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Applications of Artificial Intelligence Techniques in the Petroleum Industry

Applications of Artificial Intelligence Techniques in the Petroleum Industry
A Book

by Abdolhossein Hemmati Sarapardeh,Aydin Larestani,Nait Amar Menad,Sassan Hajirezaie

  • Publisher : Gulf Professional Publishing
  • Release : 2020-08-26
  • Pages : 322
  • ISBN : 0128223855
  • Language : En, Es, Fr & De
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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

Artificial Intelligence in the Petroleum Industry
Symbolic and ComputationaL...

by Bertrand Braunschweig

  • Publisher : Editions TECHNIP
  • Release : 1996
  • Pages : 381
  • ISBN : 9782710807032
  • Language : En, Es, Fr & De
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Machine Learning Guide for Oil and Gas Using Python

Machine Learning Guide for Oil and Gas Using Python
A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications

by Hoss Belyadi,Alireza Haghighat

  • Publisher : Elsevier
  • Release : 2021-04-27
  • Pages : 476
  • ISBN : 0128219297
  • Language : En, Es, Fr & De
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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

Machine Learning and Data Science in the Oil and Gas Industry

Machine Learning and Data Science in the Oil and Gas Industry
Best Practices, Tools, and Case Studies

by Patrick Bangert

  • Publisher : Gulf Professional Publishing
  • Release : 2021-03-04
  • Pages : 306
  • ISBN : 0128209143
  • Language : En, Es, Fr & De
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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)

Artificial Intelligence and Cognitive Computing

Artificial Intelligence and Cognitive Computing
Methods, Technologies, Systems, Applications and Policy Making

by Miltiadis D. Lytras,Anna Visvizi

  • Publisher : MDPI
  • Release : 2021-09-10
  • Pages : 278
  • ISBN : 303651161X
  • Language : En, Es, Fr & De
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Artificial intelligence (AI) is a subject garnering increasing attention in both academia and the industry today. The understanding is that AI-enhanced methods and techniques create a variety of opportunities related to improving basic and advanced business functions, including production processes, logistics, financial management and others. As this collection demonstrates, AI-enhanced tools and methods tend to offer more precise results in the fields of engineering, financial accounting, tourism, air-pollution management and many more. The objective of this collection is to bring these topics together to offer the reader a useful primer on how AI-enhanced tools and applications can be of use in today’s world. In the context of the frequently fearful, skeptical and emotion-laden debates on AI and its value added, this volume promotes a positive perspective on AI and its impact on society. AI is a part of a broader ecosystem of sophisticated tools, techniques and technologies, and therefore, it is not immune to developments in that ecosystem. It is thus imperative that inter- and multidisciplinary research on AI and its ecosystem is encouraged. This collection contributes to that.

Geological Prior Information

Geological Prior Information
Informing Science and Engineering

by Andrew Curtis,Rachel Wood

  • Publisher : Geological Society of London
  • Release : 2004
  • Pages : 229
  • ISBN : 9781862391710
  • Language : En, Es, Fr & De
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Proceedings of the Second Workshop, Application of Artificial Intelligence Techniques in Seismology and Engineering Seismology

Proceedings of the Second Workshop, Application of Artificial Intelligence Techniques in Seismology and Engineering Seismology
October 4th to 6th, 1995, Walferdange (Grand-Duchy of Luxemb[o]urg)

by Mariano Garcia-Fernandez,Gaetano Zonno

  • Publisher : Centre Europeen de Geodynamique Et de Seismologie
  • Release : 1996
  • Pages : 304
  • ISBN : 9876543210XXX
  • Language : En, Es, Fr & De
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Drilling

Drilling
A Book

by Ariffin Samsuri

  • Publisher : BoD – Books on Demand
  • Release : 2018-10-31
  • Pages : 192
  • ISBN : 1789843030
  • Language : En, Es, Fr & De
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With regard to depleted oil and gas resources, increasing world energy demands and volatile economic and political world scenarios, oil and gas industry players are working very hard to find ways to cut exploration and production costs to sustain and develop the industry to provide the world with cheap energy without harming the environment. Therefore, this book intends to provide readers with a comprehensive overview of the current state of the art in drilling, such as advanced drilling operations and techniques used by the industry, particularly in floating, underbalanced drilling, smart drilling fluid, intelligent drilling, drilling optimization, and future drilling technology and development.

