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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 :Unknown
  • Release Date :2020-08-26
  • Total pages :322
  • ISBN : 9780128223857
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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 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 Mechanical and Industrial Engineering

Artificial Intelligence in Mechanical and Industrial Engineering
  • Author : Kaushik Kumar,Divya Zindani,J. Paulo Davim
  • Publisher :Unknown
  • Release Date :2021-06-21
  • Total pages :156
  • ISBN : 9781000396935
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Summary : Artificial Intelligence in Mechanical and Industrial Engineering offers a unified platform for the dissemination of basic and applied knowledge on the integration of artificial intelligence within the realm of mechanical and industrial engineering. The book covers the tools and information needed to build successful careers and a source of knowledge for those working with AI within these domains. The book offers a systematic approach to explicate fundamentals as well as recent advances. It incorporates various case studies for major topics as well as numerous examples. It will also include real-time intelligent automation and associated supporting methodologies and techniques, and cover decision-support systems, as well as applications of Chaos Theory and Fractals. The book will give scientists, researchers, instructors, students, and practitioners the tools and information needed to build successful careers and to be an impetus to advancements in next-generation mechanical and industrial engineering domains.

Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management

Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management
  • Author : Lyes Benyoucef,Bernard Grabot
  • Publisher :Unknown
  • Release Date :2010-05-10
  • Total pages :508
  • ISBN : 1849961190
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Summary : Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management addresses prominent concepts and applications of AI technologies in the management of networked manufacturing enterprises. The aim of this book is to align latest practices, innovation and case studies with academic frameworks and theories, where AI techniques are used efficiently for networked manufacturing enterprises. More specifically, it includes the latest research results and projects at different levels addressing quick-response system, theoretical performance analysis, performance and capability demonstration. The role of emerging AI technologies in the modelling, evaluation and optimisation of networked enterprises’ activities at different decision levels is also covered. Artificial Intelligence Techniques for Networked Manufacturing Enterprises Management is a valuable guide for postgraduates and researchers in industrial engineering, computer science, automation and operations research.

Artificial Intelligence Abstracts

Artificial Intelligence Abstracts
  • Author : Anonim
  • Publisher :Unknown
  • Release Date :1991
  • Total pages :229
  • ISBN : UOM:39015023295200
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Summary :

Industrial and Engineering Applications or Artificial Intelligence and Expert Systems

Industrial and Engineering Applications or Artificial Intelligence and Expert Systems
  • Author : Takushi Tanaka,Moonis Ali,Setsuo Ohsuga
  • Publisher :Unknown
  • Release Date :1997-01-30
  • Total pages :808
  • ISBN : 9056995243
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Summary : This work represents a broad spectrum of new ideas in the field of applied artificial intelligence and expert systems, and serves to disseminate information regarding intelligent methodologies and their implementation in solving various problems in industry and engineering. Many innovative artificial intelligence (AI) systems have emerged as the result of engineering machines to think like humans and perform intelligent functions. However, only recently have intelligent systems been applied to solve real life problems.

AI in Manufacturing and Green Technology

AI in Manufacturing and Green Technology
  • Author : Sambit Kumar Mishra,Zdzislaw Polkowski,Samarjeet Borah,Ritesh Dash
  • Publisher :Unknown
  • Release Date :2020-10-21
  • Total pages :152
  • ISBN : 9781000171891
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Summary : This book focuses on environmental sustainability by employing elements of engineering and green computing through modern educational concepts and solutions. It visualizes the potential of artificial intelligence, enhanced by business activities and strategies for rapid implementation, in manufacturing and green technology. This book covers utilization of renewable resources and implementation of the latest energy-generation technologies. It discusses how to save natural resources from depletion and illustrates facilitation of green technology in industry through usage of advanced materials. The book also covers environmental sustainability and current trends in manufacturing. The book provides the basic concepts of green technology, along with the technology aspects, for researchers, faculty, and students.

Handbook of Computational Intelligence in Manufacturing and Production Management

Handbook of Computational Intelligence in Manufacturing and Production Management
  • Author : Laha, Dipak,Mandal, Purnendu
  • Publisher :Unknown
  • Release Date :2007-11-30
  • Total pages :516
  • ISBN : 9781599045849
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Summary : During the last two decades, computer and information technologies have forced great changes in the ways businesses manage operations in meeting the desired quality of products and services, customer demands, competition, and other challenges. The Handbook of Computational Intelligence in Manufacturing and Production Management focuses on new developments in computational intelligence in areas such as forecasting, scheduling, production planning, inventory control, and aggregate planning, among others. This comprehensive collection of research provides cutting-edge knowledge on information technology developments for both researchers and professionals in fields such as operations and production management, Web engineering, artificial intelligence, and information resources management.

