Artificial Intelligence And Data Analytics For Energy Exploration And Production

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Artificial Intelligence and Data Analytics for Energy Exploration and Production

Fred Aminzadeh,Cenk Temizel,Yasin Hajizadeh
Artificial Intelligence and Data Analytics for Energy Exploration and Production Book PDF

Author : Fred Aminzadeh,Cenk Temizel,Yasin Hajizadeh
Publisher : John Wiley & Sons
Page : 613 pages
File Size : 47,5 Mb
Release : 2022-08-26
Category : Science
ISBN : 9781119879879

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Artificial Intelligence and Data Analytics for Energy Exploration and Production by Fred Aminzadeh,Cenk Temizel,Yasin Hajizadeh Pdf

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.

Artificial Intelligence and Data Analytics for Energy Exploration and Production

Fred Aminzadeh,Cenk Temizel,Yasin Hajizadeh
Artificial Intelligence and Data Analytics for Energy Exploration and Production Book PDF

Author : Fred Aminzadeh,Cenk Temizel,Yasin Hajizadeh
Publisher : John Wiley & Sons
Page : 613 pages
File Size : 40,7 Mb
Release : 2022-09-21
Category : Science
ISBN : 9781119879695

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Artificial Intelligence and Data Analytics for Energy Exploration and Production by Fred Aminzadeh,Cenk Temizel,Yasin Hajizadeh Pdf

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.

Harness Oil and Gas Big Data with Analytics

Keith R. Holdaway
Harness Oil and Gas Big Data with Analytics Book PDF

Author : Keith R. Holdaway
Publisher : John Wiley & Sons
Page : 389 pages
File Size : 52,5 Mb
Release : 2014-05-27
Category : Business & Economics
ISBN : 9781118779316

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Harness Oil and Gas Big Data with Analytics by Keith R. Holdaway Pdf

Use big data analytics to efficiently drive oil and gas exploration and production Harness Oil and Gas Big Data with Analytics provides a complete view of big data and analytics techniques as they are applied to the oil and gas industry. Including a compendium of specific case studies, the book underscores the acute need for optimization in the oil and gas exploration and production stages and shows how data analytics can provide such optimization. This spans exploration, development, production and rejuvenation of oil and gas assets. The book serves as a guide for fully leveraging data, statistical, and quantitative analysis, exploratory and predictive modeling, and fact-based management to drive decision making in oil and gas operations. This comprehensive resource delves into the three major issues that face the oil and gas industry during the exploration and production stages: Data management, including storing massive quantities of data in a manner conducive to analysis and effectively retrieving, backing up, and purging data Quantification of uncertainty, including a look at the statistical and data analytics methods for making predictions and determining the certainty of those predictions Risk assessment, including predictive analysis of the likelihood that known risks are realized and how to properly deal with unknown risks Covering the major issues facing the oil and gas industry in the exploration and production stages, Harness Big Data with Analytics reveals how to model big data to realize efficiencies and business benefits.

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

Pethuru R. Chelliah,Venkatraman Jayasankar,Mats Agerstam,B. Sundaravadivazhagan,Robin Cyriac
The Power of Artificial Intelligence for the Next Generation Oil and Gas Industry Book PDF

Author : Pethuru R. Chelliah,Venkatraman Jayasankar,Mats Agerstam,B. Sundaravadivazhagan,Robin Cyriac
Publisher : John Wiley & Sons
Page : 516 pages
File Size : 42,5 Mb
Release : 2023-12-27
Category : Computers
ISBN : 9781119985587

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The Power of Artificial Intelligence for the Next-Generation Oil and Gas Industry by Pethuru R. Chelliah,Venkatraman Jayasankar,Mats Agerstam,B. Sundaravadivazhagan,Robin Cyriac Pdf

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.

