Special Oil & Gas Reservoirs ›› 2026, Vol. 33 ›› Issue (1): 1-10.DOI: 10.3969/j.issn.1006-6535.2026.01.001

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Current state and prospects of fracturing-flowback-based data-driven fracture network diagnostic technology for tight reservoirs

ZHANG Yanjun1, XU Hao1, CAI Wenbin1, ZHOU Desheng1, WANG Luyu2, LIU Jianbin1   

  1. 1. Xi'an Shiyou University, Xi'an, Shaanxi 710065, China;
    2. The Hong Kong Polytechnic University, Hong Kong 999077, China
  • Received:2024-07-08 Revised:2025-11-02 Online:2026-02-25 Published:2026-06-22

Abstract: Fracture network diagnosis of tight reservoirs is an important aspect of evaluating fracturing effect.The diagnostic results can not only serve to assess the fracture network transformation,but also provide a theoretical basis for optimizing subsequent fracturing designs.In light of the current insufficient utilization of fracturing-flowback data in tight reservoir fracture network diagnostics,a comprehensive review and analysis of the current situation in fracturing-flowback-based data-driven fracture network diagnostic technology for tight reservoirs was conducted.Key existing issues in tight reservoir fracture network diagnostics were discussed,and the focus areas for future development of data-driven fracture network diagnostic technologies using fracturing and flowback data were identified.The study shows that current tight reservoir fracture network diagnostic techniques exhibit lag effects,non-uniform fracture closure effects,and inter-well interference effects in closely spaced volume-fractured wells.It is necessary to establish a full-cycle(fracturing-shut-in-flowback)fracture network diagnostic method,develop diagnostic techniques based on pressure decline curves during shut-in,and advance fracture network diagnostic techniques under inter-well interference conditions.The results of this study provide new ideas and technical support for the development of fracturing-flowback-based data-driven fracture network diagnostic technology in tight reservoirs.

Key words: fracturing, flowback, fracture network diagnostics, data-driven, tight reservoir

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