Data-Driven Decision-Making Strategy for Thermal Well Completion

H. Izadi, Morteza Roostaei, Mahdi Mahmoudi, Giuseppe Rosi, J. Stevenson, Aubrey Tuttle, Colby Sutton, R. Mirzavand, J. Leung, Vahidoddin Fattahpour
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引用次数: 1

Abstract

Various wellbore completion strategies have been developed for thermal wells in Western Canada. The idea in this paper is estimating the improvement of oil production and steam injection if flow control devices (FCDs) will be installed for the next wells to be drilled, or if FCDs were installed at a particular well-pad that has not yet been completed with any FCDs. The approach is based on labeled real data for 68 well-pads from seven major thermal projects in Western Canada. Three phases make up the paper's methodology. The first phase compares wells with and without FCDs to evaluate the performance of the FCDs based on normalized oil production and cumulative steam oil ratio (cSOR). The second phase involves clustering well-pads using an unsupervised incremental-dynamic algorithm. An estimation of FCD contribution to enhancing oil production and cSOR is also performed for test well-pads based on their most similar cluster. In the third phase, cross-validation is employed to ensure that the estimation is trustworthy, and that the procedure is generalizable. To evaluate the performance of FCDs, a reliable comparison was made using normalized oil production and cSOR. Based on our analysis from October 2002 to March 2022, successful FCD deployment resulted 42% more normalized oil and a 37% reduction in cSOR. Among these, liner deployed (LD) FCDs increased oil production by 44% while decreasing cSOR by 58%. Although tubing deployed (TD) FCDs are installed in problematic wells, they produced 40% more oil while decreasing cSOR by 21% in successful cases. Successful inflow control devices (ICDs) increased oil production by 40% while lowering cSOR by 45%. Successful outflow control devices (OCDs) increased oil production by 82% while reducing cSOR by 22%. The clustering algorithm separates the database into four clusters that will be utilized in the estimating phase. In the estimation phase, ten well-pads (15% of the database) are presumed to be new well-pads to be drilled (test data). Based on the estimation results, the root mean square errors (RMSEs) for FCDs contribution to enhancing oil production and cSOR for the test well-pads are 12%. Cross-validation was also performed to assess the approach's predictability for new data, to verify that our technique is generalizable. The findings indicate that FCDs might result in lower capital expenditures (CapEx) and greenhouse gas (GHG) emissions intensity for SAGD well-pad developments, allowing them to reduce emissions. The conclusions of this research will aid production engineers in their knowledge of relative production performance. The findings may be used to examine paradigm shifts in the development of heavy oil deposits as technology advances while keeping economic constraints in mind.
数据驱动的热完井决策策略
针对加拿大西部的热井,已经开发了多种完井策略。本文的想法是,如果在下一口井中安装流量控制装置(fcd),或者将fcd安装在尚未使用任何fcd完成的特定井垫上,则估计产量和注汽量的改善情况。该方法基于加拿大西部7个主要地热项目的68个井台的标记真实数据。本文的方法论分为三个阶段。第一阶段比较有fcd和没有fcd的井,根据标准化产油量和累积蒸汽油比(cSOR)来评估fcd的性能。第二阶段涉及使用无监督增量动态算法对井台进行聚类。根据测试井台最相似的簇,对FCD对提高产油量和cSOR的贡献进行了估计。在第三阶段,使用交叉验证来确保估计是可信的,并且过程是可推广的。为了评估FCDs的性能,使用标准化产油量和cSOR进行了可靠的比较。根据我们从2002年10月到2022年3月的分析,FCD的成功部署使标准化产油量增加了42%,减少了37%的cSOR。其中,尾管fcd增产44%,cSOR降低58%。尽管在问题井中安装了油管下入(TD) fcd,但在成功的井中,它们的产油量增加了40%,而cSOR降低了21%。成功的流入控制装置(icd)提高了40%的产油量,同时降低了45%的cSOR。成功的流出控制装置(ocd)将产油量提高了82%,同时将cSOR降低了22%。聚类算法将数据库分成四个将在估计阶段使用的聚类。在估算阶段,假定10个井台(占数据库的15%)是待钻的新井台(测试数据)。根据估计结果,FCDs对测试井台增产和cSOR贡献的均方根误差(rmse)为12%。还进行了交叉验证,以评估该方法对新数据的可预测性,以验证我们的技术是可推广的。研究结果表明,fcd可能会降低SAGD井台开发的资本支出(CapEx)和温室气体(GHG)排放强度,从而减少排放。本研究的结论将有助于生产工程师在他们的相关生产性能的知识。随着技术的进步,同时考虑到经济的限制,这些发现可以用来检验稠油油藏开发中的范式转变。
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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