UCS Prediction: A New Set of Concepts for Reservoir Geomechanical Modeling

Abdideh, Mohammad; Mahmoudi, N.

doi:10.1080/10916466.2011.580300

Cited by 4 publications

(1 citation statement)

References 2 publications

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“…The enormous up-front investments for developing heterogeneous fields and the desire to increase ultimate recovery have spurred oil companies to use innovative reservoir characterization techniques (Habibnia and Momeni 2012; Abdideh and Mahmoudi 2013). Geostatistics is one of many new technologies often incorporated into the process (Cressie and Hawkins 1980;Bueno et al 2011).…”

Section: Introductionmentioning

confidence: 99%

Thickness, porosity, and permeability prediction: comparative studies and application of the geostatistical modeling in an Oil field

et al. 2014

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Background: In this study, we applied the geostatistical modeling to analyze an oil field. The reservoir properties, thickness, porosity and permeability, were studied. Data analysis tools, such as histogram, scatter plot, variogram and cross variogram modeling, were employed to capture the interpretable spatial structure and provide the desired input parameters for further estimation. SK (simple kriging), OK (ordinary kriging), Sgism (Sequential Gaussian Simulation), SC (simple cokriging), OC (ordinary cokriging) and MM2 (Markov model 2) methods were applied to estimate reservoir properties. Estimation difference maps were generated to compare the results of each method, providing more straightforward realizations in a visual way.

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Section: Introductionmentioning

confidence: 99%