Advances in research on the distributed optical fiber acoustic sensing system in the field of geophysical exploration
ZHOU Shao-Yu1(), BAO Qian-Zong1,2,3(), SHI Wei4,5
1. School of Geological Engineering and Surveying, Chang’an University, Xi’an 710054,China 2.Key Laboratory of Mine Geological Disaster Mechanism and Prevention, Ministry of Natural Resources, Xi’an 710054,China 3. National Engineering Research Center for Offshore Oil and Gas Exploration, Xi’an 710054,China 4. Shaanxi Engineering Technology Research Center for Urban Geology and Underground Space, Xi’an 710068, China 5. Shaanxi Hydrogeolog Engineering Geology and Environment Geology Survey Center, Xi’an 710068, China
Distributed acoustic sensing (DAS) technology, one of the most advanced sound field detection technologies, can achieve distributed, long-distance, and high-precision real-time detection of the ambient vibration and sound field information interacting with optical fiber. The optical fiber exploration system of the DAS technology solves the problems of high cost and deployment difficulty of conventional geophones in complex geological environments. In recent years, the DAS technology has experienced rapid development, especially in monitoring application scenarios that require long-term and large-scale deployment. However, its systematic understanding is insufficient due to divergent research results. To further understand the research advances of the DAS technology in geophysical exploration for more effective subsequent research, this study systematically classified and summarized the development history of the DAS technology and its recent research results in geophysical exploration based on the oil and gas, marine, and environmental engineering application scenarios through literature research. This study focused on the development process of the DAS technology in different directions, the research advances in data processing, and relevant literature with specific results. Finally, this study generalized the development trend and urgent problems of the DAS acquisition system, analyzing the DAS development prospect.
Shao-Yu ZHOU,Qian-Zong BAO,Wei SHI. Advances in research on the distributed optical fiber acoustic sensing system in the field of geophysical exploration[J]. Geophysical and Geochemical Exploration,
2024, 48(2): 411-427.
Power spectral densities (PSD) of the same signals of the DAS measurement and the hydrophone comparing with the ambient noise between the air-gun shots[65]
Xu W L, Ren J G, Zhang J F. Frontiers and development strategies of experimental geoscience[J]. Earth Science, 2022, 47(8):2667-2678.
[2]
Olofsson B, Martinez A. Validation of DAS data integrity against standard geophones—DAS field test at Aquistore site[J]. The Leading Edge, 2017, 36(12):981-986.
[3]
Carpenter C. Downhole sand-ingress detection with fiber-optic distributed acoustic sensors[J]. Journal of Petroleum Technology, 2017, 69(10):99-101.
[4]
Chen D, Liu Q W, He Z Y. High-fidelity distributed fiber-optic acoustic sensor with fading noise suppressed and sub-meter spatial resolution[J]. Optics Express, 2018, 26(13):16138-16146.
[5]
Spikes K T, Tisato N, Hess T E, et al. Comparison of geophone and surface-deployed distributed acoustic sensing seismic data[J]. Geophysics, 2019, 84(2):A25-A29.
Ma G Q, Cao D P, Yin J J, et al. Numerical simulation of detecting seismic signals in DAS wells[J]. Oil Geophysical Prospecting, 2020, 55(2):311-320,229-230.
[7]
韩青云. 基于稀疏表示的DAS数据降噪方法研究[D]. 成都: 电子科技大学, 2019.
[7]
Han Q Y. Research on denoising method of DAS data based on sparse representation[D]. Chengdu: University of Electronic Science and Technology of China, 2019.
[8]
Dou S, Ajo-Franklin J, Daley T, et al. Surface orbital vibrator (SOV) and fiber-optic DAS:Field demonstration of economical,continuous-land seismic time-lapse monitoring from the Australian CO2CRC Otway site[C]// SEG Technical Program Expanded Abstracts 2016.Dallas,Texas.Society of Exploration Geophysicists, 2016:5552-5556.
Sun Y M, Zhao L, Luo F, et al. Principles and application research status of distributed optical fiber sensor[J]. Journal of Disaster Prevention and Reduction, 2022, 38(1):67-73.
