Fiber-Optic Strain Measurements Aid Fracture Characterization

C. Carpenter
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Abstract

This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper URTeC 3864861, “Geomechanics Modeling of Strain-Based Pressure Estimates: Insights From Distributed Fiber-Optic Strain Measurements,” by Wei Ma and Kan Wu, Texas A&M University, and Ge Jin, Colorado School of Mines. The paper has not been peer reviewed. The combination of Rayleigh frequency shift distributed strain sensing (RFS-DSS) and pressure-gauge measurements has been reported recently in field applications. The main objective of the study detailed in the complete paper is to investigate the relationship between strain change and pressure change under various fractured reservoir conditions and provide guidelines for better using this novel strain/pressure relationship to estimate conductive fractures and pressure profiles. With a spatial resolution of 20 cm and a sensitivity of less than 1 με, RFS-DSS can measure mechanical strain changes along the fiber with higher accuracy and sensitivity than low-frequency distributed acoustic sensing measurements. The field applications of RFS-DSS have improved the understanding of near-well and far-field fracture characteristics and the relationship between stimulation and production in unconventional reservoirs. Although some numerical modeling works have been conducted to study the mechanisms of RFS-DSS data sets, the sensitivity, or influencing factors, of the relationship between strain change and pressure change along the fiber are still unclear. In this work, the authors use a coupled geomechanics and fluid-flow simulator to simulate the strain change and pressure change measured along the producing and monitoring wells during both stable production and shut-in periods. A 3D multilayer reservoir model with dimensions of 300×400×55.82 m was created using Permian Basin data sets. The reservoir was discretized into 553×129×5 gridblocks. To ensure accurate simulation of field RFS-DSS measurements, the mesh was refined around the fracture and wellbore. The fracture width was set to be the same as the RFS-DSS spatial resolution (0.2 m), and the grid size was set to 5 m except for the refined region. As shown in Fig. 1, the reservoir had 11 perforation clusters along the producing well and the monitoring well was 65 m away from the producing well. A fiber cable was installed on both wells to measure the RFS-DSS data set. The producing well was operated for 240 days before being shut in for 4 days, followed by a 1-day reopening and then continued production for 1 year. The pressure decline was 30–40 psi during the 1-day stable production period. Note that the moment after producing 239 days was taken as the reference time to calculate the strain change during the 1-day production (239–240 days) and the moment after 240 days as the reference time to calculate the strain change during the shut-in period (240–244 days).
光纤应变测量有助于断裂表征
本文由 JPT 技术编辑 Chris Carpenter 撰写,收录了 URTeC 3864861 号论文 "基于应变的压力估算的地质力学建模:德克萨斯农工大学的马伟(Wei Ma)、吴侃(Kan Wu)和科罗拉多矿业学院的金戈(Ge Jin)撰写。该论文未经同行评审。 瑞利频移分布式应变传感(RFS-DSS)与压力计测量的结合最近在现场应用中有所报道。完整论文中详述的这项研究的主要目的是研究各种裂缝储层条件下应变变化与压力变化之间的关系,并为更好地利用这种新型应变/压力关系估算导电裂缝和压力剖面提供指导。 RFS-DSS 的空间分辨率为 20 厘米,灵敏度小于 1 με,与低频分布式声学传感测量相比,它能以更高的精度和灵敏度测量沿光纤的机械应变变化。RFS-DSS 的现场应用提高了人们对非常规储层近井和远井压裂特征以及刺激与生产之间关系的认识。虽然已经开展了一些数值建模工作来研究 RFS-DSS 数据集的机理,但沿光纤应变变化与压力变化之间关系的敏感性或影响因素仍不清楚。在这项工作中,作者使用地质力学和流体流动耦合模拟器模拟了稳产期和停产期生产井和监测井沿线测得的应变变化和压力变化。 利用二叠纪盆地数据集创建了一个尺寸为 300×400×55.82 米的三维多层储层模型。储层被离散为 553×129×5 个网格块。为确保精确模拟现场 RFS-DSS 测量结果,对裂缝和井筒周围的网格进行了细化。裂缝宽度设置为与 RFS-DSS 空间分辨率相同(0.2 米),除细化区域外,网格大小设置为 5 米。如图 1 所示,储层沿生产井有 11 个射孔群,监测井距离生产井 65 米。两口井上都安装了光缆,用于测量 RFS-DSS 数据集。生产井运行了 240 天,然后关闭了 4 天,接着重新开放了 1 天,然后继续生产了 1 年。在 1 天的稳定生产期间,压力下降了 30-40 psi。请注意,生产 239 天后的时刻作为计算生产 1 天(239-240 天)期间应变变化的参考时间,240 天后的时刻作为计算停产期间(240-244 天)应变变化的参考时间。
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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