Importance

Loading Importance Indicators...

Abstract

Systems and methods include a computer-implemented method for predicting depositional environments in regional geology using wireline logs, core interpretation, and machine learning algorithms. Data preprocessing is performed on core data and wireline data received from wells that have been drilled to generate pre-processed core and wireline data. The pre-processed core and wireline data are split into a training dataset and at least one testing dataset. A model is generated using the pre-processed core and wireline data, and models relationships between core-based depositional settings and wireline logs for the wells. Feature engineering is performed on the pre-processed core and wireline data to identify significant features that contribute to the model. The model is trained using the training dataset and by weighting the significant features. The model is evaluated using machine learning on the testing dataset. Depositional settings are predicted using the model and results of the evaluating.

Loading the Abstract Image...

First Claim