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- W4386071314 abstract "The purpose of this work is to create an artificial neural network (ANN) software tool in MATLAB that will enable Sonatrach's well-logging interpreter to automatically classify lithofacies into six categories: clay, anhydrite, dolomite, limestone, sandstone, and salt. This automatic classification will be more accurate than manual recognition using industrial software. In order to implement this technique, the relevant curves (Gama ray, bulk density rhob, neutron porosity nphi, sonic curve dt, and photoelectric factor curve PE) are available. The created algorithm is applied to eleven wells data from Haoud Berkaoui in the Algerian Sahara. For Sonatrach interpreters, a graphical user interface (GUI) is created to make it easier to use the method." @default.
- W4386071314 created "2023-08-23" @default.
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- W4386071314 date "2023-07-31" @default.
- W4386071314 modified "2023-09-25" @default.
- W4386071314 title "Recognition of Lithology Automatically Utilizing a New Artificial Neural Network Algorithm" @default.
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- W4386071314 doi "https://doi.org/10.1002/9781119389385.ch8" @default.
- W4386071314 hasPublicationYear "2023" @default.
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