Abstract Dynamic exploration for oil and gas requires careful monitoring of reservoir contents for safety and efficiency of oil extraction. This paper proposes a multi-source and multi-azimuth walk-around vertical electromagnetic profiling (MM-VEP) technique for surface-to-borehole electromagnetic surveying. Based on the difference in conductivities between reservoirs with different concentrations of oil and water, MM-VEP can be used to monitor reservoirs as they are injected with water. The MM-VEP response in five azimuth planes is modeled with three-dimensional (3D) integral equation calculations. The progress of waterflooding in four stages for enhanced oil recovery is shown to be indicated by field anomalies MM-VEP caused by variations in the reservoir resistivity. Numerical modeling demonstrates that MM-VEP measurements provides enough quantitative information from an underground reservoir to accurately detect oil deposits and monitor the progress of waterflooding.
This work is supported by the National Science and Technology Major Project (No. 2011ZX05019-007), National Natural Science Foundation of China (No. 41604097), China Postdoctoral Science Foundation (No. 2016M592611), and Project (Nos. 002401003503 and 002401003514) from Guilin University of Technology.
Cite this article:
. Three-dimensional numerical modeling of surface-to-borehole electromagnetic method for monitoring reservoir[J]. APPLIED GEOPHYSICS, 2017, 14(4): 559-569.
[1]
Liu, Y. X., and Zhao, W., 2014, Preliminary experiment of new time-lapse microgravity monitoring technique in T-gas reservoir: 84th Annual International Meeting, SEG, Expanded Abstracts, 1359−1363.
[2]
Bai, Z., Tang, M. J., and Zhang, F. L., 2016, Three-dimensional forward modeling and inversion of borehole-to-surface electrical imaging with different power sources: Applied Geophysics, 13(3), 437−448.
[3]
Meng, Q. X., Hu, X. Y., Pan,H. P., and Zhou, F., 2017, Numerical analysis of multicomponent responses of surface-hole transient electromagnetic method: Applied Geophysics, 14(1), 175−186.
[4]
Böhm, G., Carcione, J. M., and Gei, D., 2015, Cross-well seismic and electromagnetic tomography for CO 2 detection and monitoring in a saline aquifer: Journal of Petroleum Science and Engineering, 133, 245−257.
[5]
Shang, X. M., 2014, Static correction in time-lapse seismic data processing. Geophysical & Geochemical Exploration, 38(1), 162−166.
[6]
Chung, Y., Son, J. S., and Lee, T. J., 2011, 3D CSEM modeling and inversion algorithms for a surface-to-borehole survey: 81th Annual International Meeting, ,SEG, Expanded Abstracts, 645−649.
[7]
Shen, J. S., Wang, Z. G., and Ma, C., 2014, Application of the cross-hole electromagnetic method (CHEM) in hydrocarbon reservoir monitoring: Oil Geophysical Prospecting, 49(1), 213−224.
[8]
Colombo, D., and Gary, W. M., 2013, Quantifying surface-reservoir electromagnetics for waterflood monitoring in a Saudi Arabian carbonate reservoir.: Geophysics, 78(6), E281−E297.
[9]
Shang, X. M., 2014, Static correction in time-lapse seismic data processing. Geophysical & Geochemical Exploration, 38(1), 162−166.
[10]
He, Z. X., Sun, W. B., and Kong, F. X., 2006, Marine electromagnetic approach: Oil Geophysical Prospecting, 41(4), 451−457.
[11]
He, Z. X., Hu, W. B., and Dong, W. B., 2010, Petroleum electromagnetic prospecting advances and case studies in China: Surv Geophys., 31, 207−224.
[12]
Shi, Y. L., Hu, Z. Z., Huang, W. H., Wei, Q., Zhang, S., Meng,C. x., and Ji, L. X., 2016, The distribution of deep source rocks in the GS Sag: joint MT-gravity modeling and constrained inversion: Applied Geophysics,13(3), 469−479.