Artificial Intelligence for Smart and Sustainable Energy Systems and Applications

Artificial Intelligence for Smart and Sustainable Energy Systems and Applications
A Book

by Miltiadis D. Lytras,Kwok Tai Chui

  • Publisher : MDPI
  • Release : 2020-05-27
  • Pages : 258
  • ISBN : 303928889X
  • Language : En, Es, Fr & De
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Energy has been a crucial element for human beings and sustainable development. The issues of global warming and non-green energy have yet to be resolved. This book is a collection of twelve articles that provide strong evidence for the success of artificial intelligence deployment in energy research, particularly research devoted to non-intrusive load monitoring, network, and grid, as well as other emerging topics. The presented artificial intelligence algorithms may provide insight into how to apply similar approaches, subject to fine-tuning and customization, to other unexplored energy research. The ultimate goal is to fully apply artificial intelligence to the energy sector. This book may serve as a guide for professionals, researchers, and data scientists—namely, how to share opinions and exchange ideas so as to facilitate a better fusion of energy, academic, and industry research, and improve in the quality of people's daily life activities.

COMPUTATIONAL INTELLIGENCE IN COMPLEX DECISION MAKING SYSTEMS

COMPUTATIONAL INTELLIGENCE IN COMPLEX DECISION MAKING SYSTEMS
A Book

by Ruan Da

  • Publisher : Springer Science & Business Media
  • Release : 2010-06-01
  • Pages : 388
  • ISBN : 9491216295
  • Language : En, Es, Fr & De
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In recent years, there has been a growing interest in the need for designing intelligent systems to address complex decision systems. One of the most challenging issues for the intelligent system is to effectively handle real-world uncertainties that cannot be eliminated. These uncertainties include various types of information that are incomplete, imprecise, fragmentary, not fully reliable, vague, contradictory, deficient, and overloading. The uncertainties result in a lack of the full and precise knowledge of the decision system, including the determining and selection of evaluation criteria, alternatives, weights, assignment scores, and the final integrated decision result. Computational intelligent techniques (including fuzzy logic, neural networks, and genetic algorithms etc.), which are complimentary to the existing traditional techniques, have shown great potential to solve these demanding, real-world decision problems that exist in uncertain and unpredictable environments. These technologies have formed the foundation for intelligent systems.

Artificial Intelligence

Artificial Intelligence
Emerging Trends and Applications

by Marco Antonio Aceves-Fernandez

  • Publisher : BoD – Books on Demand
  • Release : 2018-06-27
  • Pages : 464
  • ISBN : 178923364X
  • Language : En, Es, Fr & De
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Artificial intelligence (AI) is taking an increasingly important role in our society. From cars, smartphones, airplanes, consumer applications, and even medical equipment, the impact of AI is changing the world around us. The ability of machines to demonstrate advanced cognitive skills in taking decisions, learn and perceive the environment, predict certain behavior, and process written or spoken languages, among other skills, makes this discipline of paramount importance in today's world. Although AI is changing the world for the better in many applications, it also comes with its challenges. This book encompasses many applications as well as new techniques, challenges, and opportunities in this fascinating area.

Numerical Simulation, An Art of Prediction 1

Numerical Simulation, An Art of Prediction 1
Theory

by Jean-François Sigrist

  • Publisher : John Wiley & Sons
  • Release : 2019-12-18
  • Pages : 266
  • ISBN : 1119686717
  • Language : En, Es, Fr & De
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Numerical simulation is a technique of major importance in various technical and scientific fields. Used to understand diverse physical phenomena or to design everyday objects, it plays a major role in innovation in the industrial sector. Whilst engineering curricula now include training courses dedicated to it, numerical simulation is still not well-known in some economic sectors, and even less so among the general public. Simulation involves the mathematical modeling of the real world, coupled with the computing power offered by modern technology. Designed to perform virtual experiments, digital simulation can be considered as an "art of prediction". Embellished with a rich iconography and based on the testimony of researchers and engineers, this book shines a light on this little-known art. It is the first of two volumes and focuses on the principles, methods and industrial practice of numerical modeling.

