New correlations to predict fracture conductivity based on the formation lithology |
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| Authors: | Yaser Motamedi-Ghahfarokhi Mohammadreza Akbari Maysam Pournik |
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| Affiliation: | 1. Faculty of Petroleum Engineering, Amirkabir University of Technology, Tehran, Iran;2. Mewbourne School of Petroleum &3. Geological Engineering, University of Oklahoma, Norman, OK, USA |
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| Abstract: | Acid fracturing is one of the most important well stimulation methods. Acid fracture conductivity, which represents the available capacity of the fluid pass in fractures, is one the main parameters for designing acid fracturing process. The volume of dissolved rock, rock strength, and closure stress on the fracture are the effective parameters on the acid fracturing conductivity. In this study, regarding above parameters and formation lithology, Genetic Algorithm was used to develop a robust intelligent model to estimate the fracture conductivity by considering experimental data of different formations. Results showed that formation lithology plays a considerable role in fracture conductivity prediction. |
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| Keywords: | Acid fracture conductivity acid fracturing formation lithology fracture conductivity correlations genetic algorithms well stimulation |
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