Background Noise Imaging-based Monitoring of Water-driven Leading Edges


  • Feng Yang



Water Drive Leading Edge Monitoring, Passive Source Time-shift Imaging, Background Noise Imaging, Autocorrelation Seismic Interferometry, Dynamic Monitoring, Microseismic Monitoring


This paper investigates the necessity of monitoring the leading edge of water drive in the process of compression drive, and points out the limitations of the existing technology, among which the microseismic monitoring method is less costly and widely used but less accurate. Tracer tracking is reliable, and water injection effect can be judged by monitoring tracers in production wells, but the operation and interpretation are more cumbersome. Four-dimensional time-shifted seismic monitoring is reliable and can determine the location of water-driven front and predict the distribution of residual oil in long-term water-driven reservoirs, but the cost is high, the cycle time is long and the acquisition is inconsistent. And a new technique based on passive source time-shift imaging is proposed, which is based on background noise imaging with autocorrelation seismic interferometry to realize low-cost and long-time water-drive leading edge monitoring. The experimental results show that the way and number of geophones are deployed directly affect the imaging effect, in which the performance of the wire-bundle-like observation system is better than that of the ring-like system, and the more the number of geophones, the better the imaging effect. Effective dynamic monitoring of the water-driven leading edge was carried out in two mines using this technology, confirming its stability and reliability in practical application. The study provides a complete set of monitoring process, which brings the possibility of technology optimization for future oilfield development, and suggests combining with microseismic monitoring to improve the imaging accuracy and monitoring effect.


Zhu Heng, Wang Deli, Shi Zhian, et al.Passive seismic imaging of seismic interferometry[J].Progress in Geophysics, 2012,27 (2): 496-502.

Zhang Pan, Han Liguo, Liu Qiang, et al.Interpolation of seismic data from active and passive sources and their joint migration imaging[J]. Chinese Journal of Geophysics, 2015, 58(4):1754-1766.

Fang Jie, Yan Haofei, Liu Guofeng.Passive seismic body wave extraction technology and it’s quality control[J]. Progress in Geophysics,2019,1-15.

Liu Guofeng, Liu Yu, Meng Xiaohong, et al.Surface wave and body wave imaging of passive seismic exploration in shallow coverage area application of Inner Mongolia[J]. Chinese Journal of Geophysics,2021,64(3):937-948.

Guo Xin, Zou Zhihui.Numerical Study of Passive Time-lapse Seismic Method[J]. Chinese Journal of Engineering Geophysics, 2023, 20(4):518-528.

Gan Lideng, Yao Fengchang, Du Wenhui, et al.4D seismic technology for water flooding reservoirs[J]. Petroleum Exploration and Development,2007,34(4):437-444.

Rui Yongjun. Key processing technique for land non-uniform acquisition of time-lapse seism[J]. Geophysical and Geochemical Exploration,2016, 40(4):778-782.

Lei lei. Rock physical analysis and seismic forward modeling for CO_2 flooding[J]. Progress in Geophysics,2016,31(2):675-682.

You Rongjun, Yan Zhaotao. The applicability of time-lapse seismic monitoring in the geological storage of CO_2[J]. Computing Techniques For Geophysical and Geochemical Exploration,2016,38(3):1001.

M.D. Jackson, A.H. Muggeridge, Imperial College.Effect of Discontinuous Shales on Reservoir Performance During Horizontal Waterflooding[J].SPE Journal,2000,Vol.5(4): 446-455.

Jupe A, Cowles J. Microseismic monitoring: listen and see the reservoir [J]. World Oil, 1998, 219( 12) : 171-174.

Yiqiang L. Experimental Study on Physical Simulation of Polymer Flooding Large Plane Model. Beijing, China: Graduate University of Chinese Academy of Sciences; 2006.

Chuanfeng Z, Hanqiao J, Minfeng C, et al. Waterflooding state law of fractured sandstone reservoirs. J Xi'an Shiyou Univ (Natural Science Edition). 2006;02:26-28+4.

Wang Chunsheng,Sun Zexin, Sun Qiji, et al.Comprehensive evaluation of waterflooding front in low‐permeability reservoir.[J].Energy Science & Engineering,2021,Vol.9(9): 1.

Ivandic M, Bergmann P, Kummerow J, et al. Monitoring CO2 saturation using time‐lapse amplitude versus offset analysis of 3D seismic data from the Ketzin CO2 storage pilot site, Germany[J]. Geophysical Prospecting, 2018, 66, 8:1568-1585.

Zhao Xianzheng, Deng Zhiwen, Bai Xuming, et al. Environmental protection seismic exploration technology and application in grassland area of Erlian Basin [J]. Oil Geophysical Prospecting, 2015, Vol.50 (1): 14-19,13.

Yunshan Lei, Hongxiao Ning, Hu Xiao, et al. Joint application of node and wired instrument in high altitude mountain area [A].2018 SEG International Exposition and Annual Meeting [C],2018.

Bensen G D, Ritzwoller M H, Barmin M P, et al. Processing seismic ambient noise data to obtain reliable broad-band surface wave dispersion measurements[J]. Geophysical Journal International, 2007, 169(3):1239-1260.

Vidal C. Almagro, Draganov D, Vander Neut, et al. Retrieval of reflections from ambient noise using illumination diagnosis. Geophysical journal international, 2014, 198(3): 1572-1584.

Michał Chamarczuk, Michał Malinowski, Yohei Nishitsuji, et al. Automatic 3D illumination-diagnosis method for large- N arrays: Robust data scanner and machine-learning feature provider. Geophysics, 2019, 84(3): Q13-Q25.

Jie Fang, Yu Liu, Guofeng Liu.Enhancing body waves in passive seismic reflection exploration: A case study in Inner Mongolia, China[J].Interpretation,2022,Vol.10(2): B13-B24.

GU, Ning, CHAMARCZUK Michal, GAO Ji, et al.Passive Seismic Structure Imaging of a Coal Mine by Ambient Noise Seismic Interferometry on a Dense Array.[J].Acta Geologica Sinica, 2021, 95: 37-39.

Liu Guofeng, Liu Yu, Meng Xiaohong, et al. Surface wave and body wave imaging of passive seismic exploration in shallow coverage area application of Inner Mongolia [J]. Journal of Geophysics, 2021, 64 (3): 937-948.

Fengjiao Zhang, Zhuo Xu, Christopher Juhlin, et al.Passive seismic interferometry imaging: An example from the Ketzin pilot CO2 geological storage site[J].Journal of Applied Geophysics,2022, 205: 104765.

Thorbecke J W, Draganov D. Finite-difference modeling experiments for seismic interferometry[J]. Geophysics, 2011, 76(6):H1-H18.



10 May 2024




How to Cite

Yang, F. (2024). Background Noise Imaging-based Monitoring of Water-driven Leading Edges. International Journal of Energy, 4(3), 20-26.