Kharazmi Journal of Earth Sciences

Kharazmi Journal of Earth Sciences

Porosity estimation using post-stack seismic inversion method in part of the Qom Formation in the Aran Anticline, Central Iran

Authors
Abstract
Reservoir petrophysical properties (including porosity, permeability and water saturation) are the most important characteristics of a hydrocarbon reservoirs that are used in economic evaluation, production planning and their development management. Accurate measurement of these properties is possible only by drilling wells and/or studying drilling cores, but by studying subsurface data (including petrophysical diagrams of drilled wells and reflective seismic information); we can find relations and based on them, estimate these reservoir properties for areas far from wells. In present study, the porosity of a part of the Qom Formation in the Aran anticline, located in Central Iran, is estimated using three-dimensional seismic data and porosity, density and P-wave sonic logs in three exploratory wells based on Model-based post-stack seismic inversion and using multi-attributes. The results show that the acoustic impedance indicator have the lowest error among the five used indicators. In addition, the amount of porosity in reservoir parts of the Qom Formation, between f and c₄ members,” from well A-01 toward well A-02 is more than well A-01 to well A-03.
Keywords
Subjects

1. Lines, L.R., and Tritel, S.," A review of least – squares inversion and its application to geo physical problems," geo physical prospecting, 32 (1984) 159-186
2. Todorove, T., Stewart, R., Hampson, D., Russell ,B.,"Well log prediction using attributes from 3C-3D Seismic data", SEG LIBRARY,17 (1998) 1574-1577
3. Tonn, R.,"Neural network Seismic reservoir characterization in a heavy oil reservoir", The Leading Edge, 21 (2002) 309-312
4. Hampson, D.P., Schuelke, J.S., Quirein,J.A "Use of multiattribute transforms to predict log properties from seismic data ", Geophysics,66 (2001) 220-236
5. Batzle, M., and Wang, Z.," Seismic properties of fluids", Geophysics, 57 (1992) 1396-1408.
7- Russell, B., et al. "Combining geostatistics and multi-attribute transforms: A channel sand case study, Blackfoot oilfield (Alberta)." Journal of Petroleum Geology 25.1 (2002) 97-117.
8-cook, D. A., and Schneider, W. A.,"Generalized linear inversion of reflection seismic data", Geophysics, 48(1983) 665-676
9-Misra, s., Chopra, s," Neural network analysis and impedance inversion-case study”, Arcis Corporation, Calgary, Alberta, (2011)
10-Waldne, A. T., and Hosken, J. W .J, "An investigation of the spectral properties of primary reflection coefficients", Geophysical prospecting, 33(1985)
11. Oldenburg, D.W., Scheuer, T. and Levy, S," Recovery of the acoustic impedance from reflection Seismograms", Geophysics, 48 (1983).
12. Russell, B.," Introduction to Seismic inversion method: Society of Exploration", Geophysicists, (Course notes from SEG Continuing Education Course) (1988)
13. Huss, M. and Feary, D. A., "Seismic inversion for acoustic impedance and porosity of Cenozoic cool-water carbonate on the upper continental slope of the great Australian bight", Marine Geology, 215) 2005(123-134
14. Balch, A. H.,"Color Sonograms: A new dimension in Seismic data interpretation", Geophysics, 36 (1971) 1071-1098.
15. White, R.E., 1991," Properties of instantaneous Seismic attributes", The Leading Edge, 10 (1991). (Discussion and reply in TLE- 1146-45-8- and TLE-11-10-12-10).
16. Brown, A. R"Interpretation of three-dimensional seismic data”, AAPG Memoir, 42 (1996)
17. Partyka, G., Gridley, J. and Lopez, J., "Interpretational applications of spectral decomposition in reservoir characterization", The Leading Edge, 18 (1999) 353-360.
18. Taner, M.T., koehler, F., and Sheriff, R. E., "Complex Seismic analysis", Geophysics, 44 (1979) 1041-1063.
19. Chen, Q., and Sidney, S., 1997," Seismic attribute technology for reservoir forecasting and monitoring", The Leading Edge, 16(1997) 445-448
20. Chopra, S., and Marfurt, k. J., “Seismic attributes for reservoir characterization ", SEG, (2007)
21. Barns, A., "Too many Seismic attributes,"CSEG Recorder, 31 (2006) 40-45.
22. Russell, B. H., K. Hedlin, F. Hilterman and L. R. Lines, "Fluid-property discrimination with AVO: A Biot-Gassmann perspective", Geophysics, 68 (2003).
23. Marroquin, I.D," Automated Seismic facies for data integration: an example from Fort Worth Basin", first break, 33 (2015).
24. Othman, A.A.A., Ewida, H.F., Fathi, M. M. Ali, Embody, M. M. A. A.," Seismic Inversion for Reservoir characterization in Komombo Basin, Upper Egypt, (Case study). IJISET"-,
International Journal of Innovative Science, Engineering & Technology, 2 (2015).
25. Doyen, P.M," porosity from seismic data: A geostatistical approach", Geophysics, 53 (1988).
29. Yulong, H., and Zhiyong, L.," Interpretation of two – dimensional/ three- dimensional seismic data of Aran structural belt in Kashan block Tehran", National Iranian oil company (NIOC) K-53 (2005) 30-40.
30. Morley C., Kongwung B., Julapour A. A., Abdolghafourian M., Hajian M., Waples D., Warren J.,Otterdoom H., Srisuriyon H., Kazemi H.,"Structural development of a major late Cenozoic basin and transpressional belt in Central Iran: The Central Basin in the Qom-Saveh area", Geosphere, 5 (2009) 1-38
31. Hampson, D., Galbraith, M., “Wavelet extraction by sonic log correlation”, Journal of the CSEG, 17 (1981) 24-42.
32. Brown R.L., MCELhattan, W., and Santiago, D.j "Wavelet estimation: An interpretive approach Geophysics ", The Leading Edge of Exploration, (1988) 16-19.