Title: An Integrated Model for Characterizing Heterogeneous Carbonate Reservoirs
Abstract: Raising the world's demand for energy accompanied by decrease in the ease of oil exploration and<br>production, has forced the oil industry to investigate novel and advanced techniques for different<br>stages of providing the energy; from early stages of oil exploration to increasing the production from<br>oil reservoirs by secondary or tertiary recovery.<br>A critical phase that plays an important role in simulating oil reservoirs and therefore managing the<br>different field's development plans is reservoir characterization. Poor reservoir characterization may<br>lead to implementation incorrect methods in field development and reservoir management and cause<br>losing unrecoverable sources and costs.<br>Characterization of carbonate rocks is a vital process, because carbonate systems constitute more than<br>half of the oil reservoirs of the world and also most of the reservoirs in the Middle East. On the other<br>hand heterogeneity is a problem that causes these types of reservoirs not to obey from general rules<br>and formula.<br>Due to the need for a comprehensive model for characterizing carbonate reservoirs, a very extensive<br>integrated study of all the methods available for different stages of a reservoir characterization process<br>(reservoir rock typing, rock type prediction, saturation distribution and modeling, dynamic reservoir<br>characterization, absolute permeability and relative permeability prediction) is done in this paper. For<br>providing the best model, geophysical and petrophysical approaches are taken into consideration and<br>are discussed in detail and the best combination and integration of them is presented as a<br>comprehensive model for characterizing heterogeneous carbonate reservoirs.<br>Then using conventional core and different wireline logs and also seismic data, this model is used to<br>characterize numbers of carbonate oil reservoirs of Sarvak formation of Iran.<br>Applying this model can save time of characterizing carbonate reservoirs and lead to best images of<br>petrophysical properties of reservoir rocks and the most accurate reservoir simulation models.
Publication Year: 2010
Publication Date: 2010-01-01
Language: en
Type: article
Indexed In: ['crossref']
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