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Horizontal well segmented fracturing technology is a necessary means for shale gas development. However, to achieve optimal fracturing design, evaluating the effectiveness of the fractured well is crucial. Currently, in shale gas development, there is still a need to improve the post-fracturing evaluation system to adapt to the efficient and profitable development and production of shale gas under complex geological conditions. To improve the post-fracturing evaluation methods for shale gas, this study comprehensively evaluates several key geological and fracturing design parameters as the main control factors for fracturing effectiveness. This includes reassessment of reservoir in-situ properties based on DFIT test analysis results, comparison of simulation effects and applicability using the FIV (fracturing impact volume in the reservoir) fracture model and DRV model, and further, evaluation of fracturing geometry by analyzing the connectivity of the hydraulic fractures and possible natural fracture. The research results indicate: (1) The permeability analyzed from DFIT tests is an order of magnitude higher than that measured by traditional laboratory experiments, indicating that fracturing design should not only consider small-scale matrix permeability but also consider the enhanced impact of post-comprehensive reservoir permeability, highlighting the dual characteristics of scale dependence and pressure dependence of permeability observation; (2) In regions with developed natural fractures, multi-stage fracturing may involve the possibility of repeated reconstruction. The current fracturing network model has serious problems in reflecting the actual situation of inter-stage impact and thus cannot reflect the true situation of fracturing; (3) Selecting a conceptual model is very important, and the reliability of parameters is almost as important as selecting simulations. Therefore, the Enhanced Permeability Zone (EPZ) fracturing impact volume (FIV model) is more suitable for fracturing simulation design of unconventional deep shale gas; (4) Optimized inter-cluster spacing is the key to efficient single-well optimization design and is also the basis for optimizing inter-well spacing.

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Enhancing Post-fracturing Evaluation and Characterization of Deep Shale Gas Reservoirs Under Complex Geological Conditions

  • 会议论文

  • 发表日期：

    2025年

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  • Bo Zeng,
  • Z. Peter Wang,
  • Yi Song,
  • Cheng Shen,
  • Chen Jing,
  • Wen-na Zhang,
  • Yue Chen

摘要

Horizontal well segmented fracturing technology is a necessary means for shale gas development. However, to achieve optimal fracturing design, evaluating the effectiveness of the fractured well is crucial. Currently, in shale gas development, there is still a need to improve the post-fracturing evaluation system to adapt to the efficient and profitable development and production of shale gas under complex geological conditions. To improve the post-fracturing evaluation methods for shale gas, this study comprehensively evaluates several key geological and fracturing design parameters as the main control factors for fracturing effectiveness. This includes reassessment of reservoir in-situ properties based on DFIT test analysis results, comparison of simulation effects and applicability using the FIV (fracturing impact volume in the reservoir) fracture model and DRV model, and further, evaluation of fracturing geometry by analyzing the connectivity of the hydraulic fractures and possible natural fracture. The research results indicate: (1) The permeability analyzed from DFIT tests is an order of magnitude higher than that measured by traditional laboratory experiments, indicating that fracturing design should not only consider small-scale matrix permeability but also consider the enhanced impact of post-comprehensive reservoir permeability, highlighting the dual characteristics of scale dependence and pressure dependence of permeability observation; (2) In regions with developed natural fractures, multi-stage fracturing may involve the possibility of repeated reconstruction. The current fracturing network model has serious problems in reflecting the actual situation of inter-stage impact and thus cannot reflect the true situation of fracturing; (3) Selecting a conceptual model is very important, and the reliability of parameters is almost as important as selecting simulations. Therefore, the Enhanced Permeability Zone (EPZ) fracturing impact volume (FIV model) is more suitable for fracturing simulation design of unconventional deep shale gas; (4) Optimized inter-cluster spacing is the key to efficient single-well optimization design and is also the basis for optimizing inter-well spacing.