Computer Aided Production Engineering

Computer Aided Production Engineering
  • Author : Hongzan Bin
  • Publisher :Unknown
  • Release Date :2001-12-21
  • Total pages :480
  • ISBN : 1860583679
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Summary : Innovation in all aspects of mechanical engineering and management Computer Aided Production Engineering is a compilation of papers presented at the 17th International CAPE Conference in 2001. Featuring the work of leading innovators from academia and industry, this book explores the forefront of mechanical engineering technology and practices to provide insight for today and direction for tomorrow. Broad in scope yet rich in detail, these papers cover topics ranging from supply chain management, nontraditional processes, and quality control, to machining processes, concurrent design and engineering, rapid prototyping, virtual reality applications, and much more.

Production Engineering

Production Engineering
  • Author : Manfred Weck,Walter Eversheim,Wilfried König
  • Publisher :Unknown
  • Release Date :2013-10-22
  • Total pages :516
  • ISBN : 9781483102122
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Summary : Production Engineering: The Competitive Edge describes the applications of advanced manufacturing technologies and their environmental impact. This book contains four chapters that explore particularly the implementation of high-performance integrated system in production engineering. The first chapter deals with the association between product design, market, and manufacturing requirements, followed by a review of production management and economic and human oriented operation of production systems. The second chapter tackles the principles of the so-called “Intelligent Technologies , the potential of material-adapted machines, and environmental responsibility of manufacturing technologies. The third chapter highlights the design and realization of manufacturing equipment. This chapter also looks into the problem of interfacing in material flow in integrated systems, the concept of shop floor techniques, and the reduction of initial operation and standstill times of complex manufacturing machines. The fourth chapter considers quality assurance methods, including quality control loops, network, and optoelectronic measurements. This book will prove useful to workers in the fields of development, engineering design, operations scheduling, manufacturing, assembly, quality assurance, personnel management, and accounting departments.

Industrial and Engineering Applications of Artificial Intelligence and Expert Systems

Industrial and Engineering Applications of Artificial Intelligence and Expert Systems
  • Author : Fevzi Belli,Franz J. Radermacher
  • Publisher :Unknown
  • Release Date :1992-06-03
  • Total pages :707
  • ISBN : 354055601X
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Summary : This volume contains the 5 invited papers and 72 selected papers that were presented at the Fifth International Conference on Industrial and Engineering Applications of Artificial Intelligence. This is the first IEA/AIE conference to take place outside the USA: more than 120 papers were received from 23 countries, clearly indicating the international character of the conference series. Each paper was reviewed by at least three referees. The papers are grouped into parts on: CAM, reasoning and modelling, pattern recognition, software engineering and AI/ES, CAD, vision, verification and validation, neural networks, machine learning, fuzzy logic and control, robotics, design and architecture, configuration, finance, knowledge-based systems, knowledge representation, knowledge acquisition and language processing, reasoning and decision support, intelligent interfaces/DB and tutoring, fault diagnosis, planning and scheduling, and data/sensor fusion.

Computer Applications in Production Engineering

Computer Applications in Production Engineering
  • Author : Qiangnan Sun,Zesheng Tang,Yijun Zhang
  • Publisher :Unknown
  • Release Date :2016-02-02
  • Total pages :899
  • ISBN : 9780387348797
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Summary : This volume reviews the latest global research results in computer applications. The book contains a selection of papers presented at the Fifth International Conference on Computer Applications in Production and Engineering, arranged by the International Federation for Information Processing and held in Beijing, China in May 1995.

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 :Unknown
  • Release Date :2020-11-03
  • Total pages :300
  • ISBN : 1484260937
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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 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.

Multi-Agent-Based Production Planning and Control

Multi-Agent-Based Production Planning and Control
  • Author : Jie Zhang
  • Publisher :Unknown
  • Release Date :2017-05-09
  • Total pages :440
  • ISBN : 9781118890097
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Summary : At the crossroads of artificial intelligence, manufacturing engineering, operational research and industrial engineering and management, multi-agent based production planning and control is an intelligent and industrially crucial technology with increasing importance. This book provides a complete overview of multi-agent based methods for today’s competitive manufacturing environment, including the Job Shop Manufacturing and Re-entrant Manufacturing processes. In addition to the basic control and scheduling systems, the author also highlights advance research in numerical optimization methods and wireless sensor networks and their impact on intelligent production planning and control system operation. Enables students, researchers and engineers to understand the fundamentals and theories of multi-agent based production planning and control Written by an author with more than 20 years’ experience in studying and formulating a complete theoretical system in production planning technologies Fully illustrated throughout, the methods for production planning, scheduling and controlling are presented using experiments, numerical simulations and theoretical analysis Comprehensive and concise, Multi-Agent Based Production Planning and Control is aimed at the practicing engineer and graduate student in industrial engineering, operational research, and mechanical engineering. It is also a handy guide for advanced students in artificial intelligence and computer engineering.

