Electrofacies as a Tool for the Prediction of True Resistivity Using Advanced Statistical Methods—Case Study

Statistical analysis methods have been widely used in all industries. In well logs analyses, they from the very beginning to predict petrophysical parameters such as permeability and porosity or generate synthetic curves density sonic logs. Initially, were generated simple functions of other measurements. Then, a result popularisation algorithms k-nearest neighbours (k-NN) artificial neural networks (ANN), created based on this study, various industry general scientific programmes for statistical data analysis, treating individual sets, obtaining convergent results. The developed processing data, Multi-Resolution Graph-Based Clustering (MRGBC), commonly Kohonen self-organising maps (SOM), k-NN, ANN applied. use aforementioned statis-tical allows electrofacies determination prediction an Rt log recorded Correct resistivity measurements made with Dual Laterolog tool conditions Groningen effect is often problematic. applied calculation allow correct estimation tested well.