Browse > Article
http://dx.doi.org/10.7582/GGE.2015.18.2.054

Effective Estimation of Porosity and Fluid Saturation using Joint Inversion Result of Seismic and Electromagnetic Data  

Jeong, Soocheol (Dept. of Natural Resources and Environmental Engineering, Hanyang Univ.)
Seol, Soon Jee (Dept. of Natural Resources and Environmental Engineering, Hanyang Univ.)
Byun, Joongmoo (Dept. of Natural Resources and Environmental Engineering, Hanyang Univ.)
Publication Information
Geophysics and Geophysical Exploration / v.18, no.2, 2015 , pp. 54-63 More about this Journal
Abstract
Petrophysical parameters such as porosity and fluid saturation which provide useful information for reservoir characterization could be estimated by rock physics model (RPM) using seismic velocity and resistivity. Therefore, accurate P-wave velocity and resistivity information have to be obtained for successful estimation of the petrophysical parameters. Compared with the individual inversion of electromagnetic (EM) or seismic data, the joint inversion using both EM and seismic data together can reduce the uncertainty and gives the opportunity to use the advantages of each data. Thus, more reliable petrophysical properties could be estimated through the joint inversion. In this paper, for the successful estimation of petrophysical parameters, we proposed an effective method which applies a grid-search method to find the porosity and fluid saturation. The relations of porosity and fluid saturation with P-wave velocity and resistivity were expressed by using RPM and the improved resistivity distribution used to this study was obtained by joint inversion of seismic and EM data. When the proposed method was applied to the synthetic data which were simulated for subsea reservoir exploration, reliable petrophysical parameters were obtained. The results indicate that the proposed method can be applied for detecting a reservoir and calculating the accurate oil and gas reserves.
Keywords
joint inversion; seismic velocity; resistivity; rock physics model; porosity; fluid saturation; grid-search;
Citations & Related Records
Times Cited By KSCI : 2  (Citation Analysis)
연도 인용수 순위
1 Archie, G. E., 1942, The electrical resistivity log as an aid in determining some reservoir characteristics, Petroleum Transactions of AIME, 146, 54-62.   DOI
2 Brown, R. and Korringa, J., 1975, On the dependence of the elastic properties of a porous rock on the compressibility of the pore fluid, Geophysics, 40, 608-616.   DOI   ScienceOn
3 Constable, S., 2010, Ten years of marine CSEM for hydrocarbon exploration, Geophysics, 75, 75A67-75A81.   DOI
4 Duffy, J. and Mindlin, R. D., 1957, Stress-strain relations and vibrations of a granular medium, J. of Applied Mechanics, 24, 585-593.
5 Gallardo, L. A., Fontes, S. L., Meju, M. A., Buonora, M. P., and de Lugao, P. P., 2012, Robust geophysical integration through structure-coupled joint inversion and multispectral fusion of seismic reflection, magnetotelluric, magnetic, and gravity images: Example from Santos Basin offshore Brazil, Geophysics, 77, B237-B251.   DOI
6 Gao, G., Abubakar, A., and Habashy, T., 2010, Joint Inversion of Crosswell Electromagnetic and Seismic Data for Reservoir Petrophysical Parameters, SPE Annual Technical Conference and Exhibition, SPE 135307.
7 Gao, G., Abubakar, A., and Habashy, T., 2012, Joint petrophysical inversion of electromagnetic and full-waveform seismic data, Geophysics, 77, WA3-WA18.   DOI
8 Gassmann, F., 1951, Uber die elastizitat poroser medien, Veirteljahrsschrift der Naturforschenden Gesellschaft in Zurich, No. 96, pp. 1-23.
9 Harris, P., and MacGregor, L., 2006, Determination of reservoir properties from the integration of CSEM, seismic, and well-og data, First Break, 25, 53-59.
10 Hoversten, G. M., Cassassuce, F., Gasperikova, E., Newman, G. A., Chen, J., Rubin, Y. , Hou, Z., and Vasco, D., 2006, Direct reservoir parameter estimation using joint inversion ofmarine seismicAVAand CSEM data, Geophysics, 71, C1-C13.   DOI
11 Hu, W., Abubakar, A., and Habashy, T. M., 2009, Joint electromagnetic and seismic inversion using structural constraints, Geophysics, 74, R99-R109.   DOI
12 Jeong, S., Byun, J., and Seol, S. J., 2014, Joint electromagnetic inversion with structure constraints using full-waveform inversion result, Jigu-Mulli-wa-Mulli-Tamsa, 17, 187-201.
13 Joo, Y., Seol, S. J., and Byun, J., 2013, Acoustic full-waveform inversion of surface seismic data using the Gauss-Newton method with active constraint balancing, Geophysical Prospecting, 61, 166-182.   DOI
14 Krief, M., Garat, J., Stellingwerff, J., and Ventre, J., 1990, A petrophysical interpretation using the velocities of P and S waves (full-waveform sonic), The Log Analyst, 31, 355-369.
15 Raymer, L. L., Hunt, E. R., and Gardner, J. S., 1980, An improved sonic transit time-to-porosity transform, Trans. Soc. Prof. Well Log Analysts, 21st Annual Logging Symposium, pp. 1-12.
16 Kwon, T., Seol, S. J., and Byun, J., 2015, Efficient full-waveform inversion with normalized plane-wave data, Geophysical Journal International, 201, 53-60.   DOI
17 Moorkamp, M., Roberts, A. W., Jegen, M., Heincke, B., and Hobbs, R. W., 2013, Verification of velocity-resistivity relationships derived from structural joint inversion with borehole data, Geophysical Research Letters, 40, 3596-3601.   DOI
18 Park, C., and Nam, M., J., 2014, A Review on Constructing Seismic Rock Physics Models Based on Gassmann's Equation for Reservoir Fluid Substitution, J. Korean Soc. Miner. Energy Resour. Eng., 51, 448-446.
19 Semerci, O., Pan, G., Li, M., Liang, L., and Habashy, T., 2014, Joint electromagnetic and seismic inversion for petrophysical parameters using multi-objective optimization, 84 Ann. Internat. Mtg., Soc. Expl. Geophys., Expanded Abstracts, 733-738.
20 Tao, Y., and Sen, M. K., 2013, Frequency-domain full waveform inversion with plane-wave data: Geophysics, 78, R13-R23.   DOI
21 Tarantola, A., 1984, Inversion of seismic reflection data in the acoustic approximation, Geophysics, 49, 1259-1266.   DOI
22 Um, E., Commer, M., and Newman, G., 2014, A strategy for coupled 3D imaging of large-scale seismic and electromagnetic data sets: Application to subsalt imaging, Geophysics, 79, ID1-ID13.   DOI
23 Waxman, M. H., and Smits, M. J. L., 1968, Electrical conductivities in oilbearing shaly sands, SPE Journal, 8, 107-122.   DOI
24 Wyllie, M. R. J., Gregory, A. R., and Gardner, L. W., 1956, Elastic Wave Velocities in Heterogeneous and Porous Media, Geophysics, 21, 41-70.   DOI