T151 Geologic Carbon Storage

Tuesday, 11 October 2022
8:00 AM - 12:00 PM
Mile High Ballroom 4B


A STRESS-DEPENDENT ROCK PHYSICS MODEL FOR TIME-LAPSE SEISMIC MONITORING OF GEOLOGIC CARBON STORAGE

Paper number: T151-5
Program: Technical Sessions
Time: 8:55 AM – 9:10 AM


Authors


Abstract

Accurate rock physics modeling is crucial for time-lapse seismic monitoring of CO2 storage reservoirs. Generating accurate seismic modeling data requires realistic rock physics theory to build elastic models of the subsurface. The Biot-Gassmann equation has been the standard approach in generating these models. Previous experiments illustrated that rock units filled with free-phase CO2 demonstrate large changes in seismic velocities (~15% decrease for P-wave velocity [Vp] and ~16% decrease for S-wave velocity [Vs]). Estimating effects of CO2 saturation with the Biot-Gassmann equation cannot replicate these large changes in seismic velocities because this approach only considers the impact of supercritical CO2 on the fluid properties and does not consider the justifiably proven evidence that rocks under these conditions are stress dependent. In this work, we expand the Gassmann equation with more accurate rock physics by including the stress dependence of seismic velocities because of compliant porosity, Krief's relations on fluid-saturated rocks, and CO2 saturation effects on the rock framework. We create time-lapse elastic velocity models with our new method using flow simulations of injected CO2 migration in the Kimberlina 2 model for the previously proposed Kimberlina CO2 storage site in California. We compare results of CO2-induced changes of elastic parameters obtained using the Biot-Gassmann equation and our new model leveraging stress-dependent rock physics. We demonstrate that our innovative approach produces larger changes in Vp, Vs, and density than those obtained using the Biot-Gassmann equation. Furthermore, these larger changes are more consistent with laboratory and field observations. Our more accurate rock physics model improves accuracy of time-lapse elastic-wave modeling for seismic monitoring of geologic carbon storage sites. This approach will potentially improve the quantification of a CO2 plume within a storage reservoir and secondary plumes in overlying permeable formations via seismic imaging, inversion, machine learning, etc., since simpler theories (e.g., Gassmann equation) significantly underestimate the influence of CO2 saturation on seismic waves.

Geological Society of America Abstracts with Programs. Vol. 54, No. 6

doi: 10.1130/abs/2022AM-380805

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