Machine Learning and Data Science in the Oil and Gas Industry

Written By Patrick Bangert
Machine Learning and Data Science in the Oil and Gas Industry
  • Publsiher : Gulf Professional Publishing
  • Release : 04 March 2021
  • ISBN : 0128209143
  • Pages : 306 pages
  • Rating : /5 from reviews
GET THIS BOOKMachine Learning and Data Science in the Oil and Gas Industry


Download or read book entitled Machine Learning and Data Science in the Oil and Gas Industry by author: Patrick Bangert which was release on 04 March 2021 and published by Gulf Professional Publishing with total page 306 pages . This book available in PDF, EPUB and Kindle Format. Machine Learning and Data Science in the Oil and Gas Industry explains how machine learning can be specifically tailored to oil and gas use cases. Petroleum engineers will learn when to use machine learning, how it is already used in oil and gas operations, and how to manage the data stream moving forward. Practical in its approach, the book explains all aspects of a data science or machine learning project, including the managerial parts of it that are so often the cause for failure. Several real-life case studies round out the book with topics such as predictive maintenance, soft sensing, and forecasting. Viewed as a guide book, this manual will lead a practitioner through the journey of a data science project in the oil and gas industry circumventing the pitfalls and articulating the business value. Chart an overview of the techniques and tools of machine learning including all the non-technological aspects necessary to be successful Gain practical understanding of machine learning used in oil and gas operations through contributed case studies Learn change management skills that will help gain confidence in pursuing the technology Understand the workflow of a full-scale project and where machine learning benefits (and where it does not)

Machine Learning and Data Science in the Oil and Gas Industry

Machine Learning and Data Science in the Oil and Gas Industry
  • Author : Patrick Bangert
  • Publisher : Gulf Professional Publishing
  • Release Date : 2021-03-04
  • Total pages : 306
  • ISBN : 0128209143
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Summary : Machine Learning and Data Science in the Oil and Gas Industry explains how machine learning can be specifically tailored to oil and gas use cases. Petroleum engineers will learn when to use machine learning, how it is already used in oil and gas operations, and how to manage the data ...

Machine Learning in the Oil and Gas Industry

Machine Learning in the Oil and Gas Industry
  • Author : Yogendra Narayan Pandey,Ayush Rastogi,Sribharath Kainkaryam,Srimoyee Bhattacharya,Luigi Saputelli
  • Publisher : Apress
  • Release Date : 2020-11-03
  • Total pages : 300
  • ISBN : 0128209143
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Summary : 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 ...

Modern Data Analytics

Modern Data Analytics
  • Author : Tatyana Plaksina
  • Publisher : Unknown
  • Release Date : 2019
  • Total pages : 72
  • ISBN : 0128209143
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Summary : Read online Modern Data Analytics written by Tatyana Plaksina, published by which was released on 2019. Download full Modern Data Analytics Books now! Available in PDF, ePub and Kindle....

Applications of Artificial Intelligence Techniques in the Petroleum Industry

Applications of Artificial Intelligence Techniques in the Petroleum Industry
  • Author : Abdolhossein Hemmati Sarapardeh,Aydin Larestani,Nait Amar Menad,Sassan Hajirezaie
  • Publisher : Gulf Professional Publishing
  • Release Date : 2020-08-26
  • Total pages : 322
  • ISBN : 0128209143
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Summary : Applications of Artificial Intelligence Techniques in the Petroleum Industry gives engineers a critical resource to help them understand the machine learning that will solve specific engineering challenges. The reference begins with fundamentals, covering preprocessing of data, types of intelligent models, and training and optimization algorithms. The book moves on to ...

Machine Learning and Data Science in the Power Generation Industry

Machine Learning and Data Science in the Power Generation Industry
  • Author : Patrick Bangert
  • Publisher : Elsevier
  • Release Date : 2021-01-25
  • Total pages : 274
  • ISBN : 0128209143
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Summary : Machine Learning and Data Science in the Power Generation Industry explores current best practices and quantifies the value-add in developing data-oriented computational programs in the power industry, with a particular focus on thoughtfully chosen real-world case studies. It provides a set of realistic pathways for organizations seeking to develop machine ...

Data Analytics in Reservoir Engineering

Data Analytics in Reservoir Engineering
  • Author : Sathish Sankaran,Sebastien Matringe,Mohamed Sidahmed
  • Publisher : Unknown
  • Release Date : 2020-10-29
  • Total pages : 108
  • ISBN : 0128209143
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Summary : Data Analytics in Reservoir Engineering describes the relevance of data analytics for the oil and gas industry, with particular emphasis on reservoir engineering....