Intelligent Data Analytics for Power and Energy Systems

Hasmat Malik,Md. Waseem Ahmad,D.P. Kothari
Intelligent Data Analytics for Power and Energy Systems Book PDF

Author : Hasmat Malik,Md. Waseem Ahmad,D.P. Kothari
Publisher : Springer Nature
Page : 649 pages
File Size : 53,7 Mb
Release : 2022-02-17
Category : Technology & Engineering
ISBN : 9789811660818

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Intelligent Data Analytics for Power and Energy Systems by Hasmat Malik,Md. Waseem Ahmad,D.P. Kothari Pdf

This book brings together state-of-the-art advances in intelligent data analytics as driver of the future evolution of PaE systems. In the modern power and energy (PaE) domain, the increasing penetration of renewable energy sources (RES) and the consequent empowerment of consumers as a central and active solution to deal with the generation and development variability are driving the PaE system towards a historic paradigm shift. The small-scale, diversity, and especially the number of new players involved in the PaE system potentiate a significant growth of generated data. Moreover, advances in communication (between IoT devices and M2M: machine to machine, man to machine, etc.) and digitalization hugely increased the volume of data that results from PaE components, installations, and systems operation. This data is becoming more and more important for PaE systems operation, maintenance, planning, and scheduling with relevant impact on all involved entities, from producers, consumer,s and aggregators to market and system operators. However, although the PaE community is fully aware of the intrinsic value of those data, the methods to deal with it still necessitate substantial enhancements, development and research. Intelligent data analytics is thereby playing a fundamental role in this domain, by enabling stakeholders to expand their decision-making method and achieve the awareness on the PaE environment. The editors also included demonstrated codes for presented problems for better understanding for beginners.

Data-Driven Analytics for the Geological Storage of CO2

Shahab Mohaghegh
Data Driven Analytics for the Geological Storage of CO2 Book PDF

Author : Shahab Mohaghegh
Publisher : CRC Press
Page : 282 pages
File Size : 48,8 Mb
Release : 2018-05-20
Category : Science
ISBN : 9781315280806

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Data-Driven Analytics for the Geological Storage of CO2 by Shahab Mohaghegh Pdf

Data-driven analytics is enjoying unprecedented popularity among oil and gas professionals. Many reservoir engineering problems associated with geological storage of CO2 require the development of numerical reservoir simulation models. This book is the first to examine the contribution of artificial intelligence and machine learning in data-driven analytics of fluid flow in porous environments, including saline aquifers and depleted gas and oil reservoirs. Drawing from actual case studies, this book demonstrates how smart proxy models can be developed for complex numerical reservoir simulation models. Smart proxy incorporates pattern recognition capabilities of artificial intelligence and machine learning to build smart models that learn the intricacies of physical, mechanical and chemical interactions using precise numerical simulations. This ground breaking technology makes it possible and practical to use high fidelity, complex numerical reservoir simulation models in the design, analysis and optimization of carbon storage in geological formations projects.

Shale Analytics

Shahab D. Mohaghegh
Shale Analytics Book PDF

Author : Shahab D. Mohaghegh
Publisher : Springer
Page : 287 pages
File Size : 45,6 Mb
Release : 2017-02-09
Category : Technology & Engineering
ISBN : 9783319487533

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Shale Analytics by Shahab D. Mohaghegh Pdf

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 Energies

James Brandy
Intelligent Energies Book PDF

Author : James Brandy
Publisher : Independently Published
Page : 0 pages
File Size : 43,8 Mb
Release : 2024-01-07
Category : Computers
ISBN : 9798874342333

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Intelligent Energies by James Brandy Pdf

Shaping the Future of Intelligent Energy: Navigating the AI Revolution in Oil and Gas" Embark on a transformative journey through the cutting-edge landscape of the oil and gas industry with our insightful book. "Shaping the Future of Intelligent Energy" delves into the pivotal intersection of artificial intelligence (AI) and sustainability, showcasing how innovation is redefining the very fabric of energy exploration, production, and management. Explore real-world case studies that unveil the tangible impact of AI applications, from predictive analytics optimizing production to automation revolutionizing drilling operations. Witness the industry's commitment to environmental stewardship as it integrates renewable energy sources and pioneers carbon capture and storage initiatives, showcasing a paradigm shift towards greener practices. Confront the challenges head-on, from technological hurdles to workforce transitions, and discover how the industry's resilience and adaptability are steering it towards a more sustainable and intelligent future. Uncover emerging trends like digital twins, blockchain, and quantum computing, which promise to reshape industry norms and redefine the boundaries of efficiency and collaboration. In this illuminating narrative, "Shaping the Future of Intelligent Energy" provides a comprehensive understanding of the industry's evolution. From a backdrop of traditional practices to the forefront of intelligent energy solutions, this book is a compass for industry leaders, policymakers, and innovators navigating the complexities of a dynamic and sustainable future. Join us on this journey as we unravel the narratives of success, confront challenges, and envision the possibilities that lie ahead in the era of intelligent energy. The future is being shaped, and this book is your guide to understanding how the oil and gas industry is at the forefront of this transformative revolution.