[10]
Huang W Z, Feng S W, Zhang W T, et al. DFB fiber laser static strain sensor based on beat frequency interrogation with a reference fiber laser locked to a FBG resonator[J]. Optics Express, 2016, 24(11):12321-12329.
[11]
Ma T H, Tang C A, Tang L X, et al. Rockburst characteristics and microseismic monitoring of deep-buried tunnels for Jinping II Hydropower Station[J]. Tunnelling and Underground Space Technology, 2015, 49:345-368.
Zhu P, Liu Y, Liu J T, et al. Application of optical fiber technology in seismic exploration[J]. Equipment for Geophysical Prospecting, 2013, 23(1):29-32.
[13]
Zhang X F, Lyu Z H, Meng X W, et al. Application of optical fiber sensing real-time monitoring technology using in Ripley landslide[J]. Applied Mechanics and Materials, 2014, 610:199-204.
Gou L, Zhang S H, Yu G, et al. Optical sensing promotes intelligence,innovation and development of reservoir geophysical technology[J]. Petroleum Science and Technology Forum, 2021, 40(5):55-64.
[15]
郑骊昂. 大气偏振光学模拟实验装置设计与介质特性研究[D]. 合肥: 合肥工业大学, 2016.
[15]
Zheng L A. The design of simulation experiment device for researching on polarization characteristics of light[D]. Hefei: Hefei University of Technology, 2016.
Wang Z Y, Lin B T, Abeib Abulmiti.Application of DAS and DTS optical fiber testing technology in horizontal wells[J]. Well Logging Technology, 2022, 46(4):478-486.
Zhang H, Lyu Q T, Zhang Y, et al. Recent advances in geoscience using Fiber Bragg Grating(FBG)and Distrusted Acoustic Sensing(DAS)and the road ahead[J]. Progress in Geophysics, 2023, 38(3):1416-1454.
Cai H W, Ye Q, Wang Z Y, et al. Progress in research of distributed fiber acoustic sensing techniques[J]. Journal of Applied Sciences, 2018, 36(1):41-58.
Xing T. Research on multi-scale feature progressive fusion algorithm and its application in DAS noise suppression[D]. Changchun: Jilin University, 2022.
Song Z H, Zeng X F, Xu S H, et al. Distributed Acoustic Sensing for imaging shallow structureⅠ:Active source survey[J]. Chinese Journal of Geophysics, 2020, 63(2):532-540.
Lin R B, Zeng X F, Song Z H, et al. Distributed acoustic sensing for imaging shallow structure Ⅱ:Ambient noise tomography[J]. Chinese Journal of Geophysics, 2020, 63(4):1622-1629.
Lei Y H, Yin F, Hong H T, et al. Shallow structure imaging using higher-mode Rayleigh waves based on F-J transform in DAS observation[J]. Chinese Journal of Geophysics, 2021, 64(12):4280-4291.
Lin R B, Bao F, Xie J, et al. The influence of cable installment on DAS active and passive source records[J]. Chinese Journal of Geophysics, 2022, 65(10):4087-4098.
Yin J J, Yin C F, Sun S R, et al. Simulation experiment of distributed fiber acoustic sensing system based on Simulink[J]. Experimental Technology and Management, 2022, 39(9):90-96.
[27]
朱光明. 垂直地震剖面法[J]. 石油地球物理勘探, 1980, 15(S2):1-23.
[27]
Zhu G M. Vertical seismic profiling method[J]. Oil Geophysical Prospecting, 1980, 15(S2):1-23.
[28]
Madsen K N, Dümmong S, Parker T, et al. Simultaneous Multiwell VSP using Distributed Acoustic Sensing[C]// Proceedings "Borehole Geophysics Workshop II.April 21-24,2013. St Julian’s,Malta.Netherlands: EAGE Publications BV,2013.
Yan Z H, Luo D H, Tang S L, et al. Study on down-hole multiphase flow measurement system based on fiber distributed acoustic sense[J]. Well Testing, 2017, 26(2):9-12,75.
[30]
Naldrett G, Parker T, Shatalin S, et al. High-resolution Carina distributed acoustic fibreoptic sensor for permanent reservoir monitoring and extending the reach into subsea fields[J]. First Break, 2020, 38(2):71-6.
