水平井水力压裂裂缝扩展诱发垂直邻井光纤应变演化特征

王溯 ,  陈勉 ,  吕嘉昕 ,  郝亚龙 ,  初京义

东北石油大学学报 ›› 2024, Vol. 48 ›› Issue (4) : 100 -110.

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东北石油大学学报 ›› 2024, Vol. 48 ›› Issue (4) : 100 -110. DOI: 10.3969/j.issn.2095-4107.2024.04.008
石油与天然气工程

水平井水力压裂裂缝扩展诱发垂直邻井光纤应变演化特征

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Characteristics of fiber-optic strain evolution in vertical adjacent well induced by hydraulic fracture propagation in horizontal well

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摘要

水力压裂过程中很难准确获取裂缝高度扩展信息,利用分布式光纤可准确评价裂缝扩展信息。采用有限元耦合内聚力单元方法,建立水平井水力压裂裂缝扩展诱发垂直邻井光纤应变的正演模型,进行垂直邻井光纤应变数值模拟,分析光纤应变演化特征;根据压裂施工参数及垂直邻井光纤布设位置,判定水力压裂裂缝的光纤有效监测范围;利用大型真三轴压裂实验与分布式光纤感测设备,进行光纤实时监测水平井水力压裂物理实验。结果表明:裂缝高度扩展诱发光纤应变演化分为应变增强、张应变扩展、应变直线状汇聚及应变弱化4个阶段,光纤应变演化特征表现为中间部分出现张应变汇聚带,两侧出现压应变汇聚带。当水力压裂裂缝在光纤有效监测范围内时,垂直邻井光纤可有效监测裂缝高度扩展情况。垂直邻井的光纤应变演化结果与光纤应变正演模计算结果验证正演模型的正确性。利用裂缝高度扩展诱发垂直邻井光纤应变演化特征可评价裂缝高度扩展状态,为油田压裂设计提供参考。

Abstract

It is difficult to accurately obtain the fracture height expansion information during the fracturing process, and the use of distributed optical fiber can accurately evaluate the fracture expansion information. Based on the finite element coupled cohesive force unit method, construct a forward model of fiber-optic strain induced in vertical adjacent wells due to the propagation of hydraulic fracturing fractures in horizontal wells, carry out numerical simulation of fiber-optic strain in vertical adjacent wells, and analyze the characteristics of fiber-optic strain evolution. Based on the fracturing construction parameters and the position of vertical adjacent well optical fiber deployment, it can be determined whether hydraulic fractures are within the effective monitoring range of the optical fiber. Utilizing large-scale true tri-axial fracturing experiments and distributed optical fiber sensing equipment to conduct real-time monitoring of hydraulic fracturing physical experiments in horizontal wells using optical fibers. The results show that the fiber-optic strain evolution induced by the fracture height expansion is divided into four stages: strain-enhancing, tensile-strain-expanding, strain-linear-converging and strain-weakening, and the fiber-optic strain evolution is characterized by the appearance of tensile strain convergence bands in the middle part and compressive strain convergence bands on both sides. When the fracture is within the effective monitoring range of the deployed fiber optic, the vertical adjacent well fiber optic can effectively monitor the height expansion of fractures. The evolution results of fiber-optic strain in vertical adjacent wells and the verification of the correctness of the forward model by fiber-optic strain forward modeling calculation results. The characteristics of the strain evolution induced by fracture height expansion observed by an adjacent optical fiber can help to evaluate the status of fracture height expansion, providing reference and guidance for oilfield fracturing design.

关键词

水平井 / 水力压裂 / 裂缝扩展 / 垂直邻井 / 光纤应变 / 演化特征 / 分布式光纤 / 裂缝识别 / 裂缝高度

Key words

horizontal well / hydraulic fracturing / fracture propagation / vertical adjacent well / fiber-optic strain / evolutionary characteristics / distributed optical fiber / identification of fracture / fracture height

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王溯,陈勉,吕嘉昕,郝亚龙,初京义. 水平井水力压裂裂缝扩展诱发垂直邻井光纤应变演化特征[J]. 东北石油大学学报, 2024, 48(4): 100-110 DOI:10.3969/j.issn.2095-4107.2024.04.008

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参考文献

[1]

陈勉, 金衍, 卢运虎 . 页岩气开发:岩石力学的机遇与挑战[J]. 中国科学:物理学力学天文学, 2017, 47(11): 6-18.

