从垂直和水平断面纤维测量中量化断裂高度:利用 HFTS-2 数据集中的 LF-DAS 测量数据进行综合研究

IF 3.2 3区 工程技术 Q1 ENGINEERING, PETROLEUM
SPE Journal Pub Date : 2024-03-01 DOI:10.2118/219488-pa
Aishwarya Srinivasan, Joseph Mjehovich, K. Wu, G. Jin, Wen Wang, G. Moridis
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引用次数: 0

摘要

了解压裂高度的增长对于优化水力压裂处理和油田开发至关重要。近年来,低频分布式声学传感(LF-DAS)已成为监测水力压裂过程中应变变化的常用工具。来自垂直监测井(VMW)的 LF-DAS 数据可用于确定压裂高度,而来自水平井垂直段的测量数据则有可能捕捉到压裂高度的增长。本研究的目标是:(1) 采用三种方法--(a) 使用水平纤维垂直段测量法;(b) 使用垂直纤维测量法;(c) 使用水平纤维水平段测量法--使用水力压裂试验场 2 (HFTS-2) 数据集确定压裂高度;(2) 证明使用水平纤维垂直段 LF-DAS 测量法确定压裂高度的可靠性。为了使用上述三种方法确定 HFTS-2 数据集的压裂高度,我们利用水平监测井垂直段(VS-HMW)的应变测量数据证明了高度预测的可靠性。首先,我们分析了水平井最跟部(B1H、B2H 和 B4H)刺激期间水平纤维垂直段(B3H)的测量结果。其次,我们分析了在 B1H、B2H 和 B4H 的刺激过程中来自 VMW(B5PH)的测量数据。第三,我们使用地质力学反演算法,从 B1H、B2H 和 B4H 激励期间 B3H 的 LF-DAS 测量水平剖面上获得高度估计值。裂缝高度是根据 LF-DAS 垂直剖面测量中延伸-压缩带的过渡来确定的。我们比较了三种方法得出的高度估计值,发现在我们分析的六对油井中,这三种方法得出的高度估计值是一致的。垂直井 B5PH 的 LF-DAS 测量提供了完整的高度剖面,而垂直剖面的测量则捕捉到了从裂缝上端到水平井着陆深度的裂缝生长情况。通过我们的反演算法获得的裂缝高度估计值代表了所选阶段所有裂缝的平均高度值。这项研究证明了利用水平井垂直段的 LF-DAS 测量来确定裂缝高度增长的潜力,从而避免了钻探 VMW 来获取裂缝高度所需的成本。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Fracture Height Quantification from Vertical and Horizontal Section Fiber Measurements: A Comprehensive Study Using LF-DAS Measurements from HFTS-2 Data Set
Understanding fracture height growth is critical for optimizing hydraulic fracture treatments and field development. In recent years, low-frequency distributed acoustic sensing (LF-DAS) has become a popular tool for monitoring strain changes during hydraulic fracturing. While LF-DAS data from vertical monitoring wells (VMWs) can be used to determine fracture height, measurements from the vertical section of horizontal wells may have the potential to capture fracture height growth. The objectives of this study are (1) to apply three methods—(a) using the vertical section of horizontal fiber measurements, (b) using the vertical fiber measurements, and (c) using the horizontal section of horizontal fiber measurements—to determine the fracture height using the Hydraulic Fracturing Test Site 2 (HFTS-2) data set and (2) to demonstrate the reliability of using LF-DAS measurements from the vertical section of horizontal fibers for fracture height determination. In an effort to determine the fracture height from the HFTS-2 data set using the three methods, we demonstrate the reliability of the height prediction using strain measurements in the vertical section of the horizontal monitoring well (VS-HMW). First, we analyze the measurements from the vertical section of the horizontal fiber (B3H) during the stimulation of the heel-most stages of the horizontal wells (B1H, B2H, and B4H). Second, we analyze the measurements from the VMW (B5PH) during the stimulations of B1H, B2H, and B4H. Third, we use a geomechanical inversion algorithm to obtain height estimates from the horizontal section of the LF-DAS measurements at B3H during B1H, B2H, and B4H stimulations. The fracture height is determined based on the transition of the extension-compression zone in the LF-DAS measurements from the vertical sections. The height estimates obtained using the three methods are compared and found to be consistent in the six well pairs we analyzed. The LF-DAS measurements from the vertical well B5PH provide a complete height profile, while measurements from the vertical section capture fracture growth from the upper tip of the fracture to the landing depth of the horizontal well. The fracture height estimates obtained from our inversion algorithm represent the average height value of all fracture hits at the chosen stage. This study demonstrates the potential to determine fracture height growth using LF-DAS measurements in the vertical section of a horizontal well, thus avoiding the cost associated with drilling VMWs to obtain fracture heights.
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来源期刊
SPE Journal
SPE Journal 工程技术-工程:石油
CiteScore
7.20
自引率
11.10%
发文量
229
审稿时长
4.5 months
期刊介绍: Covers theories and emerging concepts spanning all aspects of engineering for oil and gas exploration and production, including reservoir characterization, multiphase flow, drilling dynamics, well architecture, gas well deliverability, numerical simulation, enhanced oil recovery, CO2 sequestration, and benchmarking and performance indicators.
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