A Novel Connectivity Metric of Identified Multi‐Cluster Fracture Networks in Permeable Formations

Author:

Zhu Weiwei123ORCID,He Xupeng4,Patzek Tadeusz Wiktor5,Chen Zhiqiang6,Hoteit Hussein5ORCID,Elsworth Derek7,Qi Shengwen12ORCID,Wang Moran3ORCID

Affiliation:

1. Key Laboratory of Shale Gas and Geoengineering Institute of Geology and Geophysics Chinese Academy of Sciences Beijing China

2. College of Earth and Planetary Sciences University of Chinese Academy of Sciences Beijing China

3. Department of Engineering Mechanics Tsinghua University Beijing China

4. EXPEC Advanced Research Center Saudi Aramco Dhahran Saudi Arabia

5. Ali I. Al‐Naimi Petroleum Engineering Research Center (ANPERC) King Abdullah University of Science and Technology Thuwal Saudi Arabia

6. Petroleum Exploration and Production Research Institute SINOPEC Beijing China

7. Department of Energy and Mineral Engineering EMS Energy Institute and G3 Center Pennsylvania State University University Park PA USA

Abstract

AbstractComplex natural fracture networks typically consist of multiple clusters, whose connectivity is rarely quantified. Therefore, for each identified fracture network, we propose a connectivity metric that accounts for individual fracture clusters and their interactions. This metric evaluates contributions from all fracture clusters, considering their relative sizes and interactions among the isolated clusters, which in turn depend on the hydraulic conductance of the interconnecting rock matrix. Furthermore, we investigate how the system connectivity depends on fracture sealing, alterations of central clusters, and cluster linkage. Fracture sealing strongly impacts overall fracture connectivity, with 5 percent of sealed fractures reducing connectivity by 20 percent. The connectivity reduction is small when transitioning the central cluster from the largest to the smallest one. However, the largest cluster significantly contributes to overall connectivity, while the smallest one contributes minimally. Natural fracture networks increase connectivity by linking more clusters, with heterogeneity and anisotropy playing pivotal roles.

Funder

National Key Research and Development Program of China

National Natural Science Foundation of China

Publisher

American Geophysical Union (AGU)

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