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

Kingshuk Srivastava,Thipendra P Singh,Manas Ranjan Pradhan,Vinit Kumar Gunjan
Understanding Data Analytics and Predictive Modelling in the Oil and Gas Industry Book PDF

Author : Kingshuk Srivastava,Thipendra P Singh,Manas Ranjan Pradhan,Vinit Kumar Gunjan
Publisher : CRC Press
Page : 187 pages
File Size : 53,8 Mb
Release : 2023-11-20
Category : Technology & Engineering
ISBN : 9781000995114

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Understanding Data Analytics and Predictive Modelling in the Oil and Gas Industry by Kingshuk Srivastava,Thipendra P Singh,Manas Ranjan Pradhan,Vinit Kumar Gunjan Pdf

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.

Machine Learning and Data Science in the Oil and Gas Industry

Patrick Bangert
Machine Learning and Data Science in the Oil and Gas Industry Book PDF

Author : Patrick Bangert
Publisher : Gulf Professional Publishing
Page : 290 pages
File Size : 54,5 Mb
Release : 2021-03-04
Category : Science
ISBN : 9780128209141

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Machine Learning and Data Science in the Oil and Gas Industry by Patrick Bangert Pdf

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)

Applications of Artificial Intelligence Techniques in the Petroleum Industry

Abdolhossein Hemmati-Sarapardeh,Aydin Larestani,Nait Amar Menad,Sassan Hajirezaie
Applications of Artificial Intelligence Techniques in the Petroleum Industry Book PDF

Author : Abdolhossein Hemmati-Sarapardeh,Aydin Larestani,Nait Amar Menad,Sassan Hajirezaie
Publisher : Gulf Professional Publishing
Page : 324 pages
File Size : 42,7 Mb
Release : 2020-08-26
Category : Science
ISBN : 9780128223857

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Applications of Artificial Intelligence Techniques in the Petroleum Industry by Abdolhossein Hemmati-Sarapardeh,Aydin Larestani,Nait Amar Menad,Sassan Hajirezaie Pdf

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 for Renewable Energy systems

Ashutosh Kumar Dubey,Sushil Narang,Arun Lal Srivastav,Abhishek Kumar,Vicente García-Díaz
Artificial Intelligence for Renewable Energy systems Book PDF

Author : Ashutosh Kumar Dubey,Sushil Narang,Arun Lal Srivastav,Abhishek Kumar,Vicente García-Díaz
Publisher : Woodhead Publishing
Page : 408 pages
File Size : 52,5 Mb
Release : 2022-08-01
Category : Science
ISBN : 9780323906616

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Artificial Intelligence for Renewable Energy systems by Ashutosh Kumar Dubey,Sushil Narang,Arun Lal Srivastav,Abhishek Kumar,Vicente García-Díaz Pdf

Artificial Intelligence for Renewable Energy Systems addresses the energy industries remarkable move from traditional power generation to a cost-effective renewable energy system, and most importantly, the paradigm shift from a market-based cost of the commodity to market-based technological advancements. Featuring recent developments and state-of-the-art applications of artificial intelligence in renewable energy systems design, the book emphasizes how AI supports effective prediction for energy generation, electric grid related line loss prediction, load forecasting, and for predicting equipment failure prevention. Looking at approaches in system modeling and performance prediction of renewable energy systems, this volume covers power generation systems, building service systems and combustion processes, exploring advances in machine learning, artificial neural networks, fuzzy logic, genetic algorithms and hybrid mechanisms. Includes real-time applications that illustrates artificial intelligence and machine learning for various renewable systems Features a templated approach that can be used to explore results, with scientific implications followed by detailed case studies Covers computational capabilities and varieties for renewable system design

