Optimized Completions Design Using Retrofit Autonomous Inflow Control Devices

E. Nnebocha, Akinola Akinbola, O. Kakayor, Adetayo Odutayo, Tunji Olukayode, Olawale Oguntayo, C. Onwuchekwa, A. Dikshit, A. Nkanga, Temitope Ilusemeti, Amrendra Kumar, Aleksander Rudic, O. Olagunju, Richmond Nduka Nwaokwu, Chidi Henry Ugboaja
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引用次数: 1

Abstract

Discovered in 1964, the Beta Field in the Niger Delta sedimentary basin consists of 25 stacked hydrocarbon-bearing reservoirs located between 5,500 and 12,000 feet true vertical depth subsea (TVDSS). A total of 26 wells have been drilled in the field, of which 11 are presently on production. Oil production peaked at 8,900 stock-tank barrels per day shortly after field start-up and has been on the decline. More than 40 years since production start-up, the Beta Field remains a relatively immature, distinctly underdeveloped asset. Only about 59 million stock tank barrel (STB), or 8% of its estimated stock-tank oil initially in place of 740 million STB, had been produced by the end of 2017. Two horizontal wells were planned in the field to provide additional drainage points and increase field production. However, a production forecast of the planned wells showed potential early water breakthrough and high water cut because of unfavorable mobility ratios of a slightly viscous oil and proximity to oil/water contact (OWC). To mitigate the production challenges and improve the reservoir sweep, autonomous inflow control devices (AICDs) were selected to be installed on the sandface completion. These wells were drilled and completed during the COVID-19 pandemic, bringing additional challenges in equipment availability and logistics with potential to derail the successful completion of these wells within the required timeline. An innovative retrofit screen design, leveraging detailed engineering design and remote collaboration, enabled the conversion of ICD sand control screens to cyclonic AICD screens. AICD nozzle placement was optimized using a reservoir-centric workflow that integrates the full reservoir model with the sandface completion. Real-time interpretation of the data enabled computation of porosity-permeability and saturation estimates from logging-while-drilling (LWD) logs, which was then used in updating the reservoir model in near-real time. Using a segmented well modeling approach and a refined flow distribution from heel to toe, AICD nozzle placement was optimized in real time utilizing LWD measurements from open hole along the horizontal drain, aiding the design and configuration of the AICDs. The Beta-7 and Beta-8 wells were successfully drilled, completed, and put on production. The horizontal drains were landed within 5 to 10 feet of the top of the reservoir, maintaining at least 20-ft distance from the OWC. The forecasted simulation showed possible water influx from the toe of the horizontal as opposed to the heel because of existing water leg and high permeability at the toe. This was supported by high water-cut production from that zone in the nearby wells. This insight from the full-field simulation model enabled an informed decision on the AICD design.
利用改进型自动流入控制装置优化完井设计
位于尼日尔三角洲沉积盆地的Beta油田于1964年发现,由25个叠层含油气储层组成,位于海底真垂直深度5,500至12,000英尺(TVDSS)之间。该油田共钻了26口井,其中11口目前正在生产。油田投产后不久,石油产量达到每天8900桶的峰值,此后一直在下降。投产40多年来,Beta油田仍然是一个相对不成熟、明显欠发达的资产。截至2017年底,该公司仅生产了约5900万桶库存油罐(STB),占其最初预计库存油桶(7.4亿桶)的8%。该油田计划钻两口水平井,以提供额外的排水点,提高油田产量。然而,对计划井的生产预测显示,由于低粘度油的不利流动比和靠近油水界面(OWC),可能会在早期见水和高含水率。为了缓解生产挑战并改善储层扫描,选择了自动流入控制装置(aicd)安装在地面完井上。这些井是在COVID-19大流行期间钻完井的,这给设备可用性和物流带来了额外的挑战,有可能破坏这些井在规定时间内的成功完井。利用详细的工程设计和远程协作,采用创新的改造筛管设计,将ICD防砂筛管转换为气旋式AICD筛管。采用以油藏为中心的工作流程,将整个油藏模型与地面完井相结合,优化了AICD喷嘴的位置。数据的实时解释可以通过随钻测井(LWD)计算孔隙度-渗透率和饱和度,然后用于近乎实时地更新储层模型。采用分段井建模方法和从跟到趾的精细流动分布,利用裸眼随钻测量数据,沿着水平排水孔实时优化AICD喷嘴的位置,帮助AICD的设计和配置。Beta-7和Beta-8井已成功钻井、完井并投产。水平排水管位于距离水库顶部5至10英尺的范围内,与OWC保持至少20英尺的距离。预测结果表明,由于水腿的存在和趾部的高渗透性,水可能从水平线的趾部流入,而不是脚跟。这得益于该区域附近油井的高含水产量。通过全场仿真模型得出的结论,可以对AICD的设计做出明智的决策。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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