Intelligent Digital Oil and Gas Fields

Intelligent Digital Oil and Gas Fields
  • Author : Gustavo Carvajal,Marko Maucec,Stan Cullick
  • Publisher : Gulf Professional Publishing
  • Release Date : 2017-12-14
  • Total pages : 374
  • ISBN : 0128209143
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Summary : Intelligent Digital Oil and Gas Fields: Concepts, Collaboration, and Right-time Decisions delivers to the reader a roadmap through the fast-paced changes in the digital oil field landscape of technology in the form of new sensors, well mechanics such as downhole valves, data analytics and models for dealing with a barrage ...

Reducing Risk in the Petroleum Industry

Reducing Risk in the Petroleum Industry
  • Author : Naveen Viswanath
  • Publisher : Unknown
  • Release Date : 2016
  • Total pages : 212
  • ISBN : 0128209143
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Summary : Read online Reducing Risk in the Petroleum Industry written by Naveen Viswanath, published by which was released on 2016. Download full Reducing Risk in the Petroleum Industry Books now! Available in PDF, ePub and Kindle....

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

Enhance Oil and Gas Exploration with Data Driven Geophysical and Petrophysical Models
  • Author : Keith R. Holdaway,Duncan H. B. Irving
  • Publisher : John Wiley & Sons
  • Release Date : 2017-10-04
  • Total pages : 368
  • ISBN : 0128209143
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Summary : Leverage Big Data analytics methodologies to add value to geophysical and petrophysical exploration data Enhance Oil & Gas Exploration with Data-Driven Geophysical and Petrophysical Models demonstrates a new approach to geophysics and petrophysics data analysis using the latest methods drawn from Big Data. Written by two geophysicists with a combined 30 years ...

Advances in Analytics and Applications

Advances in Analytics and Applications
  • Author : Arnab Kumar Laha
  • Publisher : Springer
  • Release Date : 2018-09-07
  • Total pages : 297
  • ISBN : 0128209143
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Summary : This book includes selected papers submitted to the ICADABAI-2017 conference, offering an overview of the new methodologies and presenting innovative applications that are of interest to both academicians and practitioners working in the area of analytics. It discusses predictive analytics applications, machine learning applications, human resource analytics, operations analytics, analytics ...

MACHINE LEARNING WITH PYTHON

MACHINE LEARNING WITH PYTHON
  • Author : Abhishek Vijayvargia
  • Publisher : BPB Publications
  • Release Date : 2018-06-02
  • Total pages : 266
  • ISBN : 0128209143
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Summary : DescriptionThis book provides the concept of machine learning with mathematical explanation and programming examples. Every chapter starts with fundamentals of the technique and working example on the real-world dataset. Along with the advice on applying algorithms, each technique is provided with advantages and disadvantages on the data.In this book ...

Data Analytics in the Era of the Industrial Internet of Things

Data Analytics in the Era of the Industrial Internet of Things
  • Author : Aldo Dagnino
  • Publisher : Springer
  • Release Date : 2021-02-16
  • Total pages : 129
  • ISBN : 0128209143
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Summary : This book presents the characteristics and benefits industrial organizations can reap from the Industrial Internet of Things (IIoT). These characteristics and benefits include enhanced competitiveness, increased proactive decision-making, improved creativity and innovation, augmented job creation, heightened agility to respond to continuously changing challenges, and intensified data-driven decision making. In a ...

Data Driven Analytics for the Geological Storage of CO2

Data Driven Analytics for the Geological Storage of CO2
  • Author : Shahab Mohaghegh
  • Publisher : CRC Press
  • Release Date : 2018-05-20
  • Total pages : 282
  • ISBN : 0128209143
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Summary : Data driven analytics is enjoying unprecedented popularity among oil and gas professionals. Many reservoir engineering problems associated with geological storage of CO2 require the development of numerical reservoir simulation models. This book is the first to examine the contribution of Artificial Intelligence and Machine Learning in data driven analytics of ...

Quantitative Geosciences Data Analytics Geostatistics Reservoir Characterization and Modeling

Quantitative Geosciences  Data Analytics  Geostatistics  Reservoir Characterization and Modeling
  • Author : Y. Z. Ma
  • Publisher : Springer
  • Release Date : 2019-07-15
  • Total pages : 640
  • ISBN : 0128209143
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Summary : Earth science is becoming increasingly quantitative in the digital age. Quantification of geoscience and engineering problems underpins many of the applications of big data and artificial intelligence. This book presents quantitative geosciences in three parts. Part 1 presents data analytics using probability, statistical and machine-learning methods. Part 2 covers reservoir characterization using ...

Transactional Machine Learning with Data Streams and AutoML

Transactional Machine Learning with Data Streams and AutoML
  • Author : Sebastian Maurice
  • Publisher : Apress
  • Release Date : 2021-05-20
  • Total pages : 276
  • ISBN : 0128209143
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Summary : Understand how to apply auto machine learning to data streams and create transactional machine learning (TML) solutions that are frictionless (require minimal to no human intervention) and elastic (machine learning solutions that can scale up or down by controlling the number of data streams, algorithms, and users of the insights). ...