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

Weiwei Zhu, Xupeng He, Tadeusz Wiktor Patzek, Zhiqiang Chen, Hussein Hoteit, Derek Elsworth, Shengwen Qi, Moran Wang

Research output: Contribution to journalArticlepeer-review

Abstract

Complex 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.

Original languageEnglish (US)
Article numbere2024GL109569
JournalGeophysical Research Letters
Volume51
Issue number14
DOIs
StatePublished - Jul 28 2024

All Science Journal Classification (ASJC) codes

  • Geophysics
  • General Earth and Planetary Sciences

Cite this