Neural network application to petrophysical and lithofacies analysis based on multi-scale data: An integrated study using conventional well log, core and borehole …
AA Shehata, OA Osman, BS Nabawy - Journal of natural gas science and …, 2021 - Elsevier
Application of artificial neural network (ANN, eg, Multi-layer perceptron, MLP) became
widespread in the petroleum industry, especially in formation evaluation, reservoir …
widespread in the petroleum industry, especially in formation evaluation, reservoir …
Comparative analysis between different artificial based models for predicting static Poisson's ratio of sandstone formations
A Gowida, S Elkatatny, T Moussa - International petroleum technology …, 2020 - onepetro.org
The mechanical behavior of the rocks can greatly assist in optimizing the drilling operation
and well completion design. This behavior can be expressed in terms of Young's modulus …
and well completion design. This behavior can be expressed in terms of Young's modulus …
Development of an Artificial Neural Network Model to Calculate Static Young's Modulus Based on a Log-derived Data Base
Static Young's Modulus is a measure of reservoir rock stiffness and is best determined by
experimental studies on cores. However, the experimental procedures are demanding with …
experimental studies on cores. However, the experimental procedures are demanding with …