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AAPG Bulletin, Vol. 90 (2006), Program Abstracts (Digital)

7th Middle East Geosciences Conference and Exhibition
Manama, Bahrain
March 27-29, 2006

ABSTRACT: Previous HitReservoirNext Hit Characterization and Stochastic Modeling of the 2nd Eocene Dolomite Previous HitReservoirNext Hit, Wafra Field, Divided Zone, Kuwait-Saudi Arabia

Mohamad Rafiq Wani and Sondos Khalil Al-Kabli
Divided Zone Group, Kuwait Gulf Oil Company, PTC Complex, KOC, Ahmadi, Kuwait, 61008, Kuwait, phone: (+965) 6854920, fax: (+965) 3986598, [email protected]

The Wafra 2nd Eocene Reservoirs are dolomitized carbonates associated with anhydrite deposited under shallow sub -tidal to subkha environments. These are characterized by high porosity and permeability, mainly due to vugs formed by enhancement of the predominantly intercrystalline porosity by leaching and dissolution. This vug dominated heteroloithic pore system cuts across the depositional fabric that has largely been obliterated by dolomitization.

A relatively simple method of porosity modeling, using zonation based on high frequency cycles (HFCs) has been attempted with good results. Based on core petrographic and electrolog studies, the Previous HitreservoirNext Hit has been divided into 8 HFCs, further divisible into 14 ‘zones'. Porosity Previous HitdistributionNext Hit is closely related to this HFC based zonation. Core porosities show a decreasing upward trend between successive HFCs and the lower zone of each HFC has a higher porosity than the upper. Mostly the vugs are localized to zones overlying the tighter, anhydrite rich crusts of the respective lower HFC.

The paper describes stochastic modeling of the Previous HitreservoirNext Hit properties and their Previous HitdistributionNext Hit in a high resolution 3D grid of nearly 10 million cells covering an area of about 350km2 and average thickness of 500 feet. Vertically the grid was divided into 14 stratigraphic layers based on the subdivision of the 8 HFCs. Porosity was distributed by sequential Gaussian simulation, constrained by semivariogram models generated for each stratigraphic layer. Permeability was distributed by applying powerlog porosity – permeability transforms developed for each stratigraphic layer from core data. Previous HitWaterNext Hit Previous HitsaturationNext Hit Previous HitdistributionNext Hit was further constrained by the model porosity Previous HitdistributionNext Hit and the oil Previous HitwaterTop transition zone.

 

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