Machine Learning in the Oil and Gas Industry

Written By Yogendra Narayan Pandey
Machine Learning in the Oil and Gas Industry
  • Publsiher : Apress
  • Release : 03 November 2020
  • ISBN : 9781484260937
  • Pages : 300 pages
  • Rating : 4/5 from 21 reviews
GET THIS BOOKMachine Learning in the Oil and Gas Industry


Read or download book entitled Machine Learning in the Oil and Gas Industry written by Yogendra Narayan Pandey which was release on 03 November 2020, this book published by Apress. Available in PDF, EPUB and Kindle Format. Book excerpt: 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 some interesting problems, which are good candidates for applying machine and deep learning approaches. The initial chapters provide a primer on the Python programming language used for implementing the algorithms; this is followed by an overview of supervised and unsupervised machine learning concepts. The authors provide industry examples using open source data sets along with practical explanations of the algorithms, without diving too deep into the theoretical aspects of the algorithms employed. Machine Learning in the Oil and Gas Industry covers problems encompassing diverse industry topics, including geophysics (seismic interpretation), geological modeling, reservoir engineering, and production engineering. Throughout the book, the emphasis is on providing a practical approach with step-by-step explanations and code examples for implementing machine and deep learning algorithms for solving real-life problems in the oil and gas industry. What You Will Learn Understanding the end-to-end industry life cycle and flow of data in the industrial operations of the oil and gas industry Get the basic concepts of computer programming and machine and deep learning required for implementing the algorithms used Study interesting industry problems that are good candidates for being solved by machine and deep learning Discover the practical considerations and challenges for executing machine and deep learning projects in the oil and gas industry Who This Book Is For Professionals in the oil and gas industry who can benefit from a practical understanding of the machine and deep learning approach to solving real-life problems.

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 : 9781484260937
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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 ...

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  • Publisher : Gulf Professional Publishing
  • Release Date : 2021-04-09
  • Total pages : 476
  • ISBN : 9781484260937
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Summary : Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications delivers a critical training and resource tool to help engineers understand machine learning theory and practice, specifically referencing use cases in oil and gas. The reference moves from explaining how Python works ...

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  • Publisher : BPB Publications
  • Release Date : 2021-05-07
  • Total pages : 134
  • ISBN : 9781484260937
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Summary : Explore Machine Learning Techniques, Different Predictive Models, and its Applications KEY FEATURES ● Extensive coverage of real examples on implementation and working of ML models. ● Includes different strategies used in Machine Learning by leading data scientists. ● Focuses on Machine Learning concepts and their evolution to algorithms. DESCRIPTION This book covers basic ...

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  • Publisher : KHANNA PUBLISHING HOUSE
  • Release Date : 2021-05-17
  • Total pages : 200
  • ISBN : 9781484260937
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Summary : AICTE recommended book for Indian Universities and Autonomous colleges. This book can be used as a self-study material or for instructor assisted teaching. Frequent questions for interviews and examinations are provided....

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  • Publisher : Manning Publications
  • Release Date : 2021-01-12
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  • ISBN : 9781484260937
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  • Author : Sebastian Maurice
  • Publisher : Apress
  • Release Date : 2021-08-13
  • Total pages : 240
  • ISBN : 9781484260937
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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). ...

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  • Author : Ai Publishing
  • Publisher : Unknown
  • Release Date : 2020-10-23
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  • ISBN : 9781484260937
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Summary : Python Machine Learning for BeginnersMachine 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.Consider any industry today. The practical applications of ML are really driving business ...

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  • Publisher : BPB Publications
  • Release Date : 2018-06-02
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  • ISBN : 9781484260937
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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 ...

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  • Publisher : Apress
  • Release Date : 2020-08-25
  • Total pages : 407
  • ISBN : 9781484260937
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Summary : Learn the concepts of time series from traditional to bleeding-edge techniques. This book uses comprehensive examples to clearly illustrate statistical approaches and methods of analyzing time series data and its utilization in the real world. All the code is available in Jupyter notebooks. You'll begin by reviewing time series fundamentals, ...

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  • Author : Giacomo Veneri,Antonio Capasso
  • Publisher : Packt Publishing Ltd
  • Release Date : 2018-11-29
  • Total pages : 556
  • ISBN : 9781484260937
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Summary : Build a strong and efficient IoT infrastructure at industrial and enterprise level by mastering Industrial IoT network Key Features Gain hands-on experience working with industrial architecture Explore the potential of cloud-based Industrial IoT platforms, analytics, and protocols Improve business models and transform your workforce with Industry 4.0 Book Description We live ...

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  • Publisher : Springer Nature
  • Release Date : 2020-01-03
  • Total pages : 1081
  • ISBN : 9781484260937
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Summary : This book features research presented at the 1st International Conference on Artificial Intelligence and Applied Mathematics in Engineering, held on 20–22 April 2019 at Antalya, Manavgat (Turkey). In today’s world, various engineering areas are essential components of technological innovations and effective real-world solutions for a better future. In this context, the ...

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  • Publisher : Apress
  • Release Date : 2021-03-21
  • Total pages : 252
  • ISBN : 9781484260937
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Summary : Get insight into data science techniques such as data engineering and visualization, statistical modeling, machine learning, and deep learning. This book teaches you how to select variables, optimize hyper parameters, develop pipelines, and train, test, and validate machine and deep learning models. Each chapter includes a set of examples allowing ...

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  • Publisher : Apress
  • Release Date : 2021-09-29
  • Total pages : 155
  • ISBN : 9781484260937
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Summary : Bring together machine learning (ML) and deep learning (DL) in financial trading, with an emphasis on investment management. This book explains systematic approaches to investment portfolio management, risk analysis, and performance analysis, including predictive analytics using data science procedures. The book introduces pattern recognition and future price forecasting that exerts ...

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  • Publisher : SAP PRESS
  • Release Date : 2018-12-28
  • Total pages : 489
  • ISBN : 9781484260937
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Summary : Learn to build cloud applications from the ground up using SAP Cloud Platform. Explore the Neo and Cloud Foundry development environments; pick your backend language from a selection including Java, Node.js, and ABAP; and create a frontend with SAPUI5 and SAP Fiori, and more. Once your app is ready ...

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  • Publisher : Academic Press
  • Release Date : 2020-10-30
  • Total pages : 388
  • ISBN : 9781484260937
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Summary : New Technologies for Power System Operation and Analysis considers the very latest developments in renewable energy integration and system operation, including electricity markets and wide-area monitoring systems and forecasting. Helping readers quickly grasp the essential information needed to address renewable energy integration challenges, this new book looks at basic power ...