[2]

CHEN Mian , JIN Yan , LU Yunhu . Shale gas development: opportunities and challenges for rock mechanics[J]. Scientia Sinica (Physica, Mechanica & Astronomica), 2017, 47(11): 6-18.

[3]

陈勉, 葛洪魁, 赵金洲, . 页岩油气高效开发的关键基础理论与挑战[J]. 石油钻探技术, 2015, 43(5): 7-14.

[4]

CHEN Mian , GE Hongkui , ZHAO Jinzhou , et al. The key fundamentals for the efficient exploitation of shale oil and gas and its related challenges[J]. Petroleum Drilling Techniques, 2015, 43(5): 7-14.

[5]

侯冰, 常智, 武安安, . 吉木萨尔凹陷页岩油密切割压裂多簇裂缝竞争扩展模拟[J]. 石油学报, 2022, 43(1): 75-90.

[6]

HOU Bing , CHANG Zhi , WU An'an , et al. Simulation of competitive propagation of multi-fractures on shale oil reservoir multi-clustered fracturing in Jimsar Sag[J]. Acta Petrolei Sinica, 2022, 43(1): 75-90.

[7]

WEI S , JIN Y , KAO J , et al. Reservoir stress evolution and fracture optimization of infill wells during the drilling-fracturing-production process[J]. Acta Petrolei Sinica, 2022, 43(9): 1305-1314.

[8]

CHANG Z , HOU B , DING J H . Competitive propagation simulation of multi-clustered fracturing in a cracked shale oil reservoir[J]. Geomechanics and Geophysics for Geo-Energy and Geo-Resources, 2022, 8(3): 1-19.

[9]

雷群, 翁定为, 熊生春, . 中国石油页岩油储集层改造技术进展及发展方向[J]. 石油勘探与开发, 2021, 48(5): 1035-1042.

[10]

LEI Qun , WENG Dingwei , XIONG Shengchun , et al. Progress and development directions of shale oil reservoir stimulation technology of China National Petroleum Corporation[J]. Petroleum Exploration and Development, 2021, 48(5): 1035-1042.

[11]

CHANG Zhi , HOU Bing . Numerical simulation on fractured shale oil reservoirs multi-cluster fracturing under inter-well and inter-cluster stress interferences[J]. Rock Mechanics and Rock Engineering, 2023, 56(3): 1909-1925.

[12]

HOU B , CHANG Z , FU W , et al. Fracture initiation and propagation in a deep shale gas reservoir subject to an alternating-fluid-injection hydraulic-fracturing treatment[J]. SPE Journal, 2019, 24(4): 1839-1855.

[13]

ZHANG Q , HOU B , LIN B , et al. Integration of discrete fracture reconstruction and dual porosity/dual permeability models for gas production analysis in a deformable fractured shale reservoir[J]. Journal of Natural Gas Science and Engineering, 2021, 93: 104028.

[14]

HOU B , ZHANG R , CHEN M , et al. Investigation on acid fracturing treatment in limestone formation based on true tri-axial experiment[J]. Fuel, 2019, 235: 473-484.

[15]

CIPPOLLA C L , WRIGHT C A . Diagnostic techniques to understand hydraulic fracturing: What Why and How[J]. SPE Production & Facilities, 2002, 17(1): 23-35.

[16]

HOU B , ZHANG Q , LIU X , et al. Integration analysis of 3D fractures network reconstruction and frac hits response in shale wells[J]. Energy, 2022, 260: 124906.

[17]

张国栋, 庄春喜, 黑创 . 东海西湖凹陷探井储层压后缝高评价新方法[J]. 石油钻探技术, 2016, 44(5): 122-126.

[18]

ZHANG Guodong , ZHUANG Chunxi , HEI Chuang . New techniques for fracture height determination in exploration wells drilled in the Xihu Sag, East China Sea[J]. Petroleum Drilling Techniques, 2016, 44(5): 122-126.