[13]
He, L., Hu, X., and Xu, L., 2012, Feasibility of monitoring hydraulic fracturing using time-lapse audio-magnetotellurics: Geophysics, 77(4), WB119−WB126.
[14]
Sugihara, M., Nawa, K., and Nishi, Y., 2013, Continuous gravity monitoring for CO2 geo-sequestration: Energy Procedia, 37, 4302−4309.
[15]
Huang, F., Juhlin, C., and Kempka, T., 2015, Modeling 3D time-lapse seismic response induced by CO 2 by integrating borehole and 3D seismic data-A case study at the Ketzin pilot site, Germany: International Journal of Greenhouse Gas Control, 36, 66−77.
[16]
Tang, Q. J., Hang, L. G., and Dou, X. Y., 2010, Simulation based on cross-hole time-lapse seismic record of Random monoclinic media: Journal of Oil and Gas Technology, 32(2), 261−266.
[17]
Hursan, G., and Zhdanov, M. S., 2002, Contraction integral equation method in three-dimensional electromagnetic modeling: Radio Sci., 37, 1089.
[18]
Tietze, K., Ritter, O., and Veeken, P., 2015, Controlled-source electromagnetic monitoring of reservoir oil saturation using a novel borehole to surface configuration: Geophysical Prospecting, 63(6), 1468−1490.
[19]
Hu, Z. Z., He, Z. X., and Li, D. C., 2014, Reservoir monitoring feasibility study with time lapse magnetotelluric survey in Sebei Gas Field: Oil Geophysical Prospecting, 49(5), 997−1005.
[20]
Weidelt, P., 1975, EM induction in three-dimensional structures: Geophysics, 41, 85−109.
[21]
Li, Z. T., 2005, Three Dimension reservoir electrical resistance tomography technique for residual oil exploration: PhD Thesis, China University of Geosciences (Beijing), Beijing.
[22]
Wirianto, M., Mulder, W. A., and Slob, E. C., 2010, A feasibility study of land CSEM reservoir monitoring in a complex 3-D model: Geophysical Journal International, 181(2), 741−755.
[23]
Li, J. H., He, Z. X., Lv, Y. Z., and Li, X., 2011, A review of wellhole electromagnetic exploration technology and the status of numerical simulation: Chinese Journal of Engineering Geophysics, 8(3), 303−309.
[24]
Young, W. M., and Lumley, D., 2015, Feasibility analysis for time-lapse seafloor gravity monitoring of producing gas fields in the Northern Carnarvon Basin, offshore Australia: Geophysics, 80(2), WA149−WA160.
[25]
Li, J. H., 2012, Simulation research of vertical electromagnetic profile of surface to borehole technique- A new way of monitoring rent reservoir: MS Thesis, Guilin University of Technology, Guilin, China.
[26]
Li, J. H., and He, Z. X., 2014, Three-dimensional cross-well electromagnetic inversion using the least-square method: Oil Geophysical Prospecting, 49(3), 586−595.
[27]
Zhang, J. H., Li, J., Xiao, W., Tang, M. Y., Zhang, Y. Y., Cui, S. L., and Qu, Z. P., 2016, Seismic dynamic monitoring in CO2 flooding based on characterization of frequency-dependent velocity factor: Applied Geophysics, 13(2), 307−314.
[28]
Li, J. H., Jia, Y., Liu, Q. H., and He, Z. X., 2014, A fast solver for vertical electromagnetic profiles of surface to borehole electromagnetic method (SBEM): 84th Annual International Meeting, SEG, Expanded Abstract, 628−632.
[29]
Zhang, R. W., Li, H. Q., Zhang, B. J., Huang, H. D., and Wen, P. F., 2015, Detection of gas hydrate sediments using prestack seismic AVA inversion: Applied Geophysics, 12(3), 453−464.
[30]
Li, J. H., Song, L. P., and Liu, Q. H., 2016, Multiple frequency contrast source inversion method for vertical electromagnetic profiling: 2D simulation results and analyses: Pure and Applied Geophysics, 173(2), 607−621.
