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<p>The present study aims to explore the influence of rheological parameters of fracturing fluid and reservoir material parameters on the law of fracture expansion in unconventional reservoirs. A fluid-solid coupling model has been constructed, utilising artificial intelligence technology, with the aim of analysing the coupling behaviour between water-based fracturing fluid and reservoir rock in low-permeability reservoirs. Concurrently, the cracking criterion and rock damage criterion of brittle materials such as low-permeability rocks are established to analyse the influence of different factors on the law of reservoir fracture expansion. Finally, molecular dynamics and microscopic analysis of chemical fluids reveal the expansion mechanism of water-based fracturing fluid on reservoir fractures. The outcomes demonstrate that the rheological parameters of water-based fracturing fluid exhibit remarkable enhancement of reservoir fractures, predominantly attributable to the markedly minimal fracturing fluid filtration under elevated viscosity. While the effect of reservoir temperature on fracturing fluid viscosity is negligible, the formation of a 65m fracture at 180°C does suggest a positive correlation between reservoir temperature and fracture expansion. Furthermore, it is evident that reservoir pressure and elastic modulus also exert an influence on the crack expansion law of water-based fracturing fluid, a phenomenon that can be elucidated by molecular dynamics and rock mechanics. This study provides a foundation for the application of artificial intelligence in the transformation of water-based fracturing fluids within reservoirs.</p>

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Factors Analysis of Affecting Reservoir Fracture Expansion in the Aspect of Revelation of Chemical Kinetics Mechanism Based on Artificial Intelligence

  • 期刊论文

  • 发表日期：

    2025年9月1日

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  • Linqi Zeng,
  • Haotian Song,
  • Xinxiu Jin,
  • Lihui Cheng,
  • Zhihong Wang,
  • Shangfang Gao,
  • Liangliang Li

摘要

The present study aims to explore the influence of rheological parameters of fracturing fluid and reservoir material parameters on the law of fracture expansion in unconventional reservoirs. A fluid-solid coupling model has been constructed, utilising artificial intelligence technology, with the aim of analysing the coupling behaviour between water-based fracturing fluid and reservoir rock in low-permeability reservoirs. Concurrently, the cracking criterion and rock damage criterion of brittle materials such as low-permeability rocks are established to analyse the influence of different factors on the law of reservoir fracture expansion. Finally, molecular dynamics and microscopic analysis of chemical fluids reveal the expansion mechanism of water-based fracturing fluid on reservoir fractures. The outcomes demonstrate that the rheological parameters of water-based fracturing fluid exhibit remarkable enhancement of reservoir fractures, predominantly attributable to the markedly minimal fracturing fluid filtration under elevated viscosity. While the effect of reservoir temperature on fracturing fluid viscosity is negligible, the formation of a 65m fracture at 180°C does suggest a positive correlation between reservoir temperature and fracture expansion. Furthermore, it is evident that reservoir pressure and elastic modulus also exert an influence on the crack expansion law of water-based fracturing fluid, a phenomenon that can be elucidated by molecular dynamics and rock mechanics. This study provides a foundation for the application of artificial intelligence in the transformation of water-based fracturing fluids within reservoirs.