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Understanding the fracture role on hydrocarbon accumulation and distribution using seismic data: A case study on a carbonate reservoir from Iran
Uppsala University, Disciplinary Domain of Science and Technology, Earth Sciences, Department of Earth Sciences, Geophysics.
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2013 (English)In: Journal of Applied Geophysics, ISSN 0926-9851, E-ISSN 1879-1859, Vol. 96, 98-106 p.Article in journal (Refereed) Published
Abstract [en]

The South Pars, the largest gas field in the world, is located in the Persian Gulf. Structurally, the field is part of the Qatar-South Pars arch which is a regional anticline considered as a basement-cored structure with long lasting passive folding induced by salt withdrawal. The gas-bearing reservoir belongs to Kangan and Dalan formations dominated by carbonate rocks. The fracture role is still unknown in gas accumulation and distribution in this reservoir. In this paper, the Scattering Index (SI) and the semblance methods based on scattered waves and diffraction signal studies, respectively, were used to delineate the fracture locations. To find the relation between fractures and gas distribution, desired facies containing the gas, were defined and predicted using a method based on Bayesian facies estimation. The analysis and combination of these results suggest that preference of fractures and/or fractured zones are negligible (about 1% of the total volume studied in this paper) and, therefore, it is hard to conceive that they play an important role in this reservoir. Moreover, fractures have no considerable role in gas distribution (less than 30%). It can be concluded from this study that sedimentary processes such as digenetic, primary porosities and secondary porosities are responsible for the gas accumulation and distribution in this reservoir.

Place, publisher, year, edition, pages
2013. Vol. 96, 98-106 p.
Keyword [en]
Fracture detection, Scattered wave, Diffraction, Bayesian facies estimation
National Category
Natural Sciences
Identifiers
URN: urn:nbn:se:uu:diva-208652DOI: 10.1016/j.jappgeo.2013.06.015ISI: 000324357200012OAI: oai:DiVA.org:uu-208652DiVA: diva2:654008
Available from: 2013-10-07 Created: 2013-10-07 Last updated: 2017-12-06Bibliographically approved

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Malehmir, Alireza

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