Validation of the Utility of the Contrast-Agent-Assisted Electromagnetic Tomography Method for Precise Imaging of a Hydraulically Induced Fracture Network

Mohsen Ahmadian, D. LaBrecque, Q. Liu, A. Kleinhammes, P. Doyle, Yuan Fang, G PaineJeffrey, Costard Lucie
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引用次数: 6

Abstract

Characterizing hydraulically induced fractures—height, length, orientation, and shape—is key to understanding reservoir performance. Our previous work has focused on the comparison of the state-of-the-art geophysical techniques currently used in hydraulic fracture imaging (microseismicity, tracer, tiltmeter, and distributed acoustic and temperature sensors) to perform a comprehensive set of electromagnetically active proppant (EAP)–assisted tomography methods (LaBrecque et al., 2016; Ahmadian et al., 2018). In our latest study, we conducted a field pilot at The University of Texas at Austin Bureau of Economic Geology's Devine Test Site, located approximately 50 miles southwest of San Antonio, Texas. Following hydraulic fracturing with EAP, we detected a measurable electromagnetic (EM) fracture anomaly at a depth of 175 ft (~53 m) by use of a set of four PVC-cased wells equipped with electrode arrays for single hole, hole-to-surface, and cross-hole electrical resistivity tomography. Because of relatively low overburden pressure, and as designed, fractures grew horizontally and appear nonaxisymmetric about the center injection well (fracture image looks like a human foot). This design allowed us to verify our results with drilling and logging of eight vertical wells. In addition, we cored two wells, and these samples further corroborated the presence of EAP proppants at the predicted depth. Together, these results conclusively corroborate the accuracy of our EM inversion models to within 5 ft of the physical edge of the EAP-filled fracture anomaly. We are currently using results from our ongoing geophysical surveys to refine and verify the efficiency of forward and inverse EM modeling codes for open-borehole and through steel casing scenarios. This paper describes the ground-truth validation of our model predictions, as well as the future direction of our research.
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验证造影剂辅助电磁层析成像方法在水力诱发裂缝网络精确成像中的应用
表征水力裂缝的高度、长度、方向和形状是了解储层动态的关键。我们之前的工作主要集中在比较目前用于水力压裂成像的最先进的地球物理技术(微震活动、示踪剂、倾斜仪、分布式声学和温度传感器),以执行一套全面的电磁活性支撑剂(EAP)辅助断层扫描方法(LaBrecque等人,2016;Ahmadian et al., 2018)。在我们最新的研究中,我们在德克萨斯大学奥斯汀经济地质局的Devine试验场进行了现场试验,该试验场位于德克萨斯州圣安东尼奥西南约50英里处。在采用EAP进行水力压裂后,我们在175英尺(~53米)的深度检测到一个可测量的电磁裂缝异常,使用了四口pvc套管井,井内配备了单孔、井间和井间电阻率层析成像的电极阵列。由于覆盖层压力相对较低,并且按照设计,裂缝水平生长,并且在中心注入井周围呈现非轴对称(裂缝图像看起来像人的脚)。该设计使我们能够通过8口直井的钻井和测井来验证我们的结果。此外,我们对两口井进行了取心,这些样品进一步证实了EAP支撑剂在预测深度的存在。总之,这些结果最终证实了我们的电磁反演模型在eap填充裂缝异常物理边缘5英尺范围内的准确性。目前,我们正在使用正在进行的地球物理调查结果来完善和验证裸眼井和钢制套管场景的正反演电磁建模代码的效率。本文描述了我们模型预测的真值验证,以及我们未来的研究方向。
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