Artificial Intelligence

Artificial Intelligence
Technologies, Applications, and Challenges

by Lavanya Sharma,Pradeep Kumar Garg

  • Publisher : CRC Press
  • Release : 2021-10-29
  • Pages : 264
  • ISBN : 1000462706
  • Language : En, Es, Fr & De
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Artificial Intelligence: Technologies, Applications, and Challenges is an invaluable resource for readers to explore the utilization of Artificial Intelligence, applications, challenges, and its underlying technologies in different applications areas. Using a series of present and future applications, such as indoor-outdoor securities, graphic signal processing, robotic surgery, image processing, character recognition, augmented reality, object detection and tracking, intelligent traffic monitoring, emergency department medical imaging, and many more, this publication will support readers to get deeper knowledge and implementing the tools of Artificial Intelligence. The book offers comprehensive coverage of the most essential topics, including: Rise of the machines and communications to IoT (3G, 5G). Tools and Technologies of Artificial Intelligence Real-time applications of artificial intelligence using machine learning and deep learning. Challenging Issues and Novel Solutions for realistic applications Mining and tracking of motion based object data image processing and analysis into the unified framework to understand both IoT and Artificial Intelligence-based applications. This book will be an ideal resource for IT professionals, researchers, under or post-graduate students, practitioners, and technology developers who are interested in gaining insight to the Artificial Intelligence with deep learning, IoT and machine learning, critical applications domains, technologies, and solutions to handle relevant challenges.

PVT Property Correlations

PVT Property Correlations
Selection and Estimation

by Ahmed El-Banbi,Ahmed Alzahabi,Ahmed El-Maraghi

  • Publisher : Gulf Professional Publishing
  • Release : 2018-04-20
  • Pages : 432
  • ISBN : 012812573X
  • Language : En, Es, Fr & De
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PVT properties are necessary for reservoir/well performance forecast and optimization. In absence of PVT laboratory measurements, finding the right correlation to estimate accurate PVT properties could be challenging. PVT Property Correlations: Selection and Estimation discusses techniques to properly calculate PVT properties from limited information. This book covers how to prepare PVT properties for dry gases, wet gases, gas condensates, volatile oils, black oils, and low gas-oil ration oils. It also explains the use of artificial neural network models in generating PVT properties. It presents numerous examples to explain step-by-step procedures in using techniques designed to deliver the most accurate PVT properties from correlations. Complimentary to this book is PVT correlation calculator software. Many of the techniques discussed in this book are available with the software. This book shows the importance of PVT data, provides practical tools to calculate PVT properties, and helps engineers select PVT correlations so they can model, optimize, and forecast their assets. Understand how to prepare PVT data in absence of laboratory reports for all fluid types Become equipped with a comprehensive list of PVT correlations and their applicability ranges Learn about ANN models and their applications in providing PVT data Become proficient in selecting best correlations and improving correlations results

Petroleum Engineer's Guide to Oil Field Chemicals and Fluids

Petroleum Engineer's Guide to Oil Field Chemicals and Fluids
A Book

by Johannes Fink

  • Publisher : Gulf Professional Publishing
  • Release : 2021-03-14
  • Pages : 1078
  • ISBN : 0323858139
  • Language : En, Es, Fr & De
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Petroleum Engineer’s Guide to Oil Field Chemicals and Fluids, Third Edition delivers all the necessary lists of chemicals by use, their basic components, benefits and environmental implications. Instead of searching through various sources, this updated reference presents a one-stop, non-commercialized approach by organizing products by function, matching the chemical to the process for practical problem-solving, and extending coverage with additional resources and supportive materials. Updates include shale specific fluids and organic additives, including swellable polymers and multi-walled carbon nanotubes. Covering the full spectrum, including fluid loss additives and oil spill treating agents, this book is ideal for every oil and gas operation with its options for lower costs, sustainable use and enhanced production. Helps readers effectively locate and utilize the right chemical application specific to their oil and gas operation Includes updated sections on shale specific fluids, defoamers and organic additives, including biodegradable waste and swellable polymers Covers environmental factors and risks for oil field chemicals, along with the pluses and minuses of each application

