Integration of 2D seismic and well log data for petrophysical modeling and gas reserve estimation in appraisal state of petroleum exploration

Shiri, Y., Moradzadeh, A., Ghavani-Riabi, R. and Chehrazi, A., 2012. Integration of 2D seismic and well log data for petrophysical modeling and gas reserve estimation in appraisal state of petroleum exploration. Journal of Seismic Exploration, 21: 231-246. Three-dimensional (3D) petrophysical modeling is an essential step in quantitative description, static and dynamic evaluation of any hydrocarbon reservoir. This study addresses several important issues of integrating high and low resolution data in regional steps of petroleum exploration. The approach used in this study can constrain stratigraphy and geocellular model by integrating multiple kinds of geophysical data. The specific procedure implemented consists of a broad-band two-dimensional (2D) seismic inversion and stochastic petrophysical modeling. The final high resolution model, which can be used in both static and dynamic evaluation of the reservoir, is utilized for gas in-place estimation in the initial steps of hydrocarbon exploration in Iranian Farour-A oilfield. The results indicate that the application of this methodology on well logging and 2D seismic data provides a detailed description of the reservoir properties, and also leads to better reserve evaluation in comparison with the conventional techniques based on well logs and seismic data.
- Ahmed, T., 2000. Reservoir engineering handbook. Gulf Publishing Company, Houston, TX, pp.
- Anderson, M.R., 1989. Hydrogeologic facies models to delineate large-scale spatial trends in glacial
- and glaciofluvial sediments. Geol. Soc. Am. Bull., 101: 501-511.
- Berryman, J.G. and Wang, H.F., 2000. Elastic wave propagation and attenuation in a
- double-porosity dual-permeability medium. Int. J. Rock Mech. and Mining Sci., 37: 67-78.
- Dannowski, G. and Yaramanci, U., 1999. Estimation of water content and porosity using combined
- radar and geoelectrical measurements. Europ. J. Env. Eng. Geophys., 4: 71-85.
- Fleming, A.H., 1998a. Using glacial terrain models to define hydrogeologic settings in
- heterogeneous depositional systems. In: Fraser, G.S. and Davis, J.M. (Eds.), Hydrogeologic
- Models of Sedimentary Aquifers. SEPM Concepts in Hydrogeology and Environmental
- Geology, Vol. 1: 25-46.
- Fleming, A.H., 1998b. Using glacial terrain models to characterize aquifer system structure,
- heterogeneity and boundaries in an interlobate basin, northeastern Indiana. In: Fraser, G.S.
- and Davis, J.M. (Eds.), Hydrogeologic Models of Sedimentary Aquifers. SEPM Concepts
- in Hydrogeology and Environmental Geology, Vol. 1: 47-68.
- 246 SHIRI, MORADZADEH, GHAVAMI-RIABI & CHEHRAZI
- Galloway, W.E. and Sharp, J.J.M., 1998a. Characterizing aquifer heterogeneity within terrigenous
- clastic depositional systems. In: Fraser, G.S. and Davis, J.M. (Eds.), Hydrogeologic Models
- of Sedimentary Aquifers. SEPM Concepts in Hydrogeology and Environmental Geology,
- Vol. 1: 85-90.
- Galloway, W.E. and Sharp, J.J.M., 1998b. Hydrogeology and characterization of fluvial aquifer
- systems. In: Fraser, G.S. and J.M. Davis (Eds.), Hydrogeologic Models of Sedimentary
- Aquifers. SEPM Concepts in Hydrogeology and Environmental Geology, Vol. 1: 91-106.
- Garambois, S., Senechal, P. and Perroud, H., 2002. On the use of combined geophysical methods
- to assess water content and water conductivity of near-surface formations. J. Hydrol., 259:
- 32-48.
- Hampson, D. and Russell, B., 1990. Inversion, theory and practice. Expanded Abstr., 60th Ann.
- Internat. SEG Mtg., San Francisco: 1456-1458.
- Hilfer, R., 2000. Local porosity theory and stochastic reconstruction for porous media. In: Mecke,
- K. and Stoyan, D. (Eds.), Statistical Physics and Spatial Statistics, Lecture Notes in Physics,
- Berlin. Springer Verlag: 254.
- Hubbard, S.S., Chen, J. and Peterson, J., 2001. Hydrogeological characterization of the South
- Oyster Bacterial Transport Site using geophysical data. Water Resourc., 37: 2431-2456.
- Kantzas, A., Chatziz, I. and Dullien, F.A.L., 1988. Enhanced oil recovery by inert gas injection.
- Proc. 6th SPE/DOE Sympos. Enhanced Oil Recov., Tulsa, OK, SPE 13264.
- Lindseth, R.O., 1979. Synthetic sonic logs, A process for stratigraphic interpretation. Geophysics,
- 44: 3-26.
- Miiller, A.J. and Saez, A.E., 1999. The Rheology of Polymer Solutions in Porous Media, Flexible
- Polymer Chains in Elongational Flow: Theories and Experiments. Springer-Verlag,
- Heidelberg: 335-393.
- Nikravesh, M., 2007. Computational intelligence for geosciences and oil exploration. Springer
- Verlag: 267-332.
- Oldenburg, D.W., Scheuer, T. and Levy, S., 1983. Recovery of the acoustic impedance from
- reflection seismograms. Geophysics, 48: 1318-1337.
- Russell, B.H., 2004. The Application of Multivariate Statistics and Neural Networks to the
- Prediction of Reservoir Parameters Using Seismic Attributes. Ph.D. thesis, University of
- Calgary, Alberta.
- Spoler, C. and Klapp, S.H.L., 2004. Vapor-liquid transitions of dipolar fluids in disordered porous
- media: Performance of angle-averaged potentials. J. Chem. Phys., 121: 9623-9629.
- Stanford, S.D. and Ashley, G.M., 1998. Using three-dimensional geologic models to map glacial
- aquifer systems: An example from New Jersey. In: Fraser, G.S and Davis, J.M. (Eds.),
- Hydrogeologic Models of Sedimentary Aquifers. SEPM Concepts in Hydrogeology and
- Environmental Geology, Vol. 1: 69-84.