Applications of Artificial Intelligence Techniques in the Petroleum Industry

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Publisher : Gulf Professional Publishing
ISBN 13 : 0128223855
Total Pages : 324 pages
Book Rating : 4.1/5 (282 download)

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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 and published by Gulf Professional Publishing. This book was released on 2020-08-26 with total page 324 pages. 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

Applications of Artificial Intelligence Techniques in the Petroleum Industry

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Publisher : Gulf Professional Publishing
ISBN 13 : 0128186801
Total Pages : 322 pages
Book Rating : 4.1/5 (281 download)

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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 and published by Gulf Professional Publishing. This book was released on 2020-09-09 with total page 322 pages. 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

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

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Author :
Publisher : CRC Press
ISBN 13 : 1000629554
Total Pages : 162 pages
Book Rating : 4.0/5 (6 download)

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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 and published by CRC Press. This book was released on 2022-09-02 with total page 162 pages. 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

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Author :
Publisher : Editions TECHNIP
ISBN 13 : 9782710806882
Total Pages : 484 pages
Book Rating : 4.8/5 (68 download)

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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 and published by Editions TECHNIP. This book was released on 1995 with total page 484 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Learning and Data Science in the Oil and Gas Industry

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Publisher : Gulf Professional Publishing
ISBN 13 : 0128209143
Total Pages : 290 pages
Book Rating : 4.1/5 (282 download)

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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 and published by Gulf Professional Publishing. This book was released on 2021-03-04 with total page 290 pages. 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)

Machine Learning Guide for Oil and Gas Using Python

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Publisher : Gulf Professional Publishing
ISBN 13 : 0128219300
Total Pages : 478 pages
Book Rating : 4.1/5 (282 download)

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Book Synopsis Machine Learning Guide for Oil and Gas Using Python by : Hoss Belyadi

Download or read book Machine Learning Guide for Oil and Gas Using Python written by Hoss Belyadi and published by Gulf Professional Publishing. This book was released on 2021-04-09 with total page 478 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 to step-by-step examples of utilization in various oil and gas scenarios, such as well testing, shale reservoirs and production optimization. Petroleum engineers are quickly applying machine learning techniques to their data challenges, but there is a lack of references beyond the math or heavy theory of machine learning. Machine Learning Guide for Oil and Gas Using Python details the open-source tool Python by explaining how it works at an introductory level then bridging into how to apply the algorithms into different oil and gas scenarios. While similar resources are often too mathematical, this book balances theory with applications, including use cases that help solve different oil and gas data challenges. Helps readers understand how open-source Python can be utilized in practical oil and gas challenges Covers the most commonly used algorithms for both supervised and unsupervised learning Presents a balanced approach of both theory and practicality while progressing from introductory to advanced analytical techniques

Artificial Intelligence in the Petroleum Industry

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Author :
Publisher : Editions TECHNIP
ISBN 13 : 9782710807032
Total Pages : 404 pages
Book Rating : 4.8/5 (7 download)

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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 and published by Editions TECHNIP. This book was released on 1996 with total page 404 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Machine Learning in the Oil and Gas Industry

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Author :
Publisher : Apress
ISBN 13 : 9781484260937
Total Pages : 300 pages
Book Rating : 4.2/5 (69 download)

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Book Synopsis Machine Learning in the Oil and Gas Industry by : Yogendra Narayan Pandey

Download or read book Machine Learning in the Oil and Gas Industry written by Yogendra Narayan Pandey and published by Apress. This book was released on 2020-11-03 with total page 300 pages. Available in PDF, EPUB and Kindle. 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.

Artificial Intelligence and Data Analytics for Energy Exploration and Production

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119879698
Total Pages : 613 pages
Book Rating : 4.1/5 (198 download)

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Book Synopsis Artificial Intelligence and Data Analytics for Energy Exploration and Production by : Fred Aminzadeh

Download or read book Artificial Intelligence and Data Analytics for Energy Exploration and Production written by Fred Aminzadeh and published by John Wiley & Sons. This book was released on 2022-09-21 with total page 613 pages. Available in PDF, EPUB and Kindle. Book excerpt: ARTIFICAL INTELLIGENCE AND DATA ANALYTICS FOR ENERGY EXPLORATION AND PRODUCTION This groundbreaking new book is written by some of the foremost authorities on the application of data science and artificial intelligence techniques in exploration and production in the energy industry, covering the most comprehensive and updated new processes, concepts, and practical applications in the field. The book provides an in-depth treatment of the foundations of Artificial Intelligence (AI) Machine Learning, and Data Analytics (DA). It also includes many of AI-DA applications in oil and gas reservoirs exploration, development, and production. The book covers the basic technical details on many tools used in “smart oil fields”. This includes topics such as pattern recognition, neural networks, fuzzy logic, evolutionary computing, expert systems, artificial intelligence machine learning, human-computer interface, natural language processing, data analytics and next-generation visualization. While theoretical details will be kept to the minimum, these topics are introduced from oil and gas applications viewpoints. In this volume, many case histories from the recent applications of intelligent data to a number of different oil and gas problems are highlighted. The applications cover a wide spectrum of practical problems from exploration to drilling and field development to production optimization, artificial lift, and secondary recovery. Also, the authors demonstrate the effectiveness of intelligent data analysis methods in dealing with many oil and gas problems requiring combining machine and human intelligence as well as dealing with linguistic and imprecise data and rules.

