定制和实施地质力学,成功钻穿科威特Greater Burgan油田Ahmadi和Wara页岩的大角井—案例研究

Nitin L. Rane, O. Al-Zankawi, A. Al-Ghareeb, Ebraheem Al-Duraia, E. Hussain, Rajesh Ranadive, Hemant Singh, S. Imtiaz, S. Perumalla, D. G. Rao, D. Upreti, T. Podder, Loui Otri, Ravi Ramaratnam
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引用次数: 0

摘要

成熟的Greater Burgan油田是世界上最大的碎屑油藏,由多个碎屑油藏生产。随着地表堵塞影响钻机移动,目前的井通常在不稳定的上覆页岩中进行大斜度钻井。井眼轨迹变得越来越复杂,导致与卡钻、井底钻具丢失(通常会导致侧轨)相关的井眼不稳定事件大量增加,对测井条件和完井作业提出了挑战。本文在了解页岩岩石破坏机理的基础上,探讨了解决不稳定问题的整体、实用的地质力学方法,并讨论了如何实现钻井、测井和完井的一体化解决方案。对几口井进行了全面的地质力学分析。钻井数据分析有助于了解地层不稳定性、井眼轨迹和泥浆参数之间的关系。进行了实验室测试(化学和机械),以确定岩石的化学和机械行为及其与钻井液的相互作用。以各向异性页岩强度试验为目标,了解岩石强度随攻角的变化规律。地质力学模型是根据钻井问题的观测结果准备和校准的。基于模型和经验的整合,设计出有效的解决方案,在井规划和钻井阶段实施。实测参数和模拟参数的结合表明,多种破坏机制都可能导致页岩破坏,包括:(A)应力引起的钻孔破裂;(b)泥浆和岩石流体的化学孔弹性相互作用;(c)页岩层理面和微裂缝的弱化。采用定制的实时地质力学监测解决方案,提高钻井性能和新井的高效完井。针对大斜度井(65-70度),生成了特定的泥浆设计和泥浆比重,并在钻井过程中实时使用。在随钻测井和录井数据的帮助下,根据井的动态进行实时决策,在单个套管段进行钻井。即使在长段页岩暴露数天后,电缆测井和下入完井管柱也没有任何阻力。整个流程的重新设计被认为是一种经济高效的解决方案,并被记录为未来油井实施的最佳实践。成功地将地质力学、地球化学、岩石物理和钻井工程等多学科相结合,钻出了一口复杂的井。实时地质力学以及定制的钻井液和钻井实践提高了钻井效率。这种综合解决方案有望显著减少未来复杂井型井的非生产时间。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Customization and Implementation of Geomechanics to Successfully Drill High Angle Wells through Ahmadi and Wara Shales, Greater Burgan Field, Kuwait - A Case Study
The mature Greater Burgan field is the largest clastic oil reservoir in the world producing from multiple clastic reservoirs. With growing surface area congestion affecting rig moves, current wells are drilled with high deviation often through unstable overburden shales. Well trajectories are getting more complex, resulting in a large increase in hole instability events associated with stuck pipes, loss of bottom hole assemblies often leading to side-tracks, challenging well logging conditions and well completion operations. This paper discusses a holistic and practical geomechanical approach to solve the instability problems, based on understanding the rock failure mechanism of shale, and also discusses the implementation of an integrated solution to drill, log and complete the wells successfully. A thorough geomechanical analysis was done on several wells. Drilling data analytics helped to understand the relationship among formation instability, well trajectory and mud parameters. Lab tests (chemical and mechanical) were performed to determine the chemical and mechanical behaviour of the rock and its interaction with drilling fluid. Anisotropic shale strength tests were targeted to know the rock strength variation with respect to angle of attack. Geomechanical models were prepared and calibrated with observations of drilling problems. Based on integration of models and experiences, effective solutions were devised to implement at well planning as well as drilling stages. A combination of measured and modelled parameters suggested that multiple failure mechanisms are active to induce shale failure including (a) stress induced borehole breakouts, (b) chemoporoelastic interaction of mud and rock fluid and (c) weakening of shale bedding planes and micro fractures. A customized real-time geomechanical monitoring solution was implemented for improved drilling performance and efficient completion of new wells. Specific mud design and mud weights for drilling high angle wells (65-70 deg) were generated and used in real-time while drilling. With the help of LWD and mud logging data, real-time decisions were taken based on well behaviour to drill the wells in a single casing section. Wireline logging and lowering of completion string was completed without any resistance even after the long section of shale was exposed for several days. This entire re-engineering of the process was accepted as a cost-effective and efficient solution that is being recorded as a best practice for implementation in future wells. Integration of diverse disciplines (geomechanical, geochemical, petrophysical and drilling engineering) was successfully implemented to drill a complex well. Real-time geomechanics along with customized drilling fluid and drilling practices enhanced the drilling efficiency. This integrated solution is expected to significantly reduce non-productive time in future upcoming wells with complex well profiles.
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