Machine Learning And Data Science in The Oil And Gas Industry

Machine Learning and Data Science in the Oil and Gas Industry: Best Practices, Tools, and Case Studies

Patrick Bangert, "Machine Learning and Data Science in the Oil and Gas Industry: Best Practices, Tools, and Case Studies"
English | 2021 | ISBN: 0128207140 | 306 pages | PDF | 6.8 MB

Schlumberger PIPESIM 2017.1  Software

Posted by scutter at Aug. 10, 2017
Schlumberger PIPESIM 2017.1

Schlumberger PIPESIM 2017.1 | 1.3 Gb

Schlumberger, the world's leading supplier of technology, integrated project management and information solutions to customers working in the oil and gas industry worldwide, has released an updated to PIPESIM 2017. The PIPESIM simulator is used to model well performance, conduct nodal analysis, design artificial lift systems, model pipeline networks and facilities, and develop field production plans.
Enhance Oil and Gas Exploration with Data-Driven Geophysical and Petrophysical Models

Enhance Oil and Gas Exploration with Data-Driven Geophysical
and Petrophysical Models

by Keith R. Holdaway and Duncan H. B. Irving
English | 2018 | ISBN: 1119215102 | 368 Pages | ePUB | 12 MB

30 Real World Data Science & Machine Learning Projects 2021  eBooks & eLearning

Posted by Sigha at Nov. 20, 2021
30 Real World Data Science & Machine Learning Projects 2021

30 Real World Data Science & Machine Learning Projects 2021
Video: .mp4 (1280x720, 30 fps(r)) | Audio: aac, 48000 Hz, 2ch | Size: 10.5 GB
Genre: eLearning Video | Duration: 174 lectures (19 hour, 29 mins) | Language: English

Practical Data Science Course: Learn To Build Machine Learning, Data Science Projects & Case Studies With Python

Artificial Intelligence and Data Analytics for Energy Exploration and Production  eBooks & eLearning

Posted by yoyoloit at Sept. 1, 2022
Artificial Intelligence and Data Analytics for Energy Exploration and Production

Artificial Intelligence and Data Analytics for Energy Exploration and Production
by Aminzadeh, Fred;Temizel, Cenk;Hajizadeh, Yasin;

English | 2022 | ISBN: ‎ 1119879698 | 610 pages | True PDF | 92.89 MB
Enhance Oil & GAS Exploration with Data-driven Geophysical and Petrophysical Models

Keith R. Holdaway and Duncan H. B. Irving, "Enhance Oil & GAS Exploration with Data-driven Geophysical and Petrophysical Models"
English | ISBN: 1119215102 | 2017 | 384 pages | PDF | 14 MB

Python Machine Learning for Beginners  eBooks & eLearning

Posted by arundhati at Oct. 26, 2020
Python Machine Learning for Beginners

AI Publishing, "Python Machine Learning for Beginners: Learning from Scratch Numpy, Pandas, Matplotlib, Seaborn, SKlearn and TensorFlow 2.0 for Machine Learning & Deep Learning- With Exercises and Hands-on Projects"
English | ASIN : B08LSLHBR8 | 2020 | 323 pages | EPUB | 10 MB

Intro To Big Data, Data Science And Artificial Intelligence  eBooks & eLearning

Posted by ELK1nG at Jan. 13, 2023
Intro To Big Data, Data Science And Artificial Intelligence

Intro To Big Data, Data Science And Artificial Intelligence
Last updated 12/2021
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 4.05 GB | Duration: 3h 28m

Big Data Technology & Tools for Non-Technical Leaders. Industry expert insights on IoT, AI and Machine Learning for all.

Data Management In Oil And Gas Industry  eBooks & eLearning

Posted by ELK1nG at March 31, 2023
Data Management In Oil And Gas Industry

Data Management In Oil And Gas Industry
Last updated 3/2023
MP4 | Video: h264, 1280x720 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.23 GB | Duration: 10h 13m

Implementation of modern data technologies in highly data intensive oil and gas industry
Python Machine Learning for Beginners: Learning from Scratch Numpy, Pandas, Matplotlib, Seaborn, ...

Python Machine Learning for Beginners: Learning from Scratch Numpy, Pandas, Matplotlib, Seaborn, SKlearn and TensorFlow 2.0 for Machine Learning & Deep
English | 2021 | ISBN: 9781801814805 | 301 pages | True ( PDF , EPUB , MOBI ) | 35 MB

Python Machine Learning for Beginners

Machine Learning (ML) and Artificial Intelligence (AI) are here to stay. Yes, that's right. Based on a significant amount of data and evidence, it's obvious that ML and AI are here to stay.