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<p>As net-zero efforts accelerate, unconventional gas and other low-carbon geological energy resources are increasingly important. Reliable evaluation of hydraulic fracturing (HF) effectiveness is essential for efficient shale gas development. Microseismic monitoring is widely used to estimate stimulated reservoir volume (SRV) and related fracture dimensions, yet in heterogeneous shales with complex natural fractures, microseismic-derived SRV can deviate markedly from the actual stimulated volume, undermining fracture optimization and production forecasting. We propose a criterion to identify when SRV requires correction, based on whether natural fractures are shear pre-activated by the combined effects of HF-tip stress perturbations and the in-situ stress field. True-triaxial HF experiments with acoustic emission monitoring clarify the controlling mechanisms and their dependence on operational parameters. A field case from the JYXX-1HF horizontal well in the Fuling shale gas field, supported by numerical simulations of fracture networks and stress-perturbation zones under varying natural fracture densities, further validates the criterion. Results show SRV bias is mainly driven by shear pre-activation of natural fractures near the HF tip, and that correction factors for fracture length and width are jointly governed by operational settings and natural fracture density. This framework improves SRV calibration and microseismic interpretation.</p>

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Study on Calibration Methods for Microseismic Monitoring Results in Shale Gas Reservoirs: A Case Study of Horizontal Wells in the Fuling Shale Gas Field

  • 期刊论文

  • 发表日期：

    2026年5月19日

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  • Jialin Xiao,
  • Jun Zhou,
  • Zhifang Zhu,
  • Shijie Chen,
  • Hongyu Xian,
  • Zixi Jiao

摘要

As net-zero efforts accelerate, unconventional gas and other low-carbon geological energy resources are increasingly important. Reliable evaluation of hydraulic fracturing (HF) effectiveness is essential for efficient shale gas development. Microseismic monitoring is widely used to estimate stimulated reservoir volume (SRV) and related fracture dimensions, yet in heterogeneous shales with complex natural fractures, microseismic-derived SRV can deviate markedly from the actual stimulated volume, undermining fracture optimization and production forecasting. We propose a criterion to identify when SRV requires correction, based on whether natural fractures are shear pre-activated by the combined effects of HF-tip stress perturbations and the in-situ stress field. True-triaxial HF experiments with acoustic emission monitoring clarify the controlling mechanisms and their dependence on operational parameters. A field case from the JYXX-1HF horizontal well in the Fuling shale gas field, supported by numerical simulations of fracture networks and stress-perturbation zones under varying natural fracture densities, further validates the criterion. Results show SRV bias is mainly driven by shear pre-activation of natural fractures near the HF tip, and that correction factors for fracture length and width are jointly governed by operational settings and natural fracture density. This framework improves SRV calibration and microseismic interpretation.