Advances In Subsurface Data Analytics

Download Advances In Subsurface Data Analytics full books in PDF, epub, and Kindle. Read online free Advances In Subsurface Data Analytics ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!

Advances in Subsurface Data Analytics

Advances in Subsurface Data Analytics
Author :
Publisher : Elsevier
Total Pages : 378
Release :
ISBN-10 : 9780128223086
ISBN-13 : 0128223081
Rating : 4/5 (081 Downloads)

Book Synopsis Advances in Subsurface Data Analytics by : Shuvajit Bhattacharya

Download or read book Advances in Subsurface Data Analytics written by Shuvajit Bhattacharya and published by Elsevier. This book was released on 2022-05-18 with total page 378 pages. Available in PDF, EPUB and Kindle. Book excerpt: Advances in Subsurface Data Analytics: Traditional and Physics-Based Approaches brings together the fundamentals of popular and emerging machine learning (ML) algorithms with their applications in subsurface analysis, including geology, geophysics, petrophysics, and reservoir engineering. The book is divided into four parts: traditional ML, deep learning, physics-based ML, and new directions, with an increasing level of diversity and complexity of topics. Each chapter focuses on one ML algorithm with a detailed workflow for a specific application in geosciences. Some chapters also compare the results from an algorithm with others to better equip the readers with different strategies to implement automated workflows for subsurface analysis. Advances in Subsurface Data Analytics: Traditional and Physics-Based Approaches will help researchers in academia and professional geoscientists working on the subsurface-related problems (oil and gas, geothermal, carbon sequestration, and seismology) at different scales to understand and appreciate current trends in ML approaches, their applications, advances and limitations, and future potential in geosciences by bringing together several contributions in a single volume. - Covers fundamentals of simple machine learning and deep learning algorithms, and physics-based approaches written by practitioners in academia and industry - Presents detailed case studies of individual machine learning algorithms and optimal strategies in subsurface characterization around the world - Offers an analysis of future trends in machine learning in geosciences


Advances in Subsurface Data Analytics Related Books

Advances in Subsurface Data Analytics
Language: en
Pages: 378
Authors: Shuvajit Bhattacharya
Categories: Science
Type: BOOK - Published: 2022-05-18 - Publisher: Elsevier

DOWNLOAD EBOOK

Advances in Subsurface Data Analytics: Traditional and Physics-Based Approaches brings together the fundamentals of popular and emerging machine learning (ML) a
Machine Learning for Subsurface Characterization
Language: en
Pages: 442
Authors: Siddharth Misra
Categories: Technology & Engineering
Type: BOOK - Published: 2019-10-12 - Publisher: Gulf Professional Publishing

DOWNLOAD EBOOK

Machine Learning for Subsurface Characterization develops and applies neural networks, random forests, deep learning, unsupervised learning, Bayesian frameworks
Data Analytics in Reservoir Engineering
Language: en
Pages: 108
Authors: Sathish Sankaran
Categories:
Type: BOOK - Published: 2020-10-29 - Publisher:

DOWNLOAD EBOOK

Data Analytics in Reservoir Engineering describes the relevance of data analytics for the oil and gas industry, with particular emphasis on reservoir engineerin
Artificial Intelligence for a More Sustainable Oil and Gas Industry and the Energy Transition
Language: en
Pages: 517
Authors: Mohammadali Ahmadi
Categories: Technology & Engineering
Type: BOOK - Published: 2024-07-13 - Publisher: Elsevier

DOWNLOAD EBOOK

Artificial Intelligence for a More Sustainable Oil and Gas Industry and the Energy Transition: Case Studies and Code Examples presents a package for academic re
Shale Analytics
Language: en
Pages: 292
Authors: Shahab D. Mohaghegh
Categories: Technology & Engineering
Type: BOOK - Published: 2017-02-09 - Publisher: Springer

DOWNLOAD EBOOK

This book describes the application of modern information technology to reservoir modeling and well management in shale. While covering Shale Analytics, it focu