[31]
Mateeva A, Lopez J, Mestayer J, et al. Distributed acoustic sensing for reservoir monitoring with VSP[J]. The Leading Edge, 2013, 32(10):1278-1283.
[32]
Sidenko E, Tertyshnikov K, Bona A, et al. DAS-VSP interferometric imaging:CO2CRC Otway Project feasibility study[J]. Interpretation, 2021, 9(4):1-12.
[33]
Yu G, Cai Z D, Chen Y Z, et al. Borehole seismic survey using multimode optical fibers in a hybrid wireline[J]. Measurement, 2018, 125:694-703.
Zhao F, Wu P, Wang Y, et al. Research and application of the DAS-VSP acquisition and processing method[J]. Geophysical Prospecting for Petroleum, 2022, 61(1):100-111.
[36]
Guo Y L, Peng S P, Du W F, et al. Denoising and wavefield separation method for DAS VSP via deep learning[J]. Journal of Applied Geophysics, 2023, 210:104946.
Zhou X H, Chen W, Yang J F, et al. Application review of DAS technology in oil and gas geophysics[J]. Progress in Geophysics, 2021, 36(1):338-350.
[38]
Johannessen K, Drakeley B, Farhadiroushan M. Distributed acoustic sensing:A new way of listening to your well/reservoir[C]// SPE,Utrecht,The Netherlands,March 27-29, 2012.
[39]
van der Horst J, den Boer H, in 't Panhuis P, et al. Fiber optic sensing for improved wellbore production surveillance[C]// European Association of Geoscientists & Engineers. IPTC 2014:International Petroleum Technology Conference.Doha,Qatar. 2014.
[40]
Carpenter C. Distributed acoustic sensing for downhole production and injection profiling[J]. Journal of Petroleum Technology, 2016, 68(3):78-79.
[41]
Liang X, Mei J, Zhang C, et al. Fluid production profile monitoring of marine shale reservoir using fiber sensing within the coiled tubing[C]// First EAGE Workshop on Fibre Optic Sensing.Amsterdam,the Netherlands,European Association of Geoscientists & Engineers, 2020:1-4.
Ma X M, Li L C, Zhang Y S. Research on distributed fiber optic production monitoring technology for oil and gas wells[C]// 2021 IPPTC International Petroleum and Petrochemical Technology Conference Proceedings,Beijing, 2021:121-129.
Li Y P, Liu X G, Wang D X, et al. DAS joint VSP and 3D surface seismic:A case study on HX3D in the Changqing oilfield[J]. Geophysical Prospecting for Petroleum, 2022, 61(1):112-121.
Jiang T W, Wang S J, Zhu S B, et al. Fault stability analysis and evaluation by long-term micro-seismic monitoring with distributed optical fiber acoustic sensing system in a gas field West China[J]. Progress in Geophysics, 2022, 37(5):1960-1968.
Ni J S, Liu T G, Shang Y, et al. Distributed fiber-optic acoustic seismic geophone for petroleum geology exploration[J]. Laser & Optoelectronics Progress, 2022, 59(3):0306006.
[46]
Gao J Z, Jiang Z D, Zhao Y L, et al. Full distributed fiber optical sensor for intrusion detection in application to buried pipelines[J]. Chinese Optics Letters, 2005, 3(11):633-635.
Qu Z G, Jin S J, Zhou Y. Study on the distributed optical fiber pre-warning system for the safety of oil and gas pipeline[J]. Piezoelectrics & Acoustooptics, 2006, 28(6):640-642.
Tu Q C, Wei B, Zhang Z Y, et al. OTDR-type distributed optical fiber sensors and application of oil and gas pipelines online monitoring[J]. Pipeline Technique and Equipment, 2015(3):28-31.
[49]
Stajanca P, Chruscicki S, Homann T, et al. Detection of leak-induced pipeline vibrations using fiber-optic distributed acoustic sensing[J]. Sensors, 2018, 18(9):2841.
[50]
Peng Z Q, Jian J N, Wen H Q, et al. Distributed fiber sensor and machine learning data analytics for pipeline protection against extrinsic intrusions and intrinsic corrosions[J]. Optics Express, 2020, 28(19):27277-27292.
