SPWLA 60th Annual Logging Symposium
15-19 June 2019, The Woodlands, Texas, USA
Number of conference papers: 114
Day 2
18 June 2019
Session 5: Machine Learning
Reservoir characterization methods that use core or other database inputs and outputs to train model-independent mapping functions for predicting reservoir properties from well logging data (supervised learning) or methods that use pattern recognition or clustering algorithms for quality control of data and/or extraction of useful reservoir information (unsupervised learning).
