TY - GEN
T1 - GAS SATURATION CHARACTERIZATION OF TIGHT SANDSTONE VIA AVO ATTRIBUTES
AU - Tian, Y.
AU - Stovas, A.
AU - Gao, J.
AU - Yu, J.
AU - Li, M.
N1 - Publisher Copyright:
Copyright© (2022) by the European Association of Geoscientists & Engineers (EAGE). All rights reserved.
PY - 2022
Y1 - 2022
N2 - It is hard to characterize the reservoir fluid in tight sandstone because of its low porosity and low permeability. AVO technique is an important tool to inverse the reservoir parameters from the seismic data. This study focuses on the gas saturation characterization of tight sandstone based on the AVO attributes. Considering the key issues include the rock physics modeling and the construction of the gas saturation inversion model. We first introduce the Backus average and Gassmann's equation to construct the rock physics model. Then, through the forward modeling, the relationship between gas saturation and AVO attribute is established. Based on the relationship, we develop an optimization model to inverse the gas saturation. We apply the proposed workflow to the field data acquired in the East China Sea. The real data application illustrates the effectiveness of the proposed workflow.
AB - It is hard to characterize the reservoir fluid in tight sandstone because of its low porosity and low permeability. AVO technique is an important tool to inverse the reservoir parameters from the seismic data. This study focuses on the gas saturation characterization of tight sandstone based on the AVO attributes. Considering the key issues include the rock physics modeling and the construction of the gas saturation inversion model. We first introduce the Backus average and Gassmann's equation to construct the rock physics model. Then, through the forward modeling, the relationship between gas saturation and AVO attribute is established. Based on the relationship, we develop an optimization model to inverse the gas saturation. We apply the proposed workflow to the field data acquired in the East China Sea. The real data application illustrates the effectiveness of the proposed workflow.
UR - https://www.scopus.com/pages/publications/85142711326
M3 - 会议稿件
AN - SCOPUS:85142711326
T3 - 83rd EAGE Conference and Exhibition 2022
SP - 2874
EP - 2878
BT - 83rd EAGE Conference and Exhibition 2022
PB - European Association of Geoscientists and Engineers, EAGE
T2 - 83rd EAGE Conference and Exhibition 2022
Y2 - 6 June 2022 through 9 June 2022
ER -