Estimating saturation and density changes caused by CO2 injection at Sleipner — Using time-lapse seismic amplitude-variation-with-offset and time-lapse gravity

Author:

Landrø Martin1,Zumberge Mark2

Affiliation:

1. Norwegian University of Science and Technology, Department of Geoscience and Petroleum, Trondheim, Norway..

2. University of California, Scripps Institution of Oceanography, San Diego, California, USA..

Abstract

We have developed a calibrated, simple time-lapse seismic method for estimating saturation changes from the [Formula: see text]-storage project at Sleipner offshore Norway. This seismic method works well to map changes when [Formula: see text] is migrating laterally away from the injection point. However, it is challenging to detect changes occurring below [Formula: see text] layers that have already been charged by some [Formula: see text]. Not only is this partly caused by the seismic shadow effects, but also by the fact that the velocity sensitivity for [Formula: see text] change in saturation from 0.3 to 1.0 is significantly less than saturation changes from zero to 0.3. To circumvent the seismic shadow zone problem, we combine the time-lapse seismic method with time-lapse gravity measurements. This is done by a simple forward modeling of gravity changes based on the seismically derived saturation changes, letting these saturation changes be scaled by an arbitrary constant and then by minimizing the least-squares error to obtain the best fit between the scaled saturation changes and the measured time-lapse gravity data. In this way, we are able to exploit the complementary properties of time-lapse seismic and gravity data.

Publisher

Society of Exploration Geophysicists

Subject

Geology,Geophysics

Cited by 16 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. References;Storage of Carbon Dioxide in Saline Aquifers: Building confidence by forecasting and monitoring;2023-08-04

2. Deep learning for characterizing CO2 migration in time-lapse seismic images;Fuel;2023-03

3. Monitoring of Large‐Scale CO 2 Injection Using CSEM, Gravimetric, and Seismic AVO Data;Geophysical Monitoring for Geologic Carbon Storage;2022-03-07

4. Bayesian rock-physics inversion: Application to CO2 storage monitoring;GEOPHYSICS;2021-06-30

5. Using diving waves for detecting shallow overburden gas layers;GEOPHYSICS;2021-06-11

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