Application of Radial Basis Function Multi-attribute Fusion Technology in the Study of Beach-bar Sand Body Distribution Law

doi:10.11885/j.issn.1674-5086.2022.03.08.01

Abstract

Abstract: Aiming at the difficulty in effective description with the existing seismic resolution due to thin microfacies sand body of the fast changing facies and reservoir heterogeneity, we take the upper Es₄ sub-member of the Boxing Sag of the Daluhu Oilfield as an example, and use the regional isochronous interface T₇ under constraints, chronostratigraphic slices to extract typical seismic amplitude attributes, and clarify the response characteristics of beach-bar facies on seismic amplitude attributes. Seismic sedimentology is used to explore the characterization of beach-bar microfacies. The study identifies five seismic reflection characteristics of beach-bar facies in the upper part of the fourth member of Shahejie Formation. The cluster analysis method is used to identify the distribution range of beach-bar facies, and to describe the distribution form of beach-bar microfacies based on colored inversion technology, and explored to use of the radial basis multi-attribute fusion method in thickness sand body prediction. The results show that the sand body in the northwest that interferes with the original seismic attributes is not developed, and is dominated by semi-deep lacustrine mudstone. This prediction result is in good agreement with the actual geological understanding, eliminating the ambiguity of a single seismic attribute. Based on the above results, the study has finely described the distribution of beach-bar microfacies in the study area, showing that the bar sand microfacies in the study area is well-developed and distributed in a wide range, and shows the characteristics of multiple parallel rows of sand bars facing the semi-deep lake area. It is a favorable target area with good potential for unconventional oil and gas exploration and development in the next step.

Key words: seismic sedimentology, beach bar sand body, cluster analysis, multi-attribute fusion, sand body spread

CLC Number:

TE122

LI Bin, LIANG Yu, ZHAO Hu, YANG Hongwei, WEI Guohua. Application of Radial Basis Function Multi-attribute Fusion Technology in the Study of Beach-bar Sand Body Distribution Law[J]. Journal of Southwest Petroleum University(Science & Technology Edition), 2025, 47(3): 37-47.

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