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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 : Gulf Professional Publishing
  • Release : 26 August 2020
GET THIS BOOKApplications of Artificial Intelligence Techniques in the Petroleum Industry

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


Artificial Intelligent Approaches in Petroleum Geosciences

Artificial Intelligent Approaches in Petroleum Geosciences
  • Author : Constantin Cranganu,Henri Luchian,Mihaela Elena Breaban
  • Publisher : Springer
  • Release : 20 April 2015
GET THIS BOOKArtificial Intelligent Approaches in Petroleum Geosciences

This book presents several intelligent approaches for tackling and solving challenging practical problems facing those in the petroleum geosciences and petroleum industry. Written by experienced academics, this book offers state-of-the-art working examples and provides the reader with exposure to the latest developments in the field of intelligent methods applied to oil and gas research, exploration and production. It also analyzes the strengths and weaknesses of each method presented using benchmarking, whilst also emphasizing essential parameters such as robustness, accuracy, speed


Machine Learning and Data Science in the Oil and Gas Industry

Machine Learning and Data Science in the Oil and Gas Industry
  • Author : Patrick Bangert
  • Publisher : Gulf Professional Publishing
  • Release : 01 March 2021
GET THIS BOOKMachine Learning and Data Science in the Oil and Gas Industry

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


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 : Apress
  • Release : 03 November 2020
GET THIS BOOKMachine Learning in the Oil and Gas Industry

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




Intelligent Digital Oil and Gas Fields

Intelligent Digital Oil and Gas Fields
  • Author : Gustavo Carvajal,Marko Maucec,Stan Cullick
  • Publisher : Gulf Professional Publishing
  • Release : 14 December 2017
GET THIS BOOKIntelligent Digital Oil and Gas Fields

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


Artificial Intelligence

Artificial Intelligence
  • Author : Marco Antonio Aceves-Fernandez
  • Publisher : BoD – Books on Demand
  • Release : 27 June 2018
GET THIS BOOKArtificial Intelligence

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


Computational Intelligence

Computational Intelligence
  • Author : Andries P. Engelbrecht
  • Publisher : John Wiley & Sons
  • Release : 22 October 2007
GET THIS BOOKComputational Intelligence

Computational Intelligence: An Introduction, Second Edition offers an in-depth exploration into the adaptive mechanisms that enable intelligent behaviour in complex and changing environments. The main focus of this text is centred on the computational modelling of biological and natural intelligent systems, encompassing swarm intelligence, fuzzy systems, artificial neutral networks, artificial immune systems and evolutionary computation. Engelbrecht provides readers with a wide knowledge of Computational Intelligence (CI) paradigms and algorithms; inviting readers to implement and problem solve real-world, complex problems within



Industrial AI

Industrial AI
  • Author : Jay Lee
  • Publisher : Springer Nature
  • Release : 07 February 2020
GET THIS BOOKIndustrial AI

This book introduces Industrial AI in multiple dimensions. Industrial AI is a systematic discipline which focuses on developing, validating and deploying various machine learning algorithms for industrial applications with sustainable performance. Combined with the state-of-the-art sensing, communication and big data analytics platforms, a systematic Industrial AI methodology will allow integration of physical systems with computational models. The concept of Industrial AI is in infancy stage and may encompass the collective use of technologies such as Internet of Things, Cyber-Physical Systems


Applications and Innovations in Intelligent Systems VII

Applications and Innovations in Intelligent Systems VII
  • Author : Richard Ellis
  • Publisher : Springer
  • Release : 04 January 2000
GET THIS BOOKApplications and Innovations in Intelligent Systems VII

Following on from a three-year knowledge management project, seven organisations formed aco-operative group for knowledge management. This group meets through the Knowledge Management Implementers Forum (KMIF). Each of the organisations participating in this work are, by implication, interested in the development of KM. The aims of the forum are t9 exchange ideas and share experience in the areaofknowledge management. The organisations involved are: ~ British Aerospace (Samlesbury) ~ ICI ~ ICL ~ North WestWater ~ IDS Cad-Graphics ~ Liverpool John Moores University ~ NWAIAG (Blackburn College) 1.1 The



Reservoir Geomechanics

Reservoir Geomechanics
  • Author : Mark D. Zoback
  • Publisher : Cambridge University Press
  • Release : 01 April 2010
GET THIS BOOKReservoir Geomechanics

This interdisciplinary book encompasses the fields of rock mechanics, structural geology and petroleum engineering to address a wide range of geomechanical problems that arise during the exploitation of oil and gas reservoirs. It considers key practical issues such as prediction of pore pressure, estimation of hydrocarbon column heights and fault seal potential, determination of optimally stable well trajectories, casing set points and mud weights, changes in reservoir performance during depletion, and production-induced faulting and subsidence. The book establishes the basic


Competing in the Age of AI

Competing in the Age of AI
  • Author : Marco Iansiti,Karim R. Lakhani
  • Publisher : Harvard Business Press
  • Release : 07 January 2020
GET THIS BOOKCompeting in the Age of AI

"a provocative new book" -- The New York Times AI-centric organizations exhibit a new operating architecture, redefining how they create, capture, share, and deliver value. Marco Iansiti and Karim R. Lakhani show how reinventing the firm around data, analytics, and AI removes traditional constraints on scale, scope, and learning that have restricted business growth for hundreds of years. From Airbnb to Ant Financial, Microsoft to Amazon, research shows how AI-driven processes are vastly more scalable than traditional processes, allow massive