定量风险管理提高微水力压裂应力测试成功率

T. Bérard, A. Gisolf, J. Desroches, Hemant Gurav, N. Chugunov, R. Prioul
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摘要

我们采用了最近引入的一种方法,在西非的一个深水油田完成了可行性评估和压力测试设计。我们首先回顾了之前失败的活动。测试数据与独立地质力学研究的先验知识一起进行了反转,以了解环境条件。基于这一认识,当前作业的成功率(COS)估计为10%,缺少1,000 psi的压力容量达到95%。通过分析风险对地层性质和设计参数的敏感性,我们确定了各种方案来防止这种高但看似可控的测试失败风险。其中,泥浆密度增加1.7 ppg,预计可将COS提高至80%,被认为是最有效的。在10次测试中有4次成功,第二次活动比前一次更成功。然而,这一成功率低于预期。我们颠倒了第二次活动的测试数据,以修正我们对原位条件的理解。我们的主要发现是,对于这种特殊情况,(i)最小水平应力的大小明显高于最初的估计,(ii)最小水平应力和水平应力比似乎是反相关的,(iii) COS对最小水平应力极为敏感。使用第二个活动的数据集解决的条件也解释了第一个活动的负面结果。该案例研究表明:(i)所提出的规划方法能够从一次测试或一系列测试中获取经验,并将其用于下一次测试,并优化地层压力测试的设计,从而提高地层压力测试的成功率;(二)所提出的反演方案允许从成功和不成功的测试中获得洞察力,包括在除最小水平应力以外的地层条件下。
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Quantitative Risk Management Improves the Success Rate of Micro-Hydraulic Fracturing Stress Tests
We applied a recently introduced method to complete a feasibility assessment and design a stress testing campaign in a deep-water field in West Africa. We first reviewed the previous—and unsuccessful—campaign. Test data were inverted together with a priori knowledge from an independent geomechanical study to develop an understanding of the ambient conditions. Based on this understanding, the current campaign's chance of success (COS) was estimated to be 10%, with 1,000 psi of pressure capacity lacking to reach 95%. By analyzing the sensitivity of the risk to formation properties and design parameters, we identified various options to prevent this high, yet seemingly controllable, risk of test failure. Among them, a 1.7-ppg increase of mud density, expected to increase the COS to 80%, was deemed most effective and implemented. With 4 successful tests out of 10, the second campaign was more successful than the previous one. Yet this success rate was lower than anticipated. We inverted the second campaign's test data to revise our understanding of the in situ conditions. Our main findings are that, for this particular case, (i) the magnitude of the minimum horizontal stress was significantly higher than initially thought, (ii) the minimum horizontal stress and the horizontal stress ratio appeared to be anticorrelated, and (iii) the COS was extremely sensitive to the minimum horizontal stress. The conditions solved using the second campaign's dataset also explained the first campaign's negative outcome. This case study demonstrates that (i) the proposed planning method enables return of experience to be captured and leveraged from one test, or one series of tests, to the next, and the design of formation stress tests to be optimized, leading to an improved success rate of formation stress tests; and (ii) the proposed inversion scheme allows insight to be gained from both successful and unsuccessful tests, including in formation conditions other than the minimum horizontal stress.
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