刻画非均质储层边界的梯度结构张量属性阈值选取策略

doi:10.11720/wtyht.2025.1502

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Abstract

The gradient structure tensor (GST) serves as a common attribute to characterize the boundaries of strongly heterogeneous reservoirs, such as fracture-cavity types, playing an important role in research on carbonate reservoirs. However, due to a lack of dimensions and high difficulties in threshold determination, the accuracy of GSI directly affects the precision of reservoir delineation and reserve estimation. Given this, focusing on a fracture-cavity carbonate reservoir model, this study proposed a three-step strategy for threshold selection based on analysis of the GST attribute distribution corresponding to noisy reservoir and non-reservoir regions. First, the distribution of GST attribute values was statistically analyzed. Then, the value distribution of attribute values in the non-reservoir regions was estimated to identify their mean point, left critical point, and right critical point. Finally, the right critical point was selected as the threshold for the GST attribute of noisy reservoirs, thus delineating the boundaries of fracture-cavity bodies. Model tests and practical applications demonstrate the feasibility and effectiveness of this method. The findings provide a foundation for the application and promotion of the GST attribute in geophysics.

Key words： gradient structure tensor (GST) carbonate rock threshold selection noisy reservoir boundary of fracture-cavity reservoir

Received: 26 December 2024 Published: 23 October 2025

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	Articles by authors
	Cheng-Gang ZHOU
	Heng-Chao YUAN
	Jun TIAN
	Yun-Chao WANG
	Yan-Qi CHEN
	Qiu-Hong YANG

Cite this article:

Cheng-Gang ZHOU,Heng-Chao YUAN,Jun TIAN, et al. A strategy for threshold selection of gradient structure tensor attributes for boundary delineation of heterogeneous reservoirs[J]. Geophysical and Geochemical Exploration, 2025, 49(5): 1118-1125.

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https://www.wutanyuhuatan.com/EN/10.11720/wtyht.2025.1502 OR https://www.wutanyuhuatan.com/EN/Y2025/V49/I5/1118

Seismic profile for theoretical model and seismic forward model

Seismic profile for GST attribute

Distribution of GST attribute value range across different signal components

Superimposed visualization of noise-containing GST attributes and multi-component range distributions

Seismic profile for seismic forward model and GST attributes,S/N=1

Seismic profile for seismic forward model and GST attributes,S/N=10

Seismic profile for seismic forward model and GST attributes,S/N=5

Seismic profile for seismic forward model and GST attributes,S/N=2

SNR distribution histogram of seismic data across the study area

Seismic profile and GST attribute profile crossing well W1

Crossplot of well logs and GST attributes for well W1

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