Rock physics-based analysis to discriminate lithology and pore fluid saturation of carbonate reservoirs: a case study
Makarian E. Elyasi A. Moghadam R.H. Khoramian R. Namazifard P.
October 2023Springer Science and Business Media Deutschland GmbH
Acta Geophysica
2023#71Issue 52163 - 2180 pp.
Rock physics templates (RPT) and modeling contribute significantly to accurately and fast characterization of hydrocarbon reservoirs. This study strives to characterize lithology and pore fluid saturation for a carbonate reservoir in southwest Iran using RPT by well-logging data in a zone with a thickness of almost 100 m. To discriminate lithology, Greenberg–Castagna and Gardner models were applied. Also, velocity ratio—Gamma-ray (GR) and density—GR templates were implemented to investigate more. Results show that the researched zone’s lithology consists of a considerable amount of limestone, followed by dolomite, and a small amount of shale, without sandstone, which matches excellently with the lithology column and geophysical logs. For fluid discrimination, two different rock physical directions were impalement. Firstly, the rock physics model of the study area was built through Xu and Payne’s model. Then, velocity ratio—acoustic impedance template (VP/VS–AI) was applied to modeled data scaled with resistivity and porosity and then successfully validated with oil and water saturation. Findings show that PRT organizes data concerning similar features (here, aspect ratio), causing easy, fast, and more accurate analysis, and fluid content in the study includes oil and water, which the figure for oil is much more. In different oil and water saturation, non-modeled data were investigated through VP/VS − VS, VS − VP, and shear impudence (SI)—AI template supported by pore-pressure (PP) information to further research fluid distribution and its effect in the second direction. Regarding the rock physical analysis, the main reason for the decrease in seismic velocities and impedances is high pore pressure due to high oil saturation.
Carbonate reservoir , Fluid discrimination , Gardner model , Greenberg and Castagna model , Lithology identification , Rock physics
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Department of Mining Engineering, Sahand University of Technology, Tabriz, Iran
CAPE Consultant Group, Tehran, Iran
Department of Petroleum Engineering, Nazarbayev University, Nur-Sultan, Kazakhstan
Department of Mining Engineering
CAPE Consultant Group
Department of Petroleum Engineering
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