[51]
Jiang J P, Liu F, Wang H H, et al. Lateral positioning of vibration source for underground pipeline monitoring based on ultra-weak fiber Bragg grating sensing array[J]. Measurement, 2021, 172:108892.
[52]
Li T D, Fan C Z, Li H, et al. Nonintrusive distributed flow rate sensing system based on flow-induced vibrations detection[J]. IEEE Transactions on Instrumentation Measurement, 2021, 70:3036684.
Wang Z H, Jing H. Analysis of pipeline leakage monitoring index based on distributed optical fiber acoustic sensing system[J]. China Instrumentation, 2021(8):61-65.
Li T D. Research on pipeline velocity and leakage monitoring technology based on optical fiber distributed acoustic sensing[D]. Wuhan: Huazhong University of Science and Technology, 2021.
Zhang L, Zhou W. Design and experimental study of distributed optical fiber acoustic leakage detection system for gathering and transportation pipeline[J]. Oil-Gas Field Surface Engineering, 2021, 40(8):57-64.
Lin R B, Zeng X F, Bao F, et al. Detection and localization of pipeline intrusion with distributed optical fiber acoustic sensing technology[J]. Oil & Gas Storage and Transportation, 2021, 40(5):545-553,560.
[58]
Chai J, Lei W L, Du W G, et al. Experimental study on distributed optical fiber sensing monitoring for ground surface deformation in extra-thick coal seam mining under ultra-thick conglomerate[J]. Optical Fiber Technology, 2019, 53:102006.
Wang C, Shang Y, Wang C, et al. Distributed optical fiber acoustic seismic wave exploration technology[J]. Shandong Science, 2021, 34(4):1-8.
[60]
Wamriew D, Pevzner R, Maltsev E, et al. Deep neural networks for detection and location of microseismic events and velocity model inversion from microseismic data acquired by distributed acoustic sensing array[J]. Sensors, 2021, 21(19):6627.
Liu H, Li J, Chi B X. Study of distributed acoustic sensing data waveform inversion based on strain rate[J]. Chinese Journal of Geophysics, 2022, 65(9):3584-3598.
Jiang J Y, Gao X G, Wang F Q, et al. Study on the application of marine geophysical comprehensive detection method in submarine pipeline detection[J]. Electric Power Survey & Design, 2020(S1):200-204.
Liu B H, Ding J S, Pei Y L, et al. Marine geophysical survey techniques and their applications to offshore engineering[J]. Advances in Marine Science, 2005, 23(3):374-384.
Chen T Y, Jiang X M. Research on installation technology of distributed fiber optic sensor in submarine pipeline[J]. Journal of Shengli College China University of Petroleum, 2020, 34(4):27-31.
[65]
Matsumoto H, Araki E, Kimura T, et al. Detection of hydroacoustic signals on a fiber-optic submarine cable[J]. Scientific Reports, 2021, 11:2797.
Huang Y H, Li C, Sun T X. Research on monitoring technology of submarine cable operation state[J]. New Technology & New Products of China, 2021(14):8-11.
Wan L J, Wu M S, Yan A B. Marine environmental noise monitoring technology based on distributed optical fiber acoustic sensing[J]. Acoustics and Electronics Engineering, 2021(2):11-14.
Wu W J, Feng X. Recognition method of lateral buckling of submarine pipeline based on distributed optical fiber sensing[J]. Journal of Applied Sciences, 2022, 40(5):779-789.
[69]
Wang T, Guomai S Y, Zhang L M, et al. Earthquake emergency response framework on campus based on multi-source data monitoring[J]. Journal of Cleaner Production, 2019, 238:117965.
[70]
Papp B, Donno D, Martin J E, et al. A study of the geophysical response of distributed fibre optic acoustic sensors through laboratory-scale experiments[J]. Geophysical Prospecting, 2017, 65(5):1186-1204.
[71]
Wang B S, Zeng X F, Song Z H, et al. Seismic observation and subsurface imaging using an urban telecommunication optic-fiber cable[J]. Chinese Science Bulletin, 2021, 66(20):2590-2595.