Artificial Intelligence in Design '91

Artificial Intelligence in Design '91
  • Author : J. S. Gero
  • Publisher :Unknown
  • Release Date :2014-05-23
  • Total pages :952
  • ISBN : 9781483164809
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Summary : Artificial Intelligence in Design '91 is a collection of 47 papers from the First International Conference on Artificial Intelligence in Design held at Edinburgh in June 1991. The papers in this book are grouped into 13 headings, starting with a background of AI design systems and to which extent AI that results from being used as planning tool be applied to quality-oriented design processes in architecture. A constraint-driven approach to object-oriented design is also shown on real-world objects. The use of CADSYN in the structural design of buildings is examined, along with design-dependent knowledge and design-independent knowledge. Discussions on empowering designers with integrated design environments are given whereby design objects may be retrieved from catalogues without requiring users to form queries. Mention is given to automated adjustment of parameter values frequently used in computer routine applications. The book also introduces the Computer Aided Design (CAD) as applied to architecture. Design representation using data models, non-monotonic reasoning in design, and the cognitive aspects of design using empirical studies are discussed. Topics of the industrial applications of AI in design, such as the needed steps to develop a successful AI-based tool, and a review of the Castlemain Project and telecommunication distribution networks follow. This book is suitable for programmers, computer science students, and architects and engineers who use computers in their line of work.

Intelligent Systems in Production Engineering and Maintenance – ISPEM 2017

Intelligent Systems in Production Engineering and Maintenance – ISPEM 2017
  • Author : Anna Burduk,Dariusz Mazurkiewicz
  • Publisher :Unknown
  • Release Date :2017-08-16
  • Total pages :470
  • ISBN : 9783319644653
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Summary : The volume presents a collection of 44 peer-reviewed articles from the First International Conference on Intelligent Systems in Production Engineering and Maintenance (ISPEM 2017). ISPEM 2017 was organized by the Faculty of Mechanical Engineering, Wrocław University of Science and Technology and was held in Wrocław (Poland) on 28–29 September 2017. The main topics of the conference included the possibility of using widely understood intelligent methods in production engineering. New solutions for innovative plants, research results and case studies taking into account advances in production and maintenance from the point of view of Industry 4.0 were presented and discussed—with special attention paid to applications of intelligent systems, methods and tools in production engineering, maintenance, logistics, quality management, information systems, and product development. The volume is divided into two parts: 1. Intelligent Systems in Production Engineering 2. Intelligent Systems in Maintenance This book is an excellent reference resource for scientists in the field of manufacturing engineering and for top managers in production enterprises.

Applications of Artificial Intelligence in Engineering VI

Applications of Artificial Intelligence in Engineering VI
  • Author : George Rzevski,R.A. Adey
  • Publisher :Unknown
  • Release Date :2012-12-06
  • Total pages :1052
  • ISBN : 9789401136488
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Summary : This book contains papers presented at the sixth International Conference on Application of Artificial Intelligence in Engineering held in Oxford, UK in was held in Southampton, UK July 1991. The first conference in this series the second in Cambridge, Massachusetts, USA in 1987, the third in 1986, 1989 in Palo Alto, California, USA in 1988, the fourth in Cambridge, UK in and the fifth in Boston, Massachusetts, USA in 1990. The conference series has now established itself as the unique forum for the presentation of the latest research, development and application of artificial intelligence (AI) in all fields of engineering. Consequently, books of conference proceedings provide a historical record of the application of AI in engineering design, analysis, simulation, planning, scheduling, monitoring, control, diagnosis, reliability and quality, as well as in robotics and manufacturing systems, from the early beginnings to mature applications of today. Whilst previously the field was dominated by knowledge-based systems, in this latest volume, for the first time, a significant proportion of papers cover the paradigms of neural networks and genetic algorithms. Learning and self organising behaviour of systems based on these paradigms are particularly important in engineering applications. From a large number of submitted proposals over sixty papers have been selected by members of the Advisory Committee who acted as referees. Pa pers have been grouped under the following headings.

