Citation: | HE Le, ZHU Juhui, LIANG Xing, et al. Evaluation of multi-cluster fracturing effects in horizontal shale gas wells based on optic fiber monitoring outside casing [J]. Petroleum Drilling Techniques, 2024, 52(4):110-117. DOI: 10.11911/syztjs.2024075 |
In order to analyze the factors affecting multi-cluster fluid injection during multi-stage fracturing of shale gas horizontal wells, real-time monitoring of the fracturing process was carried out using distributed optic fibers outside the casing. A joint analysis of typical fracturing events and distributed optic fiber acoustic sensing (DAS) signals during multi-stage multi-cluster fracturing process was carried out based on the real-time monitoring data of optic fiber during fracturing of horizontal shale well in the Longmaxi Formation of Zhaotong Shale Gas Demonstration Zone, combined with fracturing design and operation data. The analysis finds that at the initial stage of fracturing, the perforation is not perfect, and near well distortion is serious and easy to trigger strong DAS signals. With the perforation erosion, the DAS signal weakens. There is a random dynamic change in the flow distribution between multiple clusters, which affects the uniformity of multi-cluster fluid injection. The number of effective clusters with fluid injection is correlated with operation pressure. Precautions such as temporary blocking, and pump stopping and restarting can intervene in the flow distribution between clusters, and the temporary blocking effect is influenced by multiple factors such as real-time state of fractures and temporary blocking parameters. There are two optic fiber DAS signal response modes for inter-segment leakage, which can reveal the leakage paths inside the casing and cement sheath. The optic fiber monitoring method and comprehensive analysis method have important reference values for an in-depth understanding of the mechanism of multi-stage multi-cluster fracturing of horizontal wells, guiding fracturing scheme optimization and real-time fracturing adjustment.
[1] |
梁兴,王松,刘成,等. 光纤传感技术在昭通山地页岩气勘探开发实践中的应用进展[J]. 石油物探,2022,61(1):32–40.
LIANG Xing, WANG Song, LIU Cheng, et al. Progress of the application of optical fiber sensing technology in shale gas exploration and development practice in the Zhaotong mountain area[J]. Geophysical Prospecting for Petroleum, 2022, 61(1): 32–40.
|
[2] |
李海涛,罗红文,向雨行,等. DTS/DAS技术在水平井压裂监测中的应用现状与展望[J]. 新疆石油天然气,2021,17(4):62–73.
LI Haitao, LUO Hongwen, XIANG Yuxing, et al. The application status and prospect of DTS/DAS in fracturing monitoring of horizontal wells[J]. Xinjiang Oil & Gas, 2021, 17(4): 62–73.
|
[3] |
HOLLEY E H, KALIA N. Fiber-optic monitoring: stimulation results from unconventional reservoirs[R]. URTEC 2151906, 2015.
|
[4] |
HOLLEY E H, MOLENAAR M M, FIDAN E, et al. Interpreting uncemented multistage hydraulic-fracturing completion effectiveness by use of fiber-optic DTS injection data[J]. SPE Drilling & Completion, 2013, 28(3): 243–253.
|
[5] |
SOOKPRASONG P A, HURT R S, GILL C C, et al. Fiber optic DAS and DTS in multicluster, multistage horizontal well fracturing: interpreting hydraulic fracture initiation and propagation through diagnostics[R]. SPE 170723, 2014.
|
[6] |
SOMANCHI K, O'BRIEN C, HUCKABEE P, et al. Insights and observations into limited entry perforation dynamics from fiber-optic diagnostics[R]. URTEC 2458389, 2016.
|
[7] |
JACOBS T. Hess research project points to fewer wells and passive producers that “harvest” offset fractures[J]. Journal of Petroleum Technology, 2022, 74(4): 32–39.
|
[8] |
吴宝成,王佳,张景臣,等. 管外光纤监测压裂单簇裂缝延伸强度现场试验[J]. 钻采工艺,2022,45(2):84–88.
WU Baocheng, WANG Jia, ZHANG Jingchen, et al. Field test of single cluster fracture extension strength monitoring by optical fiber outside casing[J]. Drilling & Production Technology, 2022, 45(2): 84–88.
|
[9] |
吕振虎,吕蓓,罗垚,等. 基于光纤监测的段内多簇暂堵方案优化[J]. 石油钻探技术,2024,52(1):114–121.
LYU Zhenhu, LYU Bei, LUO Yao, et al. Optimization of in-stage multi-cluster temporary plugging scheme based on optical fiber monitoring[J]. Petroleum Drilling Techniques, 2024, 52(1): 114–121.
|
[10] |
桑宇,隋微波,曾波,等. 深层天然裂缝性页岩储层水力压裂光纤监测远场应变分析[J]. 天然气工业,2024,44(5):56–67.
SANG Yu, SUI Weibo, ZENG Bo, et al. Far-field strain analysis for fiber optic monitoring of hydraulic fracturing in a deep naturally fractured shale reservoir[J]. Natural Gas Industry, 2024, 44(5): 56–67.
|
[11] |
郭建春,赵峰,詹立,等. 四川盆地页岩气储层暂堵转向压裂技术进展及发展建议[J]. 石油钻探技术,2023,51(4):170–183.
