A Reservoir Rock Porosity Estimation through Image Analysis and Fuzzy Logic Techniques
| Autor: | Mansur Ziaii, Ali Kadkhodaie, Javad Honarmand, Javad Ghiasi-Freez |
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| Rok vydání: | 2014 |
| Předmět: | |
| Zdroj: | Energy Sources, Part A: Recovery, Utilization, and Environmental Effects. 36:1276-1284 |
| ISSN: | 1556-7230 1556-7036 |
| Popis: | Petrophysical properties of petroleum reservoir rocks are usually obtained by laborious core laboratory measurements. The present study investigates the capability of petrographic image analysis applied on thin sections of reservoir rock and fuzzy logic for predicting porosity in carbonate rocks. The proposed methodology comprises two steps: first, the petrographic parameters, including porosity type, grain size, mean geometrical shape coefficient of grains, and texture type, were extracted for each thin section based on image analysis techniques. Consequently, the petrographic parameters were formulated to core porosity using a Takagi and Sugeno fuzzy inference system. Petrographic image analysis is an emerging technology, which provides fast and accurate quantitative evaluation from reservoir rock. The results of single petrographic image analysis showed inaccurate estimation of total porosity in all rocks except those that have an extremely isotropic pore structure. A quantitative evaluation of thin se... |
| Databáze: | OpenAIRE |
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