Mohamed A. Kassab, Ali E. Abbas, Ihab A. Osman, Ahmed A. Eid
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Reservoir rock typing for optimum permeability prediction of Nubia formation in October Field, Gulf of Suez, Egypt
Permeability prediction and distribution is very critical for reservoir modeling process. The conventional method for obtaining permeability data is from cores, which is a very costly method. Therefore, it is usual to pay attention to logs for calculating permeability where it has massive limitations regarding this step. The aim of this study is to use unique artificial intelligence (AI) algorithms to tackle this challenge and predict permeability in the studied wells using conventional logs and routine core analysis results of the core plugs as an input to predict the permeability in non-cored intervals using extreme gradient boosting algorithm (XGB). This led to promising results as per the R2 correlation coefficient. The R2 correlation coefficient between the predicted and actual permeability was 0.73 when using the porosity measured from core plugs and 0.51 when using the porosity calculated from logs. This study presents the use of machine-learning extreme gradient boosting algorithm in permeability prediction. To our knowledge, this algorithm has not been used in this formation and field before. In addition, the machine-learning model established is uniquely simple and convenient as only four commonly available logs are required as inputs, it even provides reliable results even if one of the required logs for input is synthesized due to its unavailability.
期刊介绍:
The Journal of Petroleum Exploration and Production Technology is an international open access journal that publishes original and review articles as well as book reviews on leading edge studies in the field of petroleum engineering, petroleum geology and exploration geophysics and the implementation of related technologies to the development and management of oil and gas reservoirs from their discovery through their entire production cycle.
Focusing on:
Reservoir characterization and modeling
Unconventional oil and gas reservoirs
Geophysics: Acquisition and near surface
Geophysics Modeling and Imaging
Geophysics: Interpretation
Geophysics: Processing
Production Engineering
Formation Evaluation
Reservoir Management
Petroleum Geology
Enhanced Recovery
Geomechanics
Drilling
Completions
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