Environmental Issues of Blasting

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Publisher : Springer Nature
ISBN 13 : 9811682372
Total Pages : 83 pages
Book Rating : 4.8/5 (116 download)

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Book Synopsis Environmental Issues of Blasting by : Ramesh M. Bhatawdekar

Download or read book Environmental Issues of Blasting written by Ramesh M. Bhatawdekar and published by Springer Nature. This book was released on 2022-01-04 with total page 83 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives a rigorous and up-to-date study of the various AI and machine learning algorithms for resolving environmental challenges associated with blasting. Blasting is a critical activity in any mining or civil engineering project for breaking down hard rock masses. A small amount of explosive energy is only used during blasting to fracture rock in order to achieve the appropriate fragmentation, throw, and development of muck pile. The surplus energy is transformed into unfavourable environmental effects such as back-break, flyrock, air overpressure, and ground vibration. The advancement of artificial intelligence and machine learning techniques has increased the accuracy of predicting these environmental impacts of blasting. This book discusses the effective application of these strategies in forecasting, mitigating, and regulating the aforementioned blasting environmental hazards.

Artificial Intelligence in Chemical Engineering

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Author :
Publisher : Elsevier
ISBN 13 : 0080571212
Total Pages : 634 pages
Book Rating : 4.0/5 (85 download)

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Book Synopsis Artificial Intelligence in Chemical Engineering by : Thomas E. Quantrille

Download or read book Artificial Intelligence in Chemical Engineering written by Thomas E. Quantrille and published by Elsevier. This book was released on 2012-12-02 with total page 634 pages. Available in PDF, EPUB and Kindle. Book excerpt: Artificial intelligence (AI) is the part of computer science concerned with designing intelligent computer systems (systems that exhibit characteristics we associate with intelligence in human behavior). This book is the first published textbook of AI in chemical engineering, and provides broad and in-depth coverage of AI programming, AI principles, expert systems, and neural networks in chemical engineering. This book introduces the computational means and methodologies that are used to enable computers to perform intelligent engineering tasks. A key goal is to move beyond the principles of AI into its applications in chemical engineering. After reading this book, a chemical engineer will have a firm grounding in AI, know what chemical engineering applications of AI exist today, and understand the current challenges facing AI in engineering. Allows the reader to learn AI quickly using inexpensive personal computers Contains a large number of illustrative examples, simple exercises, and complex practice problems and solutions Includes a computer diskette for an illustrated case study Demonstrates an expert system for separation synthesis (EXSEP) Presents a detailed review of published literature on expert systems and neural networks in chemical engineering

Understanding Data Analytics and Predictive Modelling in the Oil and Gas Industry

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Author :
Publisher : CRC Press
ISBN 13 : 1000995119
Total Pages : 187 pages
Book Rating : 4.0/5 (9 download)

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Book Synopsis Understanding Data Analytics and Predictive Modelling in the Oil and Gas Industry by : Kingshuk Srivastava

Download or read book Understanding Data Analytics and Predictive Modelling in the Oil and Gas Industry written by Kingshuk Srivastava and published by CRC Press. This book was released on 2023-11-20 with total page 187 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book covers aspects of data science and predictive analytics used in the oil and gas industry by looking into the challenges of data processing and data modelling unique to this industry. It includes upstream management, intelligent/digital wells, value chain integration, crude basket forecasting, and so forth. It further discusses theoretical, methodological, well-established, and validated empirical work dealing with various related topics. Special focus has been given to experimental topics with various case studies. Features: Provides an understanding of the basics of IT technologies applied in the oil and gas sector Includes deep comparison between different artificial intelligence techniques Analyzes different simulators in the oil and gas sector as well as discussion of AI applications Focuses on in-depth experimental and applied topics Details different case studies for upstream and downstream This book is aimed at professionals and graduate students in petroleum engineering, upstream industry, data analytics, and digital transformation process in oil and gas.

Shale Analytics

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Publisher : Springer
ISBN 13 : 3319487531
Total Pages : 287 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Shale Analytics by : Shahab D. Mohaghegh

Download or read book Shale Analytics written by Shahab D. Mohaghegh and published by Springer. This book was released on 2017-02-09 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book describes the application of modern information technology to reservoir modeling and well management in shale. While covering Shale Analytics, it focuses on reservoir modeling and production management of shale plays, since conventional reservoir and production modeling techniques do not perform well in this environment. Topics covered include tools for analysis, predictive modeling and optimization of production from shale in the presence of massive multi-cluster, multi-stage hydraulic fractures. Given the fact that the physics of storage and fluid flow in shale are not well-understood and well-defined, Shale Analytics avoids making simplifying assumptions and concentrates on facts (Hard Data - Field Measurements) to reach conclusions. Also discussed are important insights into understanding completion practices and re-frac candidate selection and design. The flexibility and power of the technique is demonstrated in numerous real-world situations.

