh Ajay Pratap , Maurya Satya Prakash , Kant Ravi , Singh Kumar Hemant , Singh Raghav , Srivastava Manoj Kumar , Hema Gopal , Verma Nitin

Identyfikatory

DOI

10.1007/s11600-024-01376-6

• Języki publikacji: EN

Abstrakty

EN

This article provides a comprehensive analysis of CO2 injection monitoring in the Sleipner Field. Ensuring the safe storage and containment of CO2 in geological formations or assigned storage sites, especially in the carbon capture and storage (CCS) projects. In this study, a seismic inversion method incorporating linear programming sparse spike inversion was employed to observe and analyze the CO2 plume in the Sleipner field, Norway. This approach enhances the understanding of the dynamics and behavior of the CO2 injection, providing valuable insights into the monitoring and assessment of CCS operations in the Sleipner field. The foundational dataset includes 3D post-stack seismic data from the year 1994, with special emphasis on the monitoring data collected in 1999, following four years of CO2 sequestration. The analysis utilized synthetic data to investigate alterations in seismic amplitude, highlighting that amplitude variations were more prominent compared to variations in velocity and density. The findings highlight noticeable shifts in P-wave velocity, signifying a significant 29% reduction, with the most substantial decrease occurring within the 0 to 30% CO2 saturation range. Correspondingly, density changes align with trace variations, demonstrating only a 2-3% reduction in density as gas saturation increases from 0 to 30%. Beyond 30% saturation, density exhibits a further decrease of 30%. The traces collectively reveal a consistent trend, showcasing a 32% reduction in impedance as CO2 saturation levels rise. Through the cross-equalization process, it was observed that the initial data repeatability was low, indicated by a normalized root mean square (NRMS) value of 0.6508. However, significant improvement was achieved, bringing the NRMS value to a more satisfactory level of 0.5581. This improvement underscored the alignment of features both above and below the reservoir, underscoring the efficacy of the cross-equalization technique. The outcomes of the 4D inversion provided insights into the distribution of CO2 within the reservoir, revealing upward migration. Importantly, the results confirmed the secure storage of CO2 within the reservoir, affirming the integrity of the overlying cap layer.

Słowa kluczowe

EN

carbon capture and storage; CCS; 4D inversion; seismic data analysis; cross-equalization; normalized root mean square; NRMS

PL

wychwytywanie i składowanie węgla; CCS; inwersja 4D; analiza danych sejsmicznych

• Wydawca: Instytut Geofizyki PAN ; Springer
• Czasopismo: Acta Geophysica
• Rocznik: 2025
• Tom: Vol. 73, no. 1
• Strony: 271--293
• Opis fizyczny: Bibliogr. 53 poz.

Twórcy

autor

Singh Ajay Pratap

• Department of Geophysics, Institute of Science, Banaras Hindu University, Varanasi 221005, U.P., India

autor

Maurya Satya Prakash

• Department of Geophysics, Institute of Science, Banaras Hindu University, Varanasi 221005, U.P., India

autor

Kant Ravi

• Department of Geophysics, Institute of Science, Banaras Hindu University, Varanasi 221005, U.P., India

autor

Singh Kumar Hemant

• Department of Earth Sciences, Indian Institute of Technology, Bombay, Mumbai 400076, India

autor

Singh Raghav

• Department of Geophysics, Institute of Science, Banaras Hindu University, Varanasi 221005, U.P., India

autor

Srivastava Manoj Kumar

• Department of Geophysics, Institute of Science, Banaras Hindu University, Varanasi 221005, U.P., India

autor

Hema Gopal

• Department of Geophysics, Institute of Science, Banaras Hindu University, Varanasi 221005, U.P., India

• https://orcid.org/0009-0000-4326-1225

autor

Verma Nitin

• Department of Geophysics, Institute of Science, Banaras Hindu University, Varanasi 221005, U.P., India

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki (2025).