Machine Learning for Subsurface Characterization
  • Release Date : 12 October 2019
  • Publisher : Gulf Professional Publishing
  • Genre : Science
  • Pages : 440 pages
  • ISBN 13 : 9780128177372
Ratings: 4
From 235 Voters
Get This Book

Download or read book entitled Machine Learning for Subsurface Characterization by author: Siddharth Misra which was release on 12 October 2019 and published by Gulf Professional Publishing with total page 440 pages . This book available in PDF, EPUB and Kindle Format. Machine Learning for Subsurface Characterization develops and applies neural networks, random forests, deep learning, unsupervised learning, Bayesian frameworks, and clustering methods for subsurface characterization. Machine learning (ML) focusses on developing computational methods/algorithms that learn to recognize patterns and quantify functional relationships by processing large data sets, also referred to as the "big data." Deep learning (DL) is a subset of machine learning that processes "big data" to construct numerous layers of abstraction to accomplish the learning task. DL methods do not require the manual step of extracting/engineering features; however, it requires us to provide large amounts of data along with high-performance computing to obtain reliable results in a timely manner. This reference helps the engineers, geophysicists, and geoscientists get familiar with data science and analytics terminology relevant to subsurface characterization and demonstrates the use of data-driven methods for outlier detection, geomechanical/electromagnetic characterization, image analysis, fluid saturation estimation, and pore-scale characterization in the subsurface. Learn from 13 practical case studies using field, laboratory, and simulation data Become knowledgeable with data science and analytics terminology relevant to subsurface characterization Learn frameworks, concepts, and methods important for the engineer’s and geoscientist’s toolbox needed to support

Characterization  Modeling  Monitoring  and Remediation of Fractured Rock

Characterization Modeling Monitoring and Remediation of Fractured Rock

Author : National Academies of Sciences, Engineering, and Medicine,Division on Earth and Life Studies,Board on Earth Sciences and Resources,Committee on Geological and Geotechnical Engineering,Committee on Subsurface Characterization, Modeling, Monitoring, and Remediation of Fractured Rock
Publisher : National Academies Press
Genre : Science
Get Book