中国石化智能钻井技术进展与展望

Progress and Prospects of Sinopec’s Intelligent Drilling Technologies

  • 摘要: 智能钻井具有自感知、自学习、自决策、自执行和自适应等功能,有望大幅度提高钻井效率,降低钻井成本。为加速推动智能钻井技术发展,中国石化针对实时感知、智能决策及集成控制等方面存在的关键技术难点,开展了自动化钻机及关键装备、随钻工程地质参数感知、智能钻井分析决策和智能钻井系统集成等的攻关研究,进行了现场集成与示范应用,实现了钻井参数智能优化、井筒风险智能预警、井眼轨迹智能导航等应用场景的多目标协同优化,达到了咨询模式下智能辅助−人工决策的闭环控制水平,支撑了重点油气领域勘探开发的降本增效。为更好地发展智能钻井技术,在分析所存在问题的基础上,梳理、总结了中国石化近些年在智能钻井关键技术研究取得的进展,提出应进一步加强全自动钻机装备、高性能测传控系统和数字孪生决策系统等关键技术研究,加大技术迭代升级,推动智能钻井由咨询模式向半自主、自主控制模式转变。

     

    Abstract: Intelligent drilling has functions such as self-perception, self-learning, self-decision-making, self-execution, and self-adaptation. It is expected to significantly improve drilling efficiency and reduce operating costs. In order to accelerate the development of intelligent drilling technologies, Sinopec has conducted research on key technologies such as automated drilling rigs and key equipment, geological parameter perception while drilling engineering, intelligent drilling analysis and decision-making, and intelligent drilling system integration in terms of real-time perception, intelligent decision-making, integrated control, and other aspects. Integration and demonstration applications have been carried out on site, achieving multi-objective collaborative optimization of application scenarios such as intelligent optimization of drilling parameters, intelligent warning of wellbore risks, and intelligent navigation of wellbore trajectories. The closed-loop control level of intelligent assistance and manual decision-making in consulting mode has been achieved, which effectively supports cost reduction and efficiency improvement in key oil and gas exploration and development fields. In order to better develop intelligent drilling technologies, based on the analysis of the current problems, the latest progress in the research on key technologies for intelligent drilling in Sinopec was summarized. It was proposed to further strengthen the research on key technologies such as fully automated drilling rigs and equipment, high-performance measurement and control systems, and digital twin decision-making systems, increase technological iteration and upgrading, and promote the transformation of intelligent drilling from consulting mode to semi-autonomous and autonomous control modes.

     

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