首页|水力压裂多裂缝扩展诱发光纤应变演化试验研究

水力压裂多裂缝扩展诱发光纤应变演化试验研究

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为解决光纤监测水力压裂过程中裂缝扩展形态认识不清的难题,提出了一种基于光纤应变监测的水力压裂物理模拟试验方法.将基于光频域反射(OFDR)技术的分布式光纤解调器与大型真三轴压裂物理模拟试验相结合,开展了人造试样及页岩试样水力压裂光纤实时监测物理模拟试验.试验结果表明,基于OFDR的分布式光纤传感技术可以高空间分辨率、高精度监测应变的演化,光纤的应变数据可以清晰地反映裂缝的产生、扩展和闭合.根据试验结果提出了一种基于光纤应变感测的水力压裂裂缝形态判别准则,该准则可以根据光纤应变演化信息判断部分裂缝类别.研究结论可高效地指导分布式光纤数据解释工作,可为光纤压裂监测的现场规模应用提供参考.
Experimental Study on Fiber Strain Evolution Induced by Multi-Fracture Propagation in Hydraulic Fracturing
The propagation morphology of fractures in hydraulic fracturing process with optical fiber monitoring remains unclear.In this regard,a physical simulation test method for hydraulic fracturing based on fiber strain moni-toring was presented.A distributed optical fiber demodulator based on optical frequency domain reflectometer(OFDR)was combined with large-scale true triaxial fracturing physical simulation test to perform physical simulation test of optical fiber real-time monitoring on hydraulic fracturing of artificial and shale samples.The test results show that the distributed optical fiber sensing technology based on OFDR can monitor the evolution of strain with fine spa-tial resolution and high precision,and the strain data of the optical fiber can clearly reflect the initiation,expansion,and closure of fractures.Moreover,a hydraulic fracture morphology discrimination criterion based on fiber strain sensing was presented based on the test results,which can determine the types of some fractures based on the fiber strain evolution information.The research conclusions can efficiently guide the interpretation of on-site distributed fi-ber data,can providing reference for large-scale field application of optical fiber monitoring of fracturing.

hydraulic fracturingfracture identificationdistributed optical fiber monitoringshale reser-voirbedding fracturehigh-angle natural fracturefiber strain

王溯、陈勉、吕嘉昕

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中国石油大学 (北京) 油气资源与探测国家重点实验室

中国石油大学 (北京) 石油工程教育部重点实验室

水力压裂 裂缝识别 分布式光纤监测 页岩储层 层理缝 高角度天然裂缝 光纤应变

国家自然科学基金重点项目

52334001

2024

石油机械
中国石油天然气集团公司装备制造分公司 中国石油学会石油工程专业委员会 江汉机械研究所 江汉石油管理局

石油机械

CSTPCD北大核心
影响因子:0.737
ISSN:1001-4578
年,卷(期):2024.52(8)
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