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The southern margin of Xinjiang, China, holds vast hydrocarbon reserves but faces drilling challenges due to complex tectonics, variable lithologies, and harsh downhole conditions (high temperature, pressure, and abrasiveness), leading to low ROP, frequent bit failures, and high NPT. To overcome these issues, this study proposes a comprehensive ultra-fast drilling (UFD) optimization framework integrating geological characterization, rock mechanics testing, drillability assessment, and advanced drilling technologies. Key solutions include optimized PDC bits for abrasive formations, rotary steerable systems (RSS), high-performance drilling fluids, and downhole acceleration tools. Field applications, including a case study on the Dongwan Anticline, demonstrated up to 35% higher ROP and 20–25% reduction in drilling time, significantly cutting costs and extending bit life. This data-driven approach enhances efficiency in ultra-deep, geologically complex basins and offers a replicable model for similar global environments.

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Research on Ultra-fast Drilling Technology in Complex Geological Conditions

  • 会议论文

  • 发表日期：

    2026年

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  • Jiangwen Xu,
  • Nan Zhang,
  • Cankun Wang,
  • Hong Huang,
  • Shen Wang,
  • Guangming Qin,
  • Shaokun Luo

摘要

The southern margin of Xinjiang, China, holds vast hydrocarbon reserves but faces drilling challenges due to complex tectonics, variable lithologies, and harsh downhole conditions (high temperature, pressure, and abrasiveness), leading to low ROP, frequent bit failures, and high NPT. To overcome these issues, this study proposes a comprehensive ultra-fast drilling (UFD) optimization framework integrating geological characterization, rock mechanics testing, drillability assessment, and advanced drilling technologies. Key solutions include optimized PDC bits for abrasive formations, rotary steerable systems (RSS), high-performance drilling fluids, and downhole acceleration tools. Field applications, including a case study on the Dongwan Anticline, demonstrated up to 35% higher ROP and 20–25% reduction in drilling time, significantly cutting costs and extending bit life. This data-driven approach enhances efficiency in ultra-deep, geologically complex basins and offers a replicable model for similar global environments.