Open Access

Downloads

Download data is not yet available.

Abstract

Amplitude Versus Offset (AVO) is an effectively used seismic method in O&G exploration and production. Many studies indicated that the combination of AVO and seismic inversion allows reducing risks in the identification of gas-bearing sandstone reservoirs. Based on the input data including Pre-stack Time Migration, Post-stack Depth Migration and well logging at well 2X, the paper presents the method and procedure of analyzing AVO properties at GX field, block 05-2, Nam Con Son basin. The paper showed the process of building synthetic seismograms with common depth points, sketching graphs to analyze the behavior of AVO properties using intercept A and gradient B values calculated from the well logging data at a defined well, and predicting AVO’s behavior when the lithological and fluid properties in the reservoir change. Therefore, the abnormal section of the reservoir is constructed to determine the lithological features of the reservoir as well as the fluid within the GX field. The interpreted results reveal that the research object is a gas-bearing sandstone reservoir with the boundary in the time domain of 2920ms - 2936ms (or depth 3582.9m - 3616.1m), which is the foundation for determining the reservoir's potential scale.



Author's Affiliation
Article Details

 Copyright Info

Creative Commons License

Copyright: The Authors. This is an open access article distributed under the terms of the Creative Commons Attribution License CC-BY 4.0., which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

 How to Cite
Truong, T., Nguyen, K., Tran, T., Nguyen, T., & Ngo, Q. (2021). Determining the petroleum potential of sandstone reservoir GX field based on AVO analysis. VNUHCM Journal of Engineering and Technology, 4(SI3), SI49-SI60. https://doi.org/https://doi.org/10.32508/stdjet.v4iSI3.628

 Cited by



Article level Metrics by Paperbuzz/Impactstory
Article level Metrics by Altmetrics

 Article Statistics
HTML = 202 times
PDF   = 87 times
Total   = 87 times