Machine learning in the oil and gas industry : including geosciences, reservoir engineering, and production engineering with Python

Machine learning in the oil and gas industry including geosciences, reservoir engineering, and production engineering with Python

Apply machine and deep learning to solve some of the challenges in the oil and gas industry. The book begins with a brief discussion of the oil and gas exploration and production life cycle in the context of data flow through the different stages of industry operations. This leads to a survey of som...

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Bibliographic Details
Other Authors: Pandey, Yogendra, author (author)
Format: eBook
Language:Inglés
Published: New York, New York State : APress [2020]
Edition:1st ed. 2020.
Subjects:
Machine learning.
Python.
Open Source.
See on Biblioteca Universitat Ramon Llull:https://discovery.url.edu/permalink/34CSUC_URL/1im36ta/alma991009631219406719
Table of Contents:
  • Chapter 1: Towards Oil and Gas 4.0
  • Chapter 2: Python Programming Primer
  • Chapter 3: Overview of Machine and Deep Learning Concepts
  • Chapter 4: Geophysics and Seismic Data Processing
  • Chapter 5: Geomodeling
  • Chapter 6: Reservoir Engineering
  • Chapter 7: Production Engineering
  • Chapter 8: Opportunities, Challenges, and Expected Future Trends.

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