Advances in electromagnetic techniques for exploration, prospecting, and monitoring of hydrocarbon deposits

References

1. Andreis, D. and MacGregor, L.
   [2011]. Using CSEM to monitor production from 3D gas reservoir - A synthetic case study.The Leading Edge, September, 1070–1079.
   [Google Scholar]
2. Barsukov, P.O. and Fainberg, E.B.
   [2015]. Pulse and Frequency Soundings of Shelf Hydrocarbon Reservoirs. In: Spichak, V. (Ed.) Electromagnetic Sounding of the Earth’s Interior: Theory, Modeling, Practice.Elsevier, Amsterdam, 403–428.
   [Google Scholar]
3. Bedrosian, P.A.
   [2007]. MT+, integrating magnetotellurics to determine earth structure, physical state and processes.Surv. Geophys., 28, 121–167.
   [Google Scholar]
4. Berdichevsky, M.N., Bubnov, V., Aleksanova, E., Alekseev, D., Yakovlev, A. and Yakovlev, D.
   [2015]. Magnetotelluric studies in Russia: regional scale surveys and hydrocarbon exploration. In: SpichakV. (Ed.) Electromagnetic Sounding of the Earth’s Interior: Theory, Modeling, Practice.Elsevier, Amsterdam, 379–402.
   [Google Scholar]
5. Buland, A., Loseth, L.O. and Rosten, T.
   [2010]. The value of CSEM data in exploration. In: Proc. 72nd EAGE Conference and Exhibition, Barcelona, Spain.
   [Google Scholar]
6. Colombo, D., Dasgupta, S., Strack, K.M. and Yu, G.
   [2010]. Feasibility study of surface-to-borehole CSEM for oilwater fluid substitution in Ghawar field, Saudi Arabia. In: Proc. 9th Middle East Geoscience Conference and Exhibition. Manama, Bahrain.
   [Google Scholar]
7. He, Z., Hu, W. and Dong, W.
   [2010]. Petroleum Electromagnetic Prospecting Advances and Case Studies in China. Surv. Geophys., DOI: 10.1007/s10712‑009‑9093‑z.
   https://doi.org/10.1007/s10712-009-9093-z [Google Scholar]
8. Hesthammer, J., Fanavoll, S., Stefatos, A., Danielsen, J.E. and Boul-aenko, M.
   [2010]. CSEM performance in light of well results.The Leading Edge, (01), 258–264.
   [Google Scholar]
9. Hu, W., Yan, L., Su, Z., Zheng, R., Strack, K.M.
   [2008]. Array TEM sounding and application for reservoir monitoring.SEG Las Vegas Annual meeting, Expanded Abstracts, 634–638.
   [Google Scholar]
10. Johansen, S.
    [2008]. How EM survey analysis validates current technology, processing and interpretation methodology.First Break, (2), 83–88.
    [Google Scholar]
11. Kalkomey, C.T.
    [1997]. Potential risks when using seismic attributes as predictors of reservoir properties.The Leading Edge, 3, 247–251.
    [Google Scholar]
12. Key, K.
    [2012]. Marine electromagnetic studies of the seafloor resources and tectonics.Surv. Geophys., 33, 135–137.
    [Google Scholar]
13. Kopilevich, E.A. and Surova, N.D.
    [2012]. Method for forecasting reservoir rock properties from seismic survey data.Geofisika, 1, 20–26 (in Russian).
    [Google Scholar]
14. Le Carlier, C., Royer, J.-J., Flores, E.L.
    [1994]. Convective heat transfer at Soultz-sous-Forêts geothermal site: implications for oil potential.First Break, 12(11), 553–560.
    [Google Scholar]
15. MacGregor, L.
    [2012]. Integrating seismic, CSEM, and well-log data for reservoir characterization.The Leading Edge, (03), 268–277.
    [Google Scholar]
16. Pan, R. and Ma, X.
    [1997]. An Approach to Reserve Estimation Enhanced with 3D Seismic Data. Renewable Resources, 6(4), 251–255.
17. Ridyard, D., Hesthammer, J.
    [2011]. Value creation using electromagnetic imaging. World Oil, 51–54.
    [Google Scholar]
18. Roussé, S., Filleaudeau, P-Y., Mermy, G.C., Letteron, A. and Scham-ing, M.
    [2016]. Integrated Stratigraphic and Petroleum System Modeling Study of the Southern Upper Rhine Graben.AAPG/SEG International Conference and Exhibition, Expanded Abstracts.
    [Google Scholar]
19. Siripunvaraporn, W.
    [2012]. Three-dimensional magnetotelluric inversion: a introductory guide for developers and users.Surveys in Geophysics, 33(1), 5–27.
    [Google Scholar]
20. Spichak, V.V.
    [2013]. A new strategy for geothermal exploration drilling based on using of an electromagnetic sounding data.Int. Workshop on High Entalphy Geothermal Systems, Expanded Abstracts.
    [Google Scholar]
21. Spichak, V.V.
    [2014]. Reduce exploration drilling costs: pourquoi pas?! D-GEO-D Conference, Expanded Abstracts.
    [Google Scholar]
22. Spichak, V.V.
    [2017]. Application of electromagnetic techniques for oil and gas prospecting.Geofisika, 6, 33–43 (in Russian).
    [Google Scholar]
23. Spichak, V.V., Bezruk, I.A., and Popova, I.V.
    [2008]. Building of deep claster petrophysical models from geophysical data and forecasting of the hydrocarbon potential of territories.Geofisika, 5, 43–45 (in Russian).
    [Google Scholar]
24. Spichak, V., Geiermann, J., Zakharova, O., Calcagno, P., Genter, A. and Schill, E.
    [2015]. Estimating deep temperatures in the Soultzsous-Forêts geothermal area (France) from magnetotelluric data.Near Surface Geophysics, 13(4), 397–408.
    [Google Scholar]
25. Spichak, V.V. and Goidina, A.G.
    [2016]. Neural Network Estimate of Seismic Velocities and Resistivity of Rocks from Electromagnetic and Seismic Sounding Data accordingly.Izvestiya, Physics of the Solid Earth, 52(3), 371–381.
    [Google Scholar]
26. Spichak, V.V. and Zakharova, O.
    [2015]. Electromagnetic geother-mometry.Elsevier B.V., Amsterdam.
    [Google Scholar]
27. Spichak, V.V. and Zakharova, O.
    [2016]. Porosity estimation at depths below the borehole bottom from resistivity logs and electromagnetic resistivity.Near Surface Geophysics, 14(3), 299–306.
    [Google Scholar]
28. Strack, K.M.
    [2014]. Future Directions of Electromagnetic Methods for Hydrocarbon Applications.Surv. Geophys., 35, 157–177.
    [Google Scholar]
29. Zhang, K., Wei, W., Lu, Q., Dong, H. and Li, Y.
    [2014]. Theoretical assessment of 3-D magnetotelluric method for oil and gas exploration: synthetic examples.J. Appl. Geophys., 106, 23–36.
    [Google Scholar]