A Primer on Machine Learning in Subsurface Geosciences

By:

Shuvajit Bhattacharya

Format:

Paperback / softback

Series:

Springerbriefs in Petroleum Geoscience & Engineering

Show Hide Adult Content

$172.99

Available from supplier

Usually ships in 3-4 weeks

0 in Trolley

Price Match

Buy Now, Pay Later with:

4 payments of $43.25 with Afterpay Learn more

Availability

Delivering to:

Estimated arrival:

Around 11-21 June using International Courier

Description

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.

Author Biography:

Dr. Shuvajit Bhattacharya is a researcher at the Bureau of Economic Geology, the University of Texas at Austin. He is an applied geophysicist/petrophysicist specializing in seismic interpretation, petrophysical modeling, machine learning, and integrated subsurface characterization. He uses advanced computational technologies to solve complex problems in geosciences, which have societal and economic impacts. Dr. Bhattacharya has completed several projects in diverse geologic settings in the US, Norway, Australia, South Africa, and India. He worked in both academia and industry. He has published and presented more than 50 technical articles in peer-reviewed journals and conferences. His current research focuses on the pressing issues and frontier technologies in energy exploration, development, and subsurface fluid storage (carbon, hydrogen, and wastewater). He completed his Ph.D. at West Virginia University and an M.Sc. at the Indian Institute of Technology Bombay.

Release date Australia

May 4th, 2021

Author

Shuvajit Bhattacharya

Audience

Professional & Vocational

Edition

1st ed. 2021

Illustrations

118 Illustrations, color; 12 Illustrations, black and white; XVII, 172 p. 130 illus., 118 illus. in color.

Pages

172

Series

Springerbriefs in Petroleum Geoscience & Engineering

ISBN-13

9783030717674

Product ID

34633855

Customer reviews

Nobody has reviewed this product yet. You could be the first!

Write a Review

Marketplace listings

There are no Marketplace listings available for this product currently.
Already own it? Create a free listing and pay just 9% commission when it sells!

Sell Yours Here

Get free delivery, exclusive deals, and more^*

Travel Books:

A Primer on Machine Learning in Subsurface Geosciences

By:

Format:

Series:

Buy Now, Pay Later with:

Availability

Description

Author Biography:

Customer reviews

Marketplace listings

Help & options

Filed under...

Get free delivery, exclusive deals, and more*

Buy Now, Pay Later with:

Author Biography:

Get free delivery, exclusive deals, and more^*