[72]
Hudson T S, Baird A F, Kendall J M, et al. Distributed acoustic sensing (DAS) for natural microseismicity studies:A case study from Antarctica[J]. Journal of Geophysical Research:Solid Earth, 2021, 126(7):1-14.
[73]
Nayak A, Ajo-Franklin J. Distributed acoustic sensing using dark fiber for array detection of regional earthquakes[J]. Seismological Research Letters, 2021, 92(4):2441-2452.
[74]
余双勇. 基于DAS分布式光纤声学传感地震检波器设计[D]. 长春: 长春理工大学, 2022.
[74]
Yu S Y. Design of distributed optical fiber acoustic sensor geophone based on DAS[D]. Changchun: Changchun University of Science and Technology, 2022.
[75]
Lyu H, Zeng X F, Bao F, et al. ADE-net:A deep neural network for DAS earthquake detection trained with a limited number of positive samples[J]. IEEE Transactions on Geoscience and Remote Sensing, 2022, 60:3143120.
[76]
Kowarik S, Hussels M T, Chruscicki S, et al. Fiber optic train monitoring with distributed acoustic sensing:Conventional and neural network data analysis[J]. Sensors, 2020, 20(2):450.
[77]
Wiesmeyr C, Litzenberger M, Waser M, et al. Real-time train tracking from distributed acoustic sensing data[J]. Applied Sciences, 2020, 10(2):448.
[78]
Wang S L, Liu F, Liu B. Research on application of deep convolutional network in high-speed railway track inspection based on distributed fiber acoustic sensing[J]. Optics Communications, 2021, 492:126981.
He J P. On-line monitoring method of expressway operation based on distributed optical fiber acoustic wave sensing[D]. Chengdu: University of Electronic Science and Technology of China, 2018.
[81]
Wang Y B, Schuster G T. Interferometric interpolation of missing seismic data[C]// SEG Technical Program Expanded Abstracts 2007.Society of Exploration Geophysicists, 2007:2688-2692.
[82]
Vasconcelos I, Snieder R. Interferometry by deconvolution:Part 1—Theory for acoustic waves and numerical examples[J]. Geophysics, 2008, 73(3):S115-S128.
[83]
Keiiti A. Space and Time Spectra of Stationary Stochastic Waves,with Special Reference to Microtremors[J]. Institute of Seismology, University of Tokyo, 1957, 35(3):415-56.
Cao W P, Huang X R, Yao H, et al. Seismic interferometry for traffic noise recorded by a distributed acoustic sensing system[J]. Chinese Journal of Geophysics, 2021, 64(7):2530-2539.
Hu D. Research on failure monitoring technology of tunnel reinforcement steel ring based on optical fiber distributed acoustic wave sensing[D]. Wuhan: Huazhong University of Science and Technology, 2021.
Cao C, Kong F D, Chu H, et al. Vibration monitoring of asphalt runway using distributed optical fiber sensor[J]. Journal of Civil Aviation, 2022, 6(6):38-43.
Ji R R, Wan L J, Wu M S. Application of distributed optical fiber acoustic wave sensing technology in PCCP pipeline monitoring[J]. Acoustics and Electronics Engineering, 2021(2):15-17,20.
Yan D Y, Li C Z, Hao H L, et al. Intelligent monitoring of slope rock and soil deformation based on distributed optical fiber sensing technology[J]. Automation & Instrumentation, 2022(12):176-180,185.
Feng H Y, Wang Y, Wang X. Research on bridge monitoring technology based on new distributed sensor[C]// Proceedings of the 14th National Slope Engineering Technology Conference.Kunming,China, 2022:452-459.
Gou L, Zhang S H, Yu G, et al. Optical fiber geophysics:Development status and future prospects[J]. Geophysical Prospecting for Petroleum, 2022, 61(1):15-31.
Dong S H. Development status and prospect of carbon capture,utilization and storage(CCUS) technology in China[J]. Guangdong Chemical Industry, 2021, 48(17):69-70.
[92]
曹瑶煜. 光纤与光栅传感技术在环境监测中的应用研究[D]. 上海: 上海第二工业大学, 2019.
[92]
Cao Y Y. Application research of optical fiber sensing and fiber grating sensing technology in environmental monitoring[D]. Shanghai: Shanghai Second Polytechnic University, 2019.