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Ninth International Geostatistics Congress, Oslo, Norway
June 11 – 15, 2012 |
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Session: |
Petroleum 3 |
Abstract No.: |
O-046 |
Title: |
Ranking geostatistical reservoir models with modified connected hydrocarbon volume |
Author(s): |
S.H. li, yangtze university (CN)
C.V. Deutsch, university of alberta (CA)
J.H. Shi, shengli oilfield company (CN)
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Abstract: |
A large number of realizations can be created relatively quickly with geostatistical tools. Flow simulation of all the realizations is challenging because of computational time requirements. Often, a limited number must be selected for input to flow simulation. Selecting the first realization or selecting them randomly may lead to unusual low or high results and does not permit an assessment of uncertainty. The realizations are ranked according to some simple measure that (ideally) is highly correlated to the flow response variables of interest. A new static ranking measure of quality Qs is proposed. This measure is the hydrocarbon volume connected to the well locations and modified by additional factors. The modifying factors include the distance from each cell to the nearest production well and the geometric average of the cells between the cell and the nearest production well. A program is presented to calculate Qs from three-dimensional realizations of cell volume, porosity, permeability and water saturation. A small example shows how the program works. |
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Copyright 2012 International Geostatistics Congress
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