GUO Jianchun, ZHAO Feng, ZHAN Li, et al. Recent advances and development suggestions of temporary plugging and diverting fracturing technology for shale gas reservoirs in the Sichuan Basin[J]. Petroleum Drilling Techniques, 2023, 51(4): 170–183.
|
[12] |
邹龙庆,何怀银,杨亚东,等. 页岩气水平井暂堵球运移特性数值模拟研究[J]. 石油钻探技术,2023,51(5):156–166.
ZOU Longqing, HE Huaiyin, YANG Yadong, et al. Numerical simulation study on the migration characteristics of ball sealers in horizontal shale gas wells[J]. Petroleum Drilling Techniques, 2023, 51(5): 156–166.
|
[13] |
蒋廷学,王海涛,赵金洲,等. 深层页岩气水平井多级双暂堵压裂关键工艺优化[J]. 天然气工业,2023,43(11):100–108.
JIANG Tingxue, WANG Haitao, ZHAO Jinzhou, et al. Optimized multi-stage dual temporary plugging fracturing technology in deep shale gas horizontal wells[J]. Natural Gas Industry, 2023, 43(11): 100–108.
|
[14] |
盛茂,张家麟,张彦军,等. 基于数据驱动的水平井暂堵压裂有效性评价新模型[J]. 天然气工业,2023,43(9):132–140.
SHENG Mao, ZHANG Jialin, ZHANG Yanjun, et al. A new data-driven effectiveness evaluation model of temporary plugging fracturing for horizontal wells[J]. Natural Gas Industry, 2023, 43(9): 132–140.
|
[15] |
胡东风,任岚,李真祥,等. 深层超深层页岩气水平井缝口暂堵压裂的裂缝调控模拟[J]. 天然气工业,2022,42(2):50–58.
HU Dongfeng, REN Lan, LI Zhenxiang, et al. Simulation of fracture control during fracture-opening temporary plugging fracturing of deep/ultra deep shale-gas horizontal wells[J]. Natural Gas Industry, 2022, 42(2): 50–58.
|
[16] |
蔡海文,叶青,王照勇,等. 基于相干瑞利散射的分布式光纤声波传感技术[J]. 激光与光电子学进展,2020,57(5):050001.
CAI Haiwen, YE Qing, WANG Zhaoyong, et al. Distributed optical fiber acoustic sensing technology based on coherent Rayleigh scattering[J]. Laser & Optoelectronics Progress, 2020, 57(5): 050001.
|
[17] |
隋微波,温长云,孙文常,等. 水力压裂分布式光纤传感联合监测技术研究进展[J]. 天然气工业,2023,43(2):87–103.
SUI Weibo, WEN Changyun, SUN Wenchang, et al. Joint application of distributed optical fiber sensing technologies for hydraulic fracturing monitoring[J]. Natural Gas Industry, 2023, 43(2): 87–103.
|
[18] |
SOOKPRASONG P A, HURT R S, GILL C C. Downhole monitoring of multicluster, multistage horizontal well fracturing with fiber optic distributed acoustic sensing (DAS) and distributed temperature sensing (DTS)[R]. IPTC 17972, 2014.
|
[19] |
PAKHOTINA I, SAKAIDA S, ZHU Ding, et al. Diagnosing multistage fracture treatments with distributed fiber-optic sensors[J]. SPE Production & Operations, 2020, 35(4): 852–864.
|
[20] |
周彤,张士诚,陈铭,等. 水平井多簇压裂裂缝的竞争扩展与控制[J]. 中国科学(技术科学),2019,49(4):469–478.
ZHOU Tong, ZHANG Shicheng, CHEN Ming, et al. Competitive propagation of multi-fractures and their control on multi-clustered fracturing of horizontal wells[J]. SCIENTIA SINICA Technologica, 2019, 49(4): 469–478.
|
[21] |
李勇明,陈曦宇,赵金洲,等. 射孔孔眼磨蚀对分段压裂裂缝扩展的影响[J]. 天然气工业,2017,37(7):52–59.
LI Yongming, CHEN Xiyu, ZHAO Jinzhou, et al. Influence of perforation erosion on multiple growing hydraulic fractures in multistage fracturing[J]. Natural Gas Industry, 2017, 37(7): 52–59.
|
[22] |
SNIDER P, BAUMGARTNER S, MAYERHOFER M, et al. Execution and learnings from the first two surface tests replicating unconventional fracturing and proppant transport[R]. SPE 209141, 2022.
|
[23] |
MONDAL S, GARUSINGHE A, ZIMAN S, et al. Efficiency and effectiveness-a fine balance: an integrated system to improve decisions in real-time hydraulic fracturing operations[R]. SPE 209127, 2022.
|
[24] |
RIBEIRO L, ZUROVEC W. Practical design considerations for perforation and stimulation strategy based on two permanent fiber optics tests in the Williston Basin[R]. SPE 209183, 2022.
|
1. |
李中, 郭永宾, 管申, 刘智勤, 彭巍. 涠洲K油田复杂工况旋转尾管固井技术. 钻井液与完井液. 2019(01): 87-92 .
![]() |