[19]

郑路佳, 管闯, 李含阳, . 基于U型卷积神经网络的微地震信号降噪方法[J]. 东北石油大学学报, 2023, 47(5): 111-124.

[20]

ZHENG Lujia , GUAN Chuang , LI Hanyang , et al. Microseismic noise suppression method based on U-Net[J]. Journal of Northeast Petroleum University, 2023, 47(5): 111-124.

[21]

隋微波, 刘荣全, 崔凯 . 水力压裂分布式光纤声波传感监测的应用与研究进展[J]. 中国科学:技术科学, 2021, 51(4): 371-387.

[22]

SUI Weibo , LIU Rongquan , CUI Kai . Application and research progress of distributed optical fiber acoustic sensing monitoring for hydraulic fracturing[J]. Scientia Sinica (Technologica), 2021, 51(4): 371-387.

[23]

尚盈, 王晨, 倪家升 . 分布式光纤传感技术与应用[M].北京:电子工业出版社, 2021: 186.

[24]

SHANG Ying , WANG Chen , NI Jiasheng . Technology and applications of distributed fiber optic sensing[M]. Beijing: Electronic Industry Press, 2021: 186.

[25]

KAVOUSI P , CARR T , WILSON T , et al. Correlating distributed acoustic sensing (DAS) to natural fracture intensity for the Marcellus Shale[C]// SEG International Exposition and 87th Annual Meeting. [S. l.]: Society of Exploration Geophysicists, 2017: 5386-5390.

[26]

MOLENAAR M M , FIDAN E , HILL D . Real-time downhole monitoring of hydraulic fracturing treatments using fibre optic distributed temperature and acoustic sensing[C]// SPE/EAGE European Unconventional Resources Conference and Exhibition. [S.l.]: SPE, 2012: SPE-152981-MS.

[27]

陈铭, 郭天魁, 胥云, . 水平井压裂多裂缝扩展诱发光纤应变演化机理[J]. 石油勘探与开发, 2022, 49(1): 1-11.

[28]

CHEN Ming , GUO Tiankui , XU Yun , et al. Evolution mechanism of optical fiber strain induced by multi-fracture growth during fracturing in horizontal wells[J]. Petroleum Exploration and Development, 2022, 49(1): 1-11.

[29]

ZHANG Z , FANG Z , STEFANI J , et al. Modeling of fiber-optic strain responses to hydraulic fracturing[J]. Geophysics, 2020, 85(6): A45-A50.

[30]

WANG J , TAN Y , RIJKEN P , et al. Observations and modeling of fiber-optics strain on hydraulic fracture height growth in HFTS-2[C]// Unconventional Resources Technology Conference. [S. l.]: URTeC, 2021: 1514-1532.

[31]

CHEN R , ZAGHLOUL M A , YAN A , et al. High resolution monitoring of strain fields in concrete during hydraulic fracturing processes[J]. Optics Express, 2016, 24(4): 3894-3902.

[32]

LEGGET S , REID T , ZHU D , et al. Experimental investigation of low-frequency distributed acoustic strain-sater responses to propagating fracture[J]. SPE Journal, 2022, 27(6): 3814-3828.

[33]

LYU J , HOU B , MIN J , et al. Three-dimensional in-situ stress modeling of heterogeneous reservoirs with local faults[J]. Earth and Environmental Science, 2021, 861: 032071.

[34]

SRINIVASAN A , LIU Y , WU K , et al. Geomechanical modeling of fracture-induced vertical strain measured by distributed fiber-optic strain sensing[J]. SPE Production & Operations, 2023: 1-15.

[35]

ZHANG Q , HOU B , CHANG Z , et al. Experimental study on true triaxial hydraulic fracturing based on distributed fiber-optical monitoring[C]// International Geomechanics Symposium. [S.l.]: ARMA, 2022: ARMA-IGS-2022-209.

[36]

WANG S , CHEN M , CHANG Z , et al. Experimental study on indoor multi-cluster fracturing based on distributed fiber-optical monitoring[C]// International Geomechanics Symposium. [S.l.]: ARMA, 2023: ARMA-IGS-2023-0028.

基金资助

国家自然科学基金项目(52334001)

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