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Applications of Artificial Intelligence Techniques in the Petroleum Industry

2020-08-26 Science
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Release : 2020-08-26
Genre : Science
Kind : eBook
Book Rating : 855/5 ( reviews)

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Book Synopsis Applications of Artificial Intelligence Techniques in the Petroleum Industry by : Abdolhossein Hemmati-Sarapardeh

Download or read book Applications of Artificial Intelligence Techniques in the Petroleum Industry written by Abdolhossein Hemmati-Sarapardeh. This book was released on 2020-08-26. Available in PDF, EPUB and Kindle. Book excerpt: 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 methodically address artificial intelligence technology and applications by the upstream sector, covering exploration, drilling, reservoir and production engineering. Final sections cover current gaps and future challenges. Teaches how to apply machine learning algorithms that work best in exploration, drilling, reservoir or production engineering Helps readers increase their existing knowledge on intelligent data modeling, machine learning and artificial intelligence, with foundational chapters covering the preprocessing of data and training on algorithms Provides tactics on how to cover complex projects such as shale gas, tight oils, and other types of unconventional reservoirs with more advanced model input

Artificial Intelligence in the Petroleum Industry

1996 Technology & Engineering
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Release : 1996
Genre : Technology & Engineering
Kind : eBook
Book Rating : 032/5 ( reviews)

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Book Synopsis Artificial Intelligence in the Petroleum Industry by : Bertrand Braunschweig

Download or read book Artificial Intelligence in the Petroleum Industry written by Bertrand Braunschweig. This book was released on 1996. Available in PDF, EPUB and Kindle. Book excerpt:

Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry

2022-09-02 Technology & Engineering
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Release : 2022-09-02
Genre : Technology & Engineering
Kind : eBook
Book Rating : 554/5 ( reviews)

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Book Synopsis Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry by : Manan Shah

Download or read book Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry written by Manan Shah. This book was released on 2022-09-02. Available in PDF, EPUB and Kindle. Book excerpt: Today, raw data on any industry is widely available. With the help of artificial intelligence (AI) and machine learning (ML), this data can be used to gain meaningful insights. In addition, as data is the new raw material for today’s world, AI and ML will be applied in every industrial sector. Industry 4.0 mainly focuses on the automation of things. From that perspective, the oil and gas industry is one of the largest industries in terms of economy and energy. Applications of Artificial Intelligence (AI) and Machine Learning (ML) in the Petroleum Industry analyzes the use of AI and ML in the oil and gas industry across all three sectors, namely upstream, midstream, and downstream. It covers every aspect of the petroleum industry as related to the application of AI and ML, ranging from exploration, data management, extraction, processing, real-time data analysis, monitoring, cloud-based connectivity system, and conditions analysis, to the final delivery of the product to the end customer, while taking into account the incorporation of the safety measures for a better operation and the efficient and effective execution of operations. This book explores the variety of applications that can be integrated to support the existing petroleum and adjacent sectors to solve industry problems. It will serve as a useful guide for professionals working in the petroleum industry, industrial engineers, AI and ML experts and researchers, as well as students.

Artificial Intelligence in the Petroleum Industry

1995 Computers
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Release : 1995
Genre : Computers
Kind : eBook
Book Rating : 882/5 ( reviews)

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Book Synopsis Artificial Intelligence in the Petroleum Industry by : Bertrand Braunschweig

Download or read book Artificial Intelligence in the Petroleum Industry written by Bertrand Braunschweig. This book was released on 1995. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Learning and Data Science in the Oil and Gas Industry

2021-03-04 Science
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Release : 2021-03-04
Genre : Science
Kind : eBook
Book Rating : 143/5 ( reviews)

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Book Synopsis Machine Learning and Data Science in the Oil and Gas Industry by : Patrick Bangert

Download or read book Machine Learning and Data Science in the Oil and Gas Industry written by Patrick Bangert. This book was released on 2021-03-04. Available in PDF, EPUB and Kindle. Book excerpt: 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)

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