Intelligent Systems in Production Engineering and Maintenance

Intelligent Systems in Production Engineering and Maintenance
  • Author : Anna Burduk,Edward Chlebus,Tomasz Nowakowski,Agnieszka Tubis
  • Publisher :Unknown
  • Release Date :2018-07-31
  • Total pages :785
  • ISBN : 9783319974903
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Summary : The book presents a collection of 103 peer-reviewed articles from the Second International Conference on Intelligent Systems in Production Engineering and Maintenance (ISPEM 2018). The conference was organized by the Faculty of Mechanical Engineering and CAMT (Centre for Advanced Manufacturing Technologies), Wrocław University of Science and Technology and was held in Wrocław (Poland) on 17–18 September 2018. The conferences topics included the possibility of using a wide range of intelligent methods in production engineering, presenting and discussing new solutions for innovative plants, research findings and case studies demonstrating advances in production and maintenance from the point of view of Industry 4.0 – particularly applications of intelligent systems, methods and tools in production engineering, maintenance, logistics, quality management, information systems and product development. The book is divided into two parts: the first includes papers related to intelligent systems in production engineering, while the second is dedicated to special sessions focusing on: 1. Computer Aided methods in Production Engineering 2. Mining 4.0 and Intelligent Mining Transportation 3. Modelling and Simulation of Production Processes 4. Multi-Faceted Modelling of Networks and Processes 5. Product Design and Product Manufacturing in Industry 4.0 This book is an excellent source of information for scientists in the field of manufacturing engineering and for top managers in production enterprises.

Machine Learning Applications in Non-Conventional Machining Processes

Machine Learning Applications in Non-Conventional Machining Processes
  • Author : Bose, Goutam Kumar,Pain, Pritam
  • Publisher :Unknown
  • Release Date :2021-02-05
  • Total pages :313
  • ISBN : 9781799836261
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Summary : Traditional machining has many limitations in today’s technology-driven world, which has caused industrial professionals to begin implementing various optimization techniques within their machining processes. The application of methods including machine learning and genetic algorithms has recently transformed the manufacturing industry and created countless opportunities in non-traditional machining methods. Significant research in this area, however, is still considerably lacking. Machine Learning Applications in Non-Conventional Machining Processes is a collection of innovative research on the advancement of intelligent technology in industrial environments and its applications within the manufacturing field. While highlighting topics including evolutionary algorithms, micro-machining, and artificial neural networks, this book is ideally designed for researchers, academicians, engineers, managers, developers, practitioners, industrialists, and students seeking current research on intelligence-based machining processes in today’s technology-driven market.

Advances in Industrial and Production Engineering

Advances in Industrial and Production Engineering
  • Author : Rakesh Kumar Phanden,K. Mathiyazhagan,Ravinder Kumar,J. Paulo Davim
  • Publisher :Unknown
  • Release Date :2021-03-21
  • Total pages :976
  • ISBN : 9789813343207
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Summary : This book comprises the select proceedings of the 2nd International Conference on Future Learning Aspects of Mechanical Engineering (FLAME) 2020. In particular, this volume discusses different topics of industrial and production engineering such as sustainable manufacturing processes, logistics, Industry 4.0 practices, circular economy, lean six sigma, agile manufacturing, additive manufacturing, IoT and Big Data in manufacturing, 3D printing, simulation, manufacturing management and automation, surface roughness, multi-objective optimization and modelling for production processes, developments in casting, welding, machining, and machine tools. The contents of this book will be useful for researchers as well as industry professionals.

Manufacturing Intelligence for Industrial Engineering: Methods for System Self-Organization, Learning, and Adaptation

Manufacturing Intelligence for Industrial Engineering: Methods for System Self-Organization, Learning, and Adaptation
  • Author : Zhou, Zude,Wang, Huaiqing,Lou, Ping
  • Publisher :Unknown
  • Release Date :2010-03-31
  • Total pages :407
  • ISBN : 9781605668659
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Summary : "This book focuses on the latest innovations in the process of manufacturing in engineering"--Provided by publisher.

Artificial Intelligence and Industrial Applications

Artificial Intelligence and Industrial Applications
  • Author : Tawfik Masrour,Ibtissam El Hassani,Anass Cherrafi
  • Publisher :Unknown
  • Release Date :2020-07-18
  • Total pages :324
  • ISBN : 9783030539702
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Summary : This book gathers selected papers from Artificial Intelligence and Industrial Applications (A2IA’2020), the first installment of an annual international conference organized by ENSAM-Meknes at Moulay Ismail University, Morocco. The 29 papers presented here were carefully reviewed and selected from 141 submissions by an international scientific committee. They address various aspects of artificial intelligence such as digital twin, multiagent systems, deep learning, image processing and analysis, control, prediction, modeling, optimization and design, as well as AI applications in industry, health, energy, agriculture, and education. The book is intended for AI experts, offering them a valuable overview and global outlook for the future, and highlights a wealth of innovative ideas and recent, important advances in AI applications, both of a foundational and practical nature. It will also appeal to non-experts who are curious about this timely and important subject.