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.
. 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.