A Primer on Machine Learning in Subsurface Geosciences

A Primer on Machine Learning in Subsurface Geosciences
Author :
Publisher : Springer Nature
Total Pages : 182
Release :
ISBN-10 : 9783030717681
ISBN-13 : 3030717682
Rating : 4/5 (81 Downloads)

Book Synopsis A Primer on Machine Learning in Subsurface Geosciences by : Shuvajit Bhattacharya

Download or read book A Primer on Machine Learning in Subsurface Geosciences written by Shuvajit Bhattacharya and published by Springer Nature. This book was released on 2021-05-03 with total page 182 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides readers with a timely review and discussion of the success, promise, and perils of machine learning in geosciences. It explores the fundamentals of data science and machine learning, and how their advances have disrupted the traditional workflows used in the industry and academia, including geology, geophysics, petrophysics, geomechanics, and geochemistry. It then presents the real-world applications and explains that, while this disruption has affected the top-level executives, geoscientists as well as field operators in the industry and academia, machine learning will ultimately benefit these users. The book is written by a practitioner of machine learning and statistics, keeping geoscientists in mind. It highlights the need to go beyond concepts covered in STAT 101 courses and embrace new computational tools to solve complex problems in geosciences. It also offers practitioners, researchers, and academics insights into how to identify, develop, deploy, and recommend fit-for-purpose machine learning models to solve real-world problems in subsurface geosciences.


A Primer on Machine Learning in Subsurface Geosciences Related Books

A Primer on Machine Learning in Subsurface Geosciences
Language: en
Pages: 182
Authors: Shuvajit Bhattacharya
Categories: Technology & Engineering
Type: BOOK - Published: 2021-05-03 - Publisher: Springer Nature

DOWNLOAD EBOOK

This book provides readers with a timely review and discussion of the success, promise, and perils of machine learning in geosciences. It explores the fundament
Machine Learning Applications in Subsurface Energy Resource Management
Language: en
Pages: 388
Authors: Srikanta Mishra
Categories: Technology & Engineering
Type: BOOK - Published: 2022-12-27 - Publisher: CRC Press

DOWNLOAD EBOOK

The utilization of machine learning (ML) techniques to understand hidden patterns and build data-driven predictive models from complex multivariate datasets is
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
Encyclopedia of Mathematical Geosciences
Language: en
Pages: 1744
Authors: B. S. Daya Sagar
Categories: Science
Type: BOOK - Published: 2023-07-13 - Publisher: Springer Nature

DOWNLOAD EBOOK

The Encyclopedia of Mathematical Geosciences is a complete and authoritative reference work. It provides concise explanation on each term that is related to Mat
Machine Learning and Artificial Intelligence in Geosciences
Language: en
Pages: 318
Authors:
Categories: Science
Type: BOOK - Published: 2020-09-22 - Publisher: Academic Press

DOWNLOAD EBOOK

Advances in Geophysics, Volume 61 - Machine Learning and Artificial Intelligence in Geosciences, the latest release in this highly-respected publication in the