Emerging Technologies for Sustainable and Smart Energy

Anirbid Sircar,Gautami Tripathi,Namrata Bist,Kashish Ara Shakil,Mithileysh Sathiyanarayanan
Emerging Technologies for Sustainable and Smart Energy Book PDF

Author : Anirbid Sircar,Gautami Tripathi,Namrata Bist,Kashish Ara Shakil,Mithileysh Sathiyanarayanan
Publisher : CRC Press
Page : 246 pages
File Size : 49,9 Mb
Release : 2022-08-03
Category : Technology & Engineering
ISBN : 9781000623581

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Emerging Technologies for Sustainable and Smart Energy by Anirbid Sircar,Gautami Tripathi,Namrata Bist,Kashish Ara Shakil,Mithileysh Sathiyanarayanan Pdf

Considering the alarming issue of global climate change and its drastic consequences, there is an urgent need to further develop smart and innovative solutions for the energy sector. The goal of sustainable and smart energy for present and future generations can be achieved by integrating emerging technologies into the existing energy infrastructure. This book focuses on the role and significance of emerging technologies in the energy sector and covers the various technological interventions for both conventional and unconventional energy resources and provides meaningful insights into smart and sustainable energy solutions. The book also discusses future directions for smart and sustainable developments in the energy sector.

Advanced Analytics in Mining Engineering

Ali Soofastaei
Advanced Analytics in Mining Engineering Book PDF

Author : Ali Soofastaei
Publisher : Springer Nature
Page : 746 pages
File Size : 54,5 Mb
Release : 2022-02-23
Category : Business & Economics
ISBN : 9783030915896

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Advanced Analytics in Mining Engineering by Ali Soofastaei Pdf

In this book, Dr. Soofastaei and his colleagues reveal how all mining managers can effectively deploy advanced analytics in their day-to-day operations- one business decision at a time. Most mining companies have a massive amount of data at their disposal. However, they cannot use the stored data in any meaningful way. The powerful new business tool-advanced analytics enables many mining companies to aggressively leverage their data in key business decisions and processes with impressive results. From statistical analysis to machine learning and artificial intelligence, the authors show how many analytical tools can improve decisions about everything in the mine value chain, from exploration to marketing. Combining the science of advanced analytics with the mining industrial business solutions, introduce the “Advanced Analytics in Mining Engineering Book” as a practical road map and tools for unleashing the potential buried in your company’s data. The book is aimed at providing mining executives, managers, and research and development teams with an understanding of the business value and applicability of different analytic approaches and helping data analytics leads by giving them a business framework in which to assess the value, cost, and risk of potential analytical solutions. In addition, the book will provide the next generation of miners – undergraduate and graduate IT and mining engineering students – with an understanding of data analytics applied to the mining industry. By providing a book with chapters structured in line with the mining value chain, we will provide a clear, enterprise-level view of where and how advanced data analytics can best be applied. This book highlights the potential to interconnect activities in the mining enterprise better. Furthermore, the book explores the opportunities for optimization and increased productivity offered by better interoperability along the mining value chain – in line with the emerging vision of creating a digital mine with much-enhanced capabilities for modeling, simulation, and the use of digital twins – in line with leading “digital” industries.

Intelligent Digital Oil and Gas Fields

Gustavo Carvajal,Marko Maucec,Stan Cullick
Intelligent Digital Oil and Gas Fields Book PDF

Author : Gustavo Carvajal,Marko Maucec,Stan Cullick
Publisher : Gulf Professional Publishing
Page : 374 pages
File Size : 52,7 Mb
Release : 2017-12-14
Category : Technology & Engineering
ISBN : 9780128047477

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Intelligent Digital Oil and Gas Fields by Gustavo Carvajal,Marko Maucec,Stan Cullick Pdf

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