Emerging Trends in Mechatronics

Emerging Trends in Mechatronics
A Book

by Aydin Azizi

  • Publisher : BoD – Books on Demand
  • Release : 2020-01-15
  • Pages : 228
  • ISBN : 1789843197
  • Language : En, Es, Fr & De
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Mechatronics is a multidisciplinary branch of engineering combining mechanical, electrical and electronics, control and automation, and computer engineering fields. The main research task of mechatronics is design, control, and optimization of advanced devices, products, and hybrid systems utilizing the concepts found in all these fields. The purpose of this special issue is to help better understand how mechatronics will impact on the practice and research of developing advanced techniques to model, control, and optimize complex systems. The special issue presents recent advances in mechatronics and related technologies. The selected topics give an overview of the state of the art and present new research results and prospects for the future development of the interdisciplinary field of mechatronic systems.

Numerical Simulation, An Art of Prediction, Volume 2

Numerical Simulation, An Art of Prediction, Volume 2
Examples

by Jean-François Sigrist

  • Publisher : John Wiley & Sons
  • Release : 2020-01-09
  • Pages : 374
  • ISBN : 1119694698
  • Language : En, Es, Fr & De
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Numerical simulation is a technique of major importance in various technical and scientific fields. Whilst engineering curricula now include training courses dedicated to it, numerical simulation is still not well-known in some economic sectors, and even less so among the general public. Simulation involves the mathematical modeling of the real world, coupled with the computing power offered by modern technology. Designed to perform virtual experiments, digital simulation can be considered as an "art of prediction". Embellished with a rich iconography and based on the testimony of researchers and engineers, this book shines a light on this little-known art. It is the second of two volumes and gives examples of the uses of numerical simulation in various scientific and technical fields: agriculture, industry, Earth and universe sciences, meteorology and climate studies, energy, biomechanics and human and social sciences.

Impact and Opportunities of Artificial Intelligence Techniques in the Steel Industry

Impact and Opportunities of Artificial Intelligence Techniques in the Steel Industry
Ongoing Applications, Perspectives and Future Trends

by Valentina Colla,Costanzo Pietrosanti

  • Publisher : Springer Nature
  • Release : 2021-02-04
  • Pages : 152
  • ISBN : 3030693678
  • Language : En, Es, Fr & De
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This book collects perceptions and needs expectations and experiences concerning the application of Artificial Intelligence (AI) and Machine Learning in the steel sector. It contains a selection of themes discussed within the Workshop entitled “Impact and Opportunities of Artificial Intelligence in the Steel Industry” organized by the European Steel Technology Platform as an online event from October 15 until November 5, 2020. The event aimed at analyzing the diffusion of AI technologies in steelworks and at providing indications for future research, development and innovation actions addressing the sector demands. The chapters treat general analyses on transversal themes and applications for process optimization, product quality enhancement, yield increase, optimal exploitation of resources and smart data handling. The book is devoted to researchers and technicians in the steel or AI fields as well as for managers and policymakers exploring the opportunities provided by AI in industry.

Advances in Computation and Intelligence

Advances in Computation and Intelligence
5th International Symposium, ISICA 2010, Wuhan, China, October 22-24, 2010, Proceedings

by Zhihua Cai,Chengyu Hu,Zhuo Kang,Yong Liu

  • Publisher : Springer
  • Release : 2010-10-14
  • Pages : 536
  • ISBN : 3642164935
  • Language : En, Es, Fr & De
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Volumes CCIS 107 and LNCS 6382 constitute the proceedings of the 5th International Symposium, ISICA 2010, held in Wuhan, China, in October 2010. ISICA 2010 attracted 267 submissions and through rigorous reviews 53 papers were included in LNCS 6382. The papers are presented in sections on ANT colony and particle swarm optimization, differential evolution, distributed computing, genetic algorithms, multi-agent systems, multi-objective and dynamic optimization, robot intelligence, statistic learning and system design.

Advanced Analytics and Artificial Intelligence Applications

Advanced Analytics and Artificial Intelligence Applications
A Book

by Ali Soofastaei

  • Publisher : BoD – Books on Demand
  • Release : 2019-11-13
  • Pages : 112
  • ISBN : 1789846382
  • Language : En, Es, Fr & De
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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.