1. Prediction of petrophysical properties using neural network technique for Mishrif reservoir-Southern of Iraq.
- Author
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Al Husseini, Ahmed K. and Hamd-Allah, Sameera M.
- Subjects
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STANDARD deviations , *GAMMA rays , *ROCK properties , *PERMEABILITY , *POROSITY - Abstract
Interpretations of petrophysical properties is essential step in reservoir studies to determine In-Oil-In-Place (IOIP) and predicting reservoir performance. In the present work, a Neural Network technique is used to determine porosity and permeability in un-cored wells and sections for Mishrif Formation-southern of Iraq. Mishrif Formation is a carbonate Formation which represents the most productive petroleum-producing reservoir in southern Iraq. However, carbonate systems are usually characterized by heterogeneities, facies variation, and particularly poorly relationships of porosity-permeability so it is widely stated that carbonate heterogeneities are poorly understood. In current work, the implementation of Neural Network technique (NNT) was to correct the porosity log data against actual data from core analysis as well as obtaining the respectable estimation for porosity (φ) and permeability (k) at un-cored sections and wells. The NNT is used as a profitable tool to train the data with several trials to detect the optimum solution for rock petrophysical properties. Thirteen wells are selected for this work. The permeability data is obtained from core data while the source of porosity data is core data besides the log data. The logs include; Gamma Ray (GR), Deep and shallow resistivity, bulk density (RHOB), neutron (NPHI) and sonic log (Δt). Furthermore, the simplification prospective of the developed application of neural network (ANN) model with selected wells was calculated by performance indicators: R2 coefficient, and Root Mean Square Error (RMSE). The outcomes achieved presented that φ has R2 of 0.9163, and RMSE of 0.0122, while k has R2 of 0.9955, and RMSE of 1.206. As a result, the established ANN model is a best recommended tool to forecast reservoir's porosity and permeability in the Mishrif reservoir/southern of Iraq. [ABSTRACT FROM AUTHOR]
- Published
- 2024
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