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Automated Procedure for Quantifying ISIP and Friction Losses from Stage by Stage Hydraulic Fracture Treatment Falloff Data

机译:通过阶段液压骨折处理衰减数据从阶段定量索引和摩擦损失的自动化程序

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While diagnostic fracture injection tests(DFIT)data is relatively rare,most hydraulic fracture treatment stages in multiple transverse fracture horizontal wells(MTFHWs)follow pressure and rate data during pumping with several minutes of pressure falloff data after the end of pumping.Recent papers have shown value in applying analysis developed for DFIT data to hydraulic fracture treatment falloff(HFTF)data.As is often the case with routinely acquired operational data,the time required for analyzing HFTF datasets for each of the treatment stages in a long horizontal well may be prohibitive.This paper offers an automated analysis procedure that starts from standard treatment pressure and rate data and produces estimates for wellbore and perforation friction loss,near wellbore tortuosity friction loss,and the instantaneous shut in pressure(ISIP).Steps in the automated procedure include isolating the HFTF data from the rest of the hydraulic fracture treatment data(which is typically subject to hydraulic hammer),applying an optimized low-pass filter(LPF),and computing the friction and ISIP estimates by automating a previously published graphic procedure.We employ the automated analysis on field data that was previously analyzed by hand.Then we compare and contrast between the two analyses.The comparison between manual and automatically analyzed fracture treatment falloffs demonstrates that the automated procedure reproduces the previous analyses except in a few cases that pose special challenges to any analysis.The new field dataset results demonstrate the approach is practical for field application.Variations in friction loss and ISIP estimates along MTFHWs provide data useful for well and pad completion design decisions related to perforating strategies,and fracture and well spacing.
机译:虽然诊断骨折注射测试(DFIT)数据相对罕见,但多个横向骨折水平井(MTFHW)的大多数液压断裂处理阶段在泵送后泵送后的几分钟后泵送压力和速率数据。所示的价值在为DFIT数据开发的应用分析,液压骨折处理衰退(HFTF)数据。通常是常规获取的操作数据的情况,分析HFFF数据集在长水平井中分析HFTF数据集所需的时间禁止。本文提供自动分析程序,从标准处理压力和速率数据开始,并产生井筒和穿孔摩擦损失的估算,靠近井筒曲折摩擦损失,并且自动化程序中的瞬时关闭(ISIP).steps包括将HFFF数据与液压骨折处理数据的其余部分隔离(通常是子公司T到液压锤),应用优化的低通滤波器(LPF),并通过自动化先前发布的图形程序来计算摩擦和ISIP估计。我们采用先前通过手工分析的现场数据的自动分析。我们比较两种分析之间的对比度。手动和自动分析的骨折处理衰退之间的比较表明,自动化程序在几个情况下对任何分析构成了特殊挑战的少数案例中,自动化程序再现了前一个分析。新的实地数据集结果证明了这种方法是实用的现场应用。摩擦损失和沿MTFHW的估计的Variations提供了与穿孔策略的井和垫完成决策有用的数据,以及骨折和井间距。

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