The application of improved NeuroEvolution of Augmenting Topologies neural network in Marcellus Shale lithofacies prediction

• Published in: Computers & geosciences Vol. 54; pp. 50 - 65
• Main Authors: Wang, Guochang, Cheng, Guojian, Carr, Timothy R.
• Format: Journal Article
• Language: English
• Published: Elsevier Ltd 01.04.2013
• Subjects: basins; computer hardware; computers; environmental engineering; genes; Lithofacies prediction; Marcellus Shale; mineral content; NEAT; neural networks; Node location; organic matter; Organism population size evolution; population size; prediction; RCC; shale; RCC; Node location; Lithofacies prediction; NEAT; Organism population size evolution; Marcellus Shale

The organic-rich Marcellus Shale was deposited in a foreland basin during Middle Devonian. In terms of mineral composition and organic matter richness, we define seven mudrock lithofacies: three organic-rich lithofacies and four organic-poor lithofacies. The 3D lithofacies model is very helpful to d...