Publication Name: Australasian Exploration Geoscience Conference 2019
Authors: Russell Menezes*
Date Published: September 2019
Number of Pages: 3
Abstract:
Total Organic Content (TOC), one of the most important parameters for sweet spot mapping of unconventional plays is estimated using a RockEval Pyrolysis technique. This process being expensive and time-consuming, the sampling rate per well is very low. In this paper, we use Machine Learning to develop a model that can use conventional wireline logs to estimate TOC data. This model is based on wells in the Canning Basin, Western Australia.