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Comparison between curvature and 3D strain analysis methods for fracture predicting in the Gachsaran oil field (Iran)

Published online by Cambridge University Press:  31 May 2011

ALI SHABAN ,
SHAHRAM SHERKATI  and
SEYED ABOLFAZL MIRI
ALI SHABAN*
Affiliation:
NIOC Exploration Directorate, 1st Dead End, Seoul St, NE Sheikh Bahaei Sq., Tehran, Iran
SHAHRAM SHERKATI
Affiliation:
NIOC Exploration Directorate, 1st Dead End, Seoul St, NE Sheikh Bahaei Sq., Tehran, Iran
SEYED ABOLFAZL MIRI
Affiliation:
NIOC Exploration Directorate, 1st Dead End, Seoul St, NE Sheikh Bahaei Sq., Tehran, Iran
*
*Author for correspondence: alishaban2001@yahoo.com
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Abstract

Most carbonate fractured reservoirs display complex behaviour in the simulation and production stages of their development, and this complexity is thought to be the result of the different fracture distributions and intensities within the reservoir. Accurate fracture characterization is therefore essential and the two techniques most commonly used for fracture prediction are ‘strain analysis’ and ‘curvature analysis’. In this paper these two methods of fracture analysis are compared by applying them to the Gachsaran oil field in the Zagros folded belt and comparing the predictions of the two with the performance history of the reservoir. This reservoir is well suited for such a study as there is a large quantity of seismic data and over 350 wells have been drilled. Fracture intensity indicator maps have been produced using both methods and the results compared with production index data from the wells. The indicator map produced using the 3D strain analysis method in which special attention was given to the structural setting, structural evolution and the position of the fractures with respect to the local stress orientation, was found to be more compatible with the production index data than the map produced using the method of curvature analysis. In addition, the study also demonstrates that one of the great advantages of strain analysis compared to the curvature method is its ability to predict variations in the vertical direction and thus provide data related to a reservoir volume rather than simply to a surface.

Keywords

fracturereservoirstraincurvatureoil
Type
THE ZAGROS FOLD-THRUST BELT: FOLDS AND FRACTURES
Information
Geological Magazine , Volume 148 , Issue 5-6: THEMATIC ISSUE: Geodynamic evolution of the Zagros , November 2011 , pp. 868 - 878
Copyright
Copyright © Cambridge University Press 2011

