Applications: Step-by-step guide#

These examples show a step-by-step guide for computing the DC-parameters, the mixture learning strategy to predict the permeability coefficient \(k\) and restoring tensors via the modules watex.methods and watex.utils.hydroutils. The feature analyses and visualization are performed using the watex.view module. The datasets explanation can be found in watex.datasets.

Auto-detect the drilling location

Auto-detect the drilling location

Data exploratory: Quick view

Data exploratory: Quick view

EM, DC, and Hydro parameters computing

EM, DC, and Hydro parameters computing

K-Means Featurization

K-Means Featurization

NSAMT tensors recovery

NSAMT tensors recovery

Predict FR from DC-Resistivity data

Predict FR from DC-Resistivity data

Restoring tensor with noised AMT data

Restoring tensor with noised AMT data

k-prediction from MXS: step-by-step guide

k-prediction from MXS: step-by-step guide