Multi-scale Fracture Prediction of Shiniulan Formation in Zheng'an Block of Northern Guizhou Province Based on Post-stack Seismic Attributes

doi:10.3969/j.issn.1006-6535.2020.05.012

Abstract

Abstract: The Shiniulan Formation of Anchang syncline in Zheng'an Area of northern Guizhou Province is a set of marl strata deposited in deep-water shelf. Previous drilling results show that the distribution of the typical fractured gas reservoirs in the Shiniulan Formation is closely related to the degree of fracture development. In order to further study the fracture plane distribution law of the Shiniulan reservoir in Anchang syncline, the authors analyzed the fracture development characteristics of the target layers through core and imaging logging data, optimized the seismic attributes sensitive to fracture prediction, and predicted the fracture distribution of the Shiniulan Formation by using the fracture enhancement attribute based on seismic pixel processing. The research results show that the ability to identify fractures using conventional seismic curvature attributes is limited, and the seismic data based on seismic pixel processing can effectively improve the imaging of small faults and structural deformation features. On this basis, the recognition ability of fracture enhancement attributes is greatly improved. The actual drilling results verify that the comprehensive coincidence rate between the fracture prediction results based on post-stack seismic attributes and the leakage points of drilling mud is more than 83.3%, thus the prediction result is reliable. This study provides technical supports for optimizing zones and early warning of drilling risk in the Shiniulan Formation.

Key words: marl, seismic optimization, fractured gas reservoir, enhanced attribute, Zheng'an Area, Shiniulan Formation

CLC Number:

TE122

Lan Baofeng, Huang Yi, Zhang Fu, Li Gangquan, Liu Ting, Zhang Jinchuan. Multi-scale Fracture Prediction of Shiniulan Formation in Zheng'an Block of Northern Guizhou Province Based on Post-stack Seismic Attributes[J]. Special Oil & Gas Reservoirs, 2020, 27(5): 81-87.

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