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References

Antonellini, M. & Aydin, A. 1995. Effect of faulting on fluid flow in porous sandstones: geometry and spatial distribution. American Association of Petroleum Geologists Bulletin 79, 642–70.Google Scholar
Berberian, M. 1983. Continental deformation in the Iranian plateau (Contribution to the seismotectonics of Iran, part IV). Geological Survey of Iran, Report no. 52.Google Scholar
Berberian, M. & King, G. C. P. 1981. Towards a paleogeography and tectonic evolution of Iran. Canadian Journal of Earth Science 18, 210–65.CrossRefGoogle Scholar
Bergbauer, S. 2007. Testing the predictive capability of curvature analyses. In Structurally Complex Reservoirs (eds Jolley, S. J., Barr, D., Walsh, J. J. & Knipe, R. J.), pp. 185–202. Geological Society of London, Special Publication no. 292.Google Scholar
Bergbauer, S. & Pollard, D. D. 2004. A new conceptual fold fracture model including prefolding joints, based on the Emigrant Gap anticline, Wyoming. Geological Society of America Bulletin 116, 294–307.Google Scholar
Bourne, S. J., Rijkels, L., Stephenson, B. J. & Willemse, E. J. M. 2001. Predictive modelling of naturally fractured reservoirs using geomechanics and flow simulation. GeoArabia 6, 27–42.CrossRefGoogle Scholar
Dee, S. J., Yielding, G., Freeman, B., Healy, D., Kusznir, N. J., Grant, N. & Ellis, P. 2007. Elastic dislocation modeling for prediction of small-scale fault and fracture network characteristics. In Fractured Reservoirs (eds Lonergan, L., Jolly, R. J. H., Rawnsley, K., & Sanderson, D. J.), pp. 139–55. Geological Society of London, Special Publication no. 270.Google Scholar
Fischer, M. P. & Wilkerson, M. S. 2000. Predicting the orientation of joints from fold shape: results of pseudo three-dimensional modeling and curvature analysis. Geology 28, 15–18.2.0.CO;2>CrossRefGoogle Scholar
Galard, J. H., Zoormand, G. H., Ghanizadeh, M., Daltaban, S. & Camus, D. 2005. A case study on redevelopment of a giant highly fractured carbonate reservoir in Iran based on integrated reservoir characterization and 3D modeling study. Society of Petroleum Engineers, Paper Number 93760.Google Scholar
Gray, D., Roberts, G. & Head, K. 2002. Recent advances in determination of fracture strike and crack density from P-wave seismic data. The Leading Edge 21, 280–5.Google Scholar
Griffiths, P. A., Jones, S., Salter, N., Schaefer, F., Osfield, R. & Reiser, H. 2002. A new technique for 3-D flexural slip restoration. Journal of Structural Geology 24, 773–82.Google Scholar
Hall, S. A. & Kendall, J.-M. 2003. Fracture characterization at Valhall: application of P-wave amplitude variation with offset and azimuth (AVOA) analysis to a 3D ocean bottom data set. Geophysics 68, 1150–60.CrossRefGoogle Scholar
Hall, S. A., Kendall, J. M. & Barkved, O. I. 2002. Fractured reservoir characterization using P-wave AVOA analysis of 3D OBC data. The Leading Edge 21, 1–7.Google Scholar
Hennings, P. H., Olson, J. E. & Thompson, L. B. 2000. Combining outcrop data and three-dimensional structural models to characterize fractured reservoirs. American Association of Petroleum Geologists Bulletin 84, 830–49.Google Scholar
Kane, S. J., Williams, G. D., Buddin, T. S., Egan, S. S. & Hodgetts, D. 1997. Flexural-slip based restoration in 3D, a new approach. American Association of Petroleum Geologists, Annual Convention Official Program, p. A58.Google Scholar
Lisle, R. J. 1994. Detection of zones of abnormal strains in structures using Gaussian curvature analysis. American Association of Petroleum Geologists Bulletin 78, 1016–21.Google Scholar
Lisle, R. J. 2000. Predicting patterns of strain from three-dimensional fold geometries: neutral surface folds and forced folds. In Forced Folds and Fractures (eds Cosgrove, J. W. & Ameen, M. S.), pp. 213–21. Geological Society of London, Special Publication no. 169.Google Scholar
Masaferro, J. Bulnes, L., Poblet, M. J. & Casson, M. 2003. Kinematic evolution and fracture prediction of the Valle Morado structure inferred from 3-D seismic data, Salta Province, northwest Argentina. American Association of Petroleum Geologists Bulletin 87, 1083–104.CrossRefGoogle Scholar
Motiei, H. 1994. Geology of Iran; Zagros Stratigraphy. Geological Survey of Iran Publications (in Farsi), 536 pp.Google Scholar
Mueller, M. 1992. Using shear waves to predict lateral variability in vertical fracture intensity. The Leading Edge 11, 29–35.Google Scholar
Olson, J. E. 2007. Fracture aperture, length and pattern geometry development under biaxial loading: a numerical study with applications to natural, cross-jointed systems. In The Relationship between Damage and Localization (eds Lewis, H. & Couples, G. D.), pp. 123–42. Geological Society of London, Special Publication no. 289.Google Scholar
Rijks, E. J. H. & Jauffred, J. C. E. M. 1991. Attribute extraction: an important application in any detailed 3-D interpretation study. The Leading Edge 10, 11–19.CrossRefGoogle Scholar
Setudehnia, A. 1978. The Mesozoic sequence in south-west Iran and adjacent areas. Journal of Petroleum Geology 1, 3–42.Google Scholar
Smart, K. J. 2009. Impact of interlayer slip on fracture prediction from geomechanical models of fault-related folds. American Association of Petroleum Geologists Bulletin 93, 1447–58.CrossRefGoogle Scholar
Stewart, S. A. & Podolski, R. 1998. Curvature analysis of gridded geological surfaces. In Structural Geology in Reservoir Characterization (eds Coward, M. P., Daltaban, T. S. & Johnson, H.), pp. 133–47. Geological Society of London, Special Publication no. 127.Google Scholar
Stocklin, J. 1974. Possible ancient continental margin in Iran. In Geology of Continental Margins (eds Burk, C. A. & Drake, C. L.), pp. 873–87. New York: Springer-Verlag.CrossRefGoogle Scholar
Wilkins, S. J. 2007. Fracture intensity from geomechanical models: application to the Blue Forest 3D survey, Green River Basin, Wyoming, U.S.A. In Structurally Complex Reservoirs (eds Jolley, S. J., Barr, D., Walsh, J. J. & Knipe, R. J.), pp. 137–57. Geological Society of London, Special Publication no. 292.Google Scholar