Abstract
Over 20 million tons of CO2 have been injected into the sandy Utsira formation of the Sleipner field in the North Sea basin. The thin layering of sands, CO2-saturated sands, and intra-formation thin shales cause interference effects in the seismic response of the monitor surveys. Initial analysis of the amplitude change suggests over 60 % change in the relative acoustic impedance of the reservoir between the 1996 and 2010 surveys. This study follows a multi-stage inversion scheme applied to time-lapse seismic monitoring of the Sleipner field. At each stage, the errors and uncertainties caused by noise and tuning are deeply analyzed. Time-shift estimation from seismic data shows spurious features caused by tuning, specifically using the window-based methods. The time-strain inversion builds a low-frequency initial model for the subsequent model-based inversion but is contaminated by remnants of noise and interference. The synthetic wedge modelling and analysis provides the origins and severity of the tuning error in time-shift and time-strain estimations at the Sleipner field. The model-based inversion removes noise and injects high-frequency components into the results, improving the outcome of time-strain inversion. However, it fails to fully eliminate the tuning imprints and leaves strong traces of error on the results. Afterward, the time-lapse Bayesian seismic inversion slightly adjusts the outcome and shows how deep the influence of interference effect on the time-lapse inversion is. In addition, the complementary discussion on rock physical models in estimating the saturation changes highlights how the tuning error can lead to flawed quantitative interpretation.
Original language | English |
---|---|
Article number | 104224 |
Journal | International Journal of Greenhouse Gas Control |
Volume | 137 |
Early online date | 21 Aug 2024 |
DOIs | |
Publication status | Published - Sept 2024 |
Keywords
- 4D seismic
- Bayesian inversion
- CO storage
- Sleipner
- Time-lapse inversion
- Time-shift
ASJC Scopus subject areas
- General Energy
- Pollution
- Management, Monitoring, Policy and Law
- Industrial and Manufacturing Engineering