整体实时钻井参数优化提供了一流的钻井性能,并保持了钻头状态——中东一个综合项目的历史案例

Khaled Abdelaal, Ken Atere, Keith LeRoy, A. Eddy, R. Smith
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引用次数: 1

摘要

在中东海湾地区进行了大约9个月的钻井作业后,项目团队努力寻找一个一致且可重复的路线图,以显著提高机械钻速(ROP)。该团队依靠司钻手动控制ROP、钻压(WOB)、压差、泵压力和扭矩。不管司钻的经验如何,一个人很难成功地实时监控和调整多个不断变化的变量。尽管制定了合理的钻井计划,但钻井参数(如钻压、扭矩和压差)的极端变化和缺乏控制阻碍了ROP的重复提高。为了解决这一问题,该团队委托第三方:1)安装电子钻井记录仪(EDR)以提高数据质量;2)将多参数DAS系统集成到钻机的可编程逻辑控制(PLC)系统中;3)实时部署钻井优化软件解决方案。总体目标是建立一个决策支持工具,通过适当的识别和缓解来克服主要的ROP限制因素,从而提高ROP,并为未来的井创造新的优化钻井参数。采用这种新方法进行了一个由两台钻机和每台钻机6口井(共12口井)组成的试验项目。在每口井的每个部分,团队都遵循“确定-计划-执行-审查”的传统持续改进周期。EDR能够准确识别并记录钻井控制极限(如ROP、WOB、扭矩或压差)。DAS系统还能够改善对钻压、机械钻速、扭矩限制和目标压差的控制。实时传递这些信息鼓励了对现有井计划进行修改的讨论。在井后分析过程中,这些数据使优化团队能够清楚地确定每个井段的限制条件,以便在未来的井规划中进行更改。一个灵活的仪表板平台被用来帮助优化团队开发增强的图形,以提高实时性能监控的可见性和准确性。这些仪表板针对关键操作,并允许考虑更多数据,从而提供更全面、更结构化的决策过程。试点项目在几个方面显示出明显的改善。总体而言,底部ROP提高了10.5%,鞋道钻出时间缩短了31%,物理检查显示钻头磨损显著减少。此外,更高质量的数据记录有助于显著改善处理多个数据分析模块的能力。本文描述了部署解决方案的挑战和逐步时序,以实现持续改进,并通过有效地关注过程执行来最大化ROP。执行适合目的的钻井优化计划所需的知识是本工作中描述的解决方案的目标。本文还提供了整个钻井系统的整体视图,以及可以提高从计划到执行阶段效率的钻井参数。
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Holistic Real-Time Drilling Parameters Optimization Delivers Best-in-Class Drilling Performance and Preserves Bit Condition - A Case History from an Integrated Project in the Middle East
After drilling in the Gulf area of Middle East for approximately nine months, the operation’s project team struggled to find a consistent and repeatable roadmap for significant rate of penetration (ROP) improvements. The team was relying on the driller to manually control the ROP, weight on bit (WOB), differential pressure, pump pressure, and torque. Regardless of the driller’s experience, it is difficult for a single person to successfully monitor and adjust for multiple and continuously changing variables in real time. Extreme variation and lack of control on drilling parameters (such as WOB, torque, and differential pressure) prevented repeatable ROP improvements, despite having a sound drilling plan. To solve this problem, the team tasked a third party to 1) deploy its electronic drilling recorder (EDR) to improve data quality, 2) integrate its multi-parameter DAS™ system into the rig’s programmable logic controls (PLC) system, and 3) deploy drilling optimization software solutions in real time. The overall objective was to build a decision-supporting tool to overcome the main ROP limiters through proper identification and mitigation, thus yielding higher ROP and creating newly optimized drilling parameters for future wells. A pilot program consisting of two rigs and six wells per rig (12 wells in total) was executed utilizing this new approach. Over each section of each well, the team followed a traditional continuous improvement cycle of "Identify– Plan – Execute – Review". The EDR was able to accurately identify and record the drilling control limits (such as for ROP, WOB, torque, or differential pressure). The DAS system was also able to demonstrate improved control of WOB, ROP and, torque limits, and target differential pressures. Delivering this information in real time encouraged conversations around modifications to the existing well plan. During post-well analysis, the data allowed the optimization team to clearly identify the limiter of each hole section for changes in future well planning. A flexible dashboard platform was utilized to assist the optimization team by developing enhanced graphics to improve the visibility and accuracy of the real-time performance monitoring. These dashboards target critical operations and allow more data to be taken into consideration, thus providing a more holistic and structured decision-making process. The pilot program showed measurable improvement in several areas. Overall, on-bottom ROP improved by 10.5%, shoe track drill-out times were reduced by 31%, and physical inspections showed significant reductions in bit wear. Additionally, the higher quality of data recording contributed to a noticeable improvement on processing multiple data-analytics modules. This paper describes the challenges and step-by-step chronology of solutions deployed to achieve continuous improvement and to maximize ROP by effectively focusing on process execution. The knowledge required to execute a fit-for-purpose drilling optimization plan was the objective to the solution described in this work. This paper also provides a holistic view of the entire drilling system, along with insight into drilling parameters that can improve efficiency from planning to the execution phase.
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