Down Hole Data Driven Optimization on Bit, Parameters and BHA Lead to an Outstanding Performance in Deep Gas Drilling

R. Kouzaiha, Chris Cleboski, Kyle Vrnak, D. Daechsel, Nadir Al Rawahi
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Abstract

Deep gas drilling the early Devonian unconformity in Oman is an extremely challenging hard and abrasive application fraught with a diverse set of PDC drill bit challenges and objectives, particularly in the 8 3/8″ vertical section where between 2 to 4 fixed cutter drill bits can be necessary to reach total depth. Each trip can significantly impact well construction cost and delay production on stream dates. Using high frequency digital data collected at the drill bit and detailed forensic analysis of drill bit photographs a new, physics based, drilling equipment and parameter strategy was developed. The section requires drilling approximately 2,000m of hard and abrasive interbedded Sandstone and Shale formations to around 5,000m vertical depth. Drilling performance is typically limited by severe wear to the PDC cutting structure or motor failure from significant torsional and lateral vibrations. High frequency digital data was captured at the bit in conjunction with output data from an automated photometric dull grading system over several wells to identify dysfunction type. The results were then analyzed by vendor and operator SMEs collaboratively to optimize drilling parameter performance and provide insights into optimal cutter shape and grade selection to further reduce drilling dysfunction. Using downhole high frequency digital readings to understand down hole vibrations and the impact of formation interaction on bit dull has led to changes in the cutting structure and the applied drilling strategy. Different drilling approaches were applied to each formation layer to manage interbedded transitions as well as to increase depth of cut for improved drill bit dynamic stability. Insights were derived from an automated dull grading system assisted in optimizing cutter shape and grade selection in the select parts of the drill bit cutting structure. The photometric analysis also helped refine drilling parameters for a more efficient drilling by increasing axial loading on hard formations that then resulted in increased ROP. Additionally, newly developed high abrasion resistant cutters placed optimally in the drill bit at the highest work locations based on automated dull grading feedback resulted in extended cutter life helping to keep the bit sharp and maintain the high rate of penetration through the various layers reaching final section depth with consistently high rate of penetration. The execution of the new physics-based drilling strategy has resulted in improved bit dull grade conditions which helped reaching the section final depth in one run with reduced downhole dysfunctions. that resulted in a section drilled without trips and with reduced well construction costs. The section is 32% faster than the offsets and was drilled 7 days earlier compared to plan.
井下数据驱动的钻头、参数和井下钻具组合优化,在深部天然气钻井中取得了优异的性能
阿曼泥盆纪早期不整合地层的深层天然气钻探是一项极具挑战性的硬性磨蚀作业,充满了各种PDC钻头的挑战和目标,特别是在8 3/8″直井段,需要2到4个固定切削齿钻头才能达到总深度。每次下钻都会对建井成本产生重大影响,并延迟生产日期。利用在钻头处采集的高频数字数据和对钻头照片的详细取证分析,开发了一种新的基于物理的钻井设备和参数策略。该部分需要钻约2000米的坚硬磨蚀互层砂岩和页岩地层,垂直深度约5000米。钻井性能通常受到PDC切削结构的严重磨损或严重的扭转和横向振动引起的电机故障的限制。在钻头上捕获高频数字数据,并结合自动光度分级系统的输出数据,确定几口井的功能障碍类型。然后,供应商和作业公司对结果进行分析,以优化钻井参数性能,并提供最佳切削齿形状和等级选择的见解,以进一步减少钻井功能障碍。利用井下高频数字读数来了解井下振动和地层相互作用对钻头磨损的影响,从而改变了切削结构和应用的钻井策略。每个地层采用了不同的钻井方法,以管理层间过渡,并增加切割深度,以提高钻头的动态稳定性。在钻头切削结构的选定部分,通过自动钝度分级系统来优化刀具形状和等级选择。光度分析还有助于优化钻井参数,通过增加硬地层的轴向载荷来提高钻井效率,从而提高机械钻速。此外,基于自动分级反馈,新开发的高耐磨切削齿在最高工作位置放置在钻头上,从而延长了切削齿的使用寿命,有助于保持钻头的锋利,并在各个层之间保持高的钻进速度,从而始终保持高的钻进速度。新的物理钻井策略的实施改善了钻头的钝化程度,有助于在一次下钻中达到井深,减少了井下功能障碍。这使得该井段无需起下钻,并降低了建井成本。该井段的速度比邻井快32%,比原计划提前7天钻完井。
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