Intelligent Digital Oil and Gas Fields

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Publisher : Gulf Professional Publishing
ISBN 13 : 012804747X
Total Pages : 374 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Intelligent Digital Oil and Gas Fields by : Gustavo Carvajal

Download or read book Intelligent Digital Oil and Gas Fields written by Gustavo Carvajal and published by Gulf Professional Publishing. This book was released on 2017-12-14 with total page 374 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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 of data, and changes in the way professionals collaborate on decisions. The book introduces the new age of digital oil and gas technology and process components and provides a backdrop to the value and experience industry has achieved from these in the last few years. The book then takes the reader on a journey first at a well level through instrumentation and measurement for real-time data acquisition, and then provides practical information on analytics on the real-time data. Artificial intelligence techniques provide insights from the data. The road then travels to the "integrated asset" by detailing how companies utilize Integrated Asset Models to manage assets (reservoirs) within DOF context. From model to practice, new ways to operate smart wells enable optimizing the asset. Intelligent Digital Oil and Gas Fields is packed with examples and lessons learned from various case studies and provides extensive references for further reading and a final chapter on the "next generation digital oil field," e.g., cloud computing, big data analytics and advances in nanotechnology. This book is a reference that can help managers, engineers, operations, and IT experts understand specifics on how to filter data to create useful information, address analytics, and link workflows across the production value chain enabling teams to make better decisions with a higher degree of certainty and reduced risk. Covers multiple examples and lessons learned from a variety of reservoirs from around the world and production situations Includes techniques on change management and collaboration Delivers real and readily applicable knowledge on technical equipment, workflows and data challenges such as acquisition and quality control that make up the digital oil and gas field solutions of today Describes collaborative systems and ways of working and how companies are transitioning work force to use the technology and making more optimal decisions

Advanced Analytics and Artificial Intelligence Applications

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Author :
Publisher : BoD – Books on Demand
ISBN 13 : 1789846382
Total Pages : 114 pages
Book Rating : 4.7/5 (898 download)

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Book Synopsis Advanced Analytics and Artificial Intelligence Applications by : Ali Soofastaei

Download or read book Advanced Analytics and Artificial Intelligence Applications written by Ali Soofastaei and published by BoD – Books on Demand. This book was released on 2019-11-13 with total page 114 pages. Available in PDF, EPUB and Kindle. Book excerpt: Computers and machines were developed to reduce time consumption and manual human efforts to complete projects efficiently. With fast-growing technologies in the field, we have finally reached a stage where almost everyone in the world has access to these high technologies. However, this is just a starting phase because future development is taking a more advanced route in the shape of artificial intelligence (AI). Although AI is under the computer science umbrella, nowadays there is no field unaffected by this high technology. The overall aim of using intelligence learning methods is to train machines to think intelligently and make decisions in different situations the same as humans. Previously, machines were doing what they were programmed to do, but now with AI, devices can think and behave like a human being. This book aims to present the application of advanced analytics and AI in different industries as practical tools to develop prediction, optimization, and make decision models.

The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry

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Author :
Publisher : John Wiley & Sons
ISBN 13 : 1119985609
Total Pages : 516 pages
Book Rating : 4.1/5 (199 download)

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Book Synopsis The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry by : Pethuru Raj Chelliah

Download or read book The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry written by Pethuru Raj Chelliah and published by John Wiley & Sons. This book was released on 2023-12-04 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt: The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry Comprehensive resource describing how operations, outputs, and offerings of the oil and gas industry can improve via advancements in AI The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry describes the proven and promising digital technologies and tools available to empower the oil and gas industry to be future-ready. It shows how the widely reported limitations of the oil and gas industry are being nullified through the application of breakthrough digital technologies and how the convergence of digital technologies helps create new possibilities and opportunities to take this industry to its next level. The text demonstrates how scores of proven digital technologies, especially in AI, are useful in elegantly fulfilling complicated requirements such as process optimization, automation and orchestration, real-time data analytics, productivity improvement, employee safety, predictive maintenance, yield prediction, and accurate asset management for the oil and gas industry. The text differentiates and delivers sophisticated use cases for the various stakeholders, providing easy-to-understand information to accurately utilize proven technologies towards achieving real and sustainable industry transformation. The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry includes information on: How various machine and deep learning (ML/DL) algorithms, the prime modules of AI, empower AI systems to deliver on their promises and potential Key use cases of computer vision (CV) and natural language processing (NLP) as they relate to the oil and gas industry Smart leverage of AI, the Industrial Internet of Things (IIoT), cyber physical systems, and 5G communication Event-driven architecture (EDA), microservices architecture (MSA), blockchain for data and device security, and digital twins Clearly expounding how the power of AI and other allied technologies can be meticulously leveraged by the oil and gas industry, The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry is an essential resource for students, scholars, IT professionals, and business leaders in many different intersecting fields.

Data Mining

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Publisher :
ISBN 13 :
Total Pages : 240 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Data Mining by : Georg Zangl

Download or read book Data Mining written by Georg Zangl and published by . This book was released on 2003 with total page 240 pages. Available in PDF, EPUB and Kindle. Book excerpt: