深井超深井钻采设备关键部件性能优化分析
Performance Optimization Analysis of Key Components of Deep and Ultra-Deep Well Drilling and Production Equipment
为保证能源安全,深井超深井钻探越来越重要,但是超深层高温、高压、高腐蚀、复杂应力等极端环境,造成钻采设备关键部件性能变坏、失效,严重阻碍钻井效率和作业安全。本文对相关研究进展进行综述,分析钻柱系统在振动和屈曲耦合时的失效机理,提出主动和被动相结合的减振措施;整理高效破岩理论及提速工具(PDC钻头、井下动力钻具)的设计方法;总结抗高温、抗H2S腐蚀材料的成分设计及热处理革新,表面工程防护技术;归纳出自动化钻机、旋转导向系统等智能装备的技术革新。经调查研究发现,目前关键部件优化已发展为“材料-结构-工况”协同的系统工程,但仍面临诸多问题,如:超高温材料性能衰减、多场耦合失效机理不清、智能化不足等。因此,未来需将基础理论加强,将耐超高温材料、智能诊断与自适应控制等关键技术打破,对全身吗周期性能优化体系进行构建。
To ensure energy security, deep and ultra-deep well drilling is becoming increasingly important. However, the extreme conditions in ultra-deep layers, such as high temperature, high pressure, high corrosion, and complex stress, cause the performance of key components of drilling and production equipment to deteriorate and fail, seriously hindering drilling efficiency and operational safety. This paper reviews the relevant research progress, analyzes the failure mechanism of the drill string system under the coupling of vibration and buckling, and proposes vibration reduction measures combining active and passive methods; summarizes the efficient rock-breaking theory and the design methods of speed-increasing tools (PDC bits, downhole power drilling tools); summarizes the composition design and heat treatment innovation of high-temperature and H2S corrosion-resistant materials, as well as surface engineering protection technologies; and summarizes the technological innovations of intelligent equipment such as automated drilling rigs and rotary steering systems. Through investigation and research, it is found that the optimization of key components has now developed into a “material-structure-operating condition” coordinated system engineering, but still faces many problems, such as the performance degradation of ultra-high-temperature materials, unclear multi-field coupling failure mechanisms, and insufficient intelligence. Therefore, in the future, it is necessary to strengthen the basic theory, break through key technologies such as ultra-high- temperature materials, intelligent diagnosis, and adaptive control, and construct a full-cycle performance optimization system.
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