[31]
Zhdanov, M. S., 2002, Geophysical inverse theory and regularization problems: Elsevier, 627.
[32]
Liu, Y. X., and Zhao, W., 2014, Preliminary experiment of new time-lapse microgravity monitoring technique in T-gas reservoir: 84th Annual International Meeting, SEG, Expanded Abstracts, 1359−1363.
[33]
Zhdanov, M. S., and Lee, S. K., 2005, Integral equation method for 3D modeling of EM field in complex structures with inhomogeneous background conductivity in marine CSEM applications: 75th Annual International Meeting, SEG, Expanded Abstracts, 510−513.
[34]
Meng, Q. X., Hu, X. Y., Pan,H. P., and Zhou, F., 2017, Numerical analysis of multicomponent responses of surface-hole transient electromagnetic method: Applied Geophysics, 14(1), 175−186.
[35]
Shang, X. M., 2014, Static correction in time-lapse seismic data processing. Geophysical & Geochemical Exploration, 38(1), 162−166.
[36]
Shen, J. S., Wang, Z. G., and Ma, C., 2014, Application of the cross-hole electromagnetic method (CHEM) in hydrocarbon reservoir monitoring: Oil Geophysical Prospecting, 49(1), 213−224.
[37]
Shang, X. M., 2014, Static correction in time-lapse seismic data processing. Geophysical & Geochemical Exploration, 38(1), 162−166.
[38]
Shi, Y. L., Hu, Z. Z., Huang, W. H., Wei, Q., Zhang, S., Meng,C. x., and Ji, L. X., 2016, The distribution of deep source rocks in the GS Sag: joint MT-gravity modeling and constrained inversion: Applied Geophysics,13(3), 469−479.
[39]
Sugihara, M., Nawa, K., and Nishi, Y., 2013, Continuous gravity monitoring for CO2 geo-sequestration: Energy Procedia, 37, 4302−4309.
[40]
Tang, Q. J., Hang, L. G., and Dou, X. Y., 2010, Simulation based on cross-hole time-lapse seismic record of Random monoclinic media: Journal of Oil and Gas Technology, 32(2), 261−266.
[41]
Tietze, K., Ritter, O., and Veeken, P., 2015, Controlled-source electromagnetic monitoring of reservoir oil saturation using a novel borehole to surface configuration: Geophysical Prospecting, 63(6), 1468−1490.
[42]
Weidelt, P., 1975, EM induction in three-dimensional structures: Geophysics, 41, 85−109.
[43]
Wirianto, M., Mulder, W. A., and Slob, E. C., 2010, A feasibility study of land CSEM reservoir monitoring in a complex 3-D model: Geophysical Journal International, 181(2), 741−755.
[44]
Young, W. M., and Lumley, D., 2015, Feasibility analysis for time-lapse seafloor gravity monitoring of producing gas fields in the Northern Carnarvon Basin, offshore Australia: Geophysics, 80(2), WA149−WA160.
[45]
Zhang, J. H., Li, J., Xiao, W., Tang, M. Y., Zhang, Y. Y., Cui, S. L., and Qu, Z. P., 2016, Seismic dynamic monitoring in CO2 flooding based on characterization of frequency-dependent velocity factor: Applied Geophysics, 13(2), 307−314.
[46]
Zhang, R. W., Li, H. Q., Zhang, B. J., Huang, H. D., and Wen, P. F., 2015, Detection of gas hydrate sediments using prestack seismic AVA inversion: Applied Geophysics, 12(3), 453−464.
[47]
Zhdanov, M. S., 2002, Geophysical inverse theory and regularization problems: Elsevier, 627.
[48]
Zhdanov, M. S., and Lee, S. K., 2005, Integral equation method for 3D modeling of EM field in complex structures with inhomogeneous background conductivity in marine CSEM applications: 75th Annual International Meeting, SEG, Expanded Abstracts, 510−513.