Formation of Complex Fracture Networks in the Wolfcamp Shale: Calibrating Model Predictions with Core Measurements from the Hydraulic Fracturing Test Site

Kaustubh Shrivastava, Jongsoo Hwang, M. Sharma
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引用次数: 21

Abstract

Natural fractures are a crucial factor in determining fracture and well spacing in horizontal wells. Their attributes affect the created fracture network and thereby the well producivity and EUR. However, information about the properties of natural fractures is seldom available. In this study, we used a detailed core description from the Hydraulic Fracture Test Site (HFTS), funded by the DOE and an industry consortium, to obtain in-situ natural fracture distribution data. The data was used as input into a hydraulic fracturing simulator to model fracture growth in the presence of natural fractures. The results obtained were then compared with field observations of cores taken from a slant infill well drilled into the hydraulically fractured rock. The core taken from the slant well located adjacent to the hydraulically fractured well is used to characterize the natural fractures (density and orientation). A two-dimensional discrete fracture network (DFN) is generated based on the core description. Nine coring operations are simulated on the created DFN to generate synthetic core descriptions. Attributes (length and density) of natural fractures are calibrated to match the results obtained from simulated coring operations with real core data. Multi-stage hydraulic fracturing simulations are performed using the calibrated DFN, and the results are presented in this paper. The core analysis identified three different types of fractures: hydraulic fractures, intact natural fractures, and natural fractures activated by hydraulic fractures. The density and orientations obtained from the core description provide valuable insights on the complex fracture growth behavior. The number of created fractures (propped and unpropped) far exceeds the number of perforations. This indicates the formation of complex fracture networks likely caused by the interaction of the hydraulic fracture with natural fractures and bed boundaries during propagation. A heel-side bias of fluid and proppant distribution within a stage was also observed. The effect of inter-stage stress shadowing on fracture growth could also be inferred.
Wolfcamp页岩复杂裂缝网络的形成:利用水力压裂试验场的岩心测量校准模型预测
天然裂缝是决定水平井裂缝和井距的关键因素。它们的属性会影响所形成的裂缝网络,从而影响井的产能和EUR。然而,关于天然裂缝性质的信息很少。在这项研究中,我们使用了来自水力压裂试验场(HFTS)的详细岩心描述,该试验场由美国能源部和一个行业联盟资助,以获得现场天然裂缝分布数据。这些数据被用作水力压裂模拟器的输入,以模拟存在天然裂缝时的裂缝生长。然后将获得的结果与从水力压裂岩石中钻取的斜井岩心的现场观察结果进行比较。从靠近水力压裂井的斜井中提取的岩心用于表征天然裂缝(密度和方向)。基于岩心描述生成二维离散裂缝网络(DFN)。在创建的DFN上模拟了9次取心操作,以生成综合岩心描述。对天然裂缝的属性(长度和密度)进行校准,使模拟取心作业的结果与实际岩心数据相匹配。利用标定后的DFN进行了多级水力压裂模拟,并给出了模拟结果。岩心分析确定了三种不同类型的裂缝:水力裂缝、完整天然裂缝和水力裂缝激活的天然裂缝。从岩心描述中获得的密度和方向为复杂的裂缝生长行为提供了有价值的见解。裂缝数量(支撑和未支撑)远远超过射孔数量。这表明复杂裂缝网络的形成可能是由于水力裂缝在扩展过程中与天然裂缝和床层边界的相互作用造成的。还观察到一段内流体和支撑剂分布的跟侧偏置。还可以推断段间应力阴影对裂缝扩展的影响。
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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