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Author: Shahab D. Mohaghegh
Publisher: CRC Press
ISBN: 1000754928
Category : Computers
Languages : en
Pages : 204
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Book Description
Numerical simulation models are used in all engineering disciplines for modeling physical phenomena to learn how the phenomena work, and to identify problems and optimize behavior. Smart Proxy Models provide an opportunity to replicate numerical simulations with very high accuracy and can be run on a laptop within a few minutes, thereby simplifying the use of complex numerical simulations, which can otherwise take tens of hours. This book focuses on Smart Proxy Modeling and provides readers with all the essential details on how to develop Smart Proxy Models using Artificial Intelligence and Machine Learning, as well as how it may be used in real-world cases. Covers replication of highly accurate numerical simulations using Artificial Intelligence and Machine Learning Details application in reservoir simulation and modeling and computational fluid dynamics Includes real case studies based on commercially available simulators Smart Proxy Modeling is ideal for petroleum, chemical, environmental, and mechanical engineers, as well as statisticians and others working with applications of data-driven analytics.
Author: Shahab D. Mohaghegh
Publisher: CRC Press
ISBN: 1000754928
Category : Computers
Languages : en
Pages : 204
Get Book Here
Book Description
Numerical simulation models are used in all engineering disciplines for modeling physical phenomena to learn how the phenomena work, and to identify problems and optimize behavior. Smart Proxy Models provide an opportunity to replicate numerical simulations with very high accuracy and can be run on a laptop within a few minutes, thereby simplifying the use of complex numerical simulations, which can otherwise take tens of hours. This book focuses on Smart Proxy Modeling and provides readers with all the essential details on how to develop Smart Proxy Models using Artificial Intelligence and Machine Learning, as well as how it may be used in real-world cases. Covers replication of highly accurate numerical simulations using Artificial Intelligence and Machine Learning Details application in reservoir simulation and modeling and computational fluid dynamics Includes real case studies based on commercially available simulators Smart Proxy Modeling is ideal for petroleum, chemical, environmental, and mechanical engineers, as well as statisticians and others working with applications of data-driven analytics.
Author: Qin He
Publisher:
ISBN:
Category :
Languages : en
Pages : 208
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Book Description
Author: Shahab Mohaghegh
Publisher: CRC Press
ISBN: 1315280809
Category : Science
Languages : en
Pages : 282
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Book Description
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.
Author: Shahab D. Mohaghegh
Publisher: Springer
ISBN: 3319487531
Category : Technology & Engineering
Languages : en
Pages : 292
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Book Description
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.
Author: Constantin Cranganu
Publisher: Springer Nature
ISBN: 3031527151
Category :
Languages : en
Pages : 288
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Book Description
Author: Shuvajit Bhattacharya
Publisher: Elsevier
ISBN: 0128223081
Category : Computers
Languages : en
Pages : 378
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Book Description
Advances in Subsurface Data Analytics: Traditional and Physics-Based Approaches brings together the fundamentals of popular and emerging machine learning (ML) algorithms with their applications in subsurface analysis, including geology, geophysics, petrophysics, and reservoir engineering. The book is divided into four parts: traditional ML, deep learning, physics-based ML, and new directions, with an increasing level of diversity and complexity of topics. Each chapter focuses on one ML algorithm with a detailed workflow for a specific application in geosciences. Some chapters also compare the results from an algorithm with others to better equip the readers with different strategies to implement automated workflows for subsurface analysis. Advances in Subsurface Data Analytics: Traditional and Physics-Based Approaches will help researchers in academia and professional geoscientists working on the subsurface-related problems (oil and gas, geothermal, carbon sequestration, and seismology) at different scales to understand and appreciate current trends in ML approaches, their applications, advances and limitations, and future potential in geosciences by bringing together several contributions in a single volume. Covers fundamentals of simple machine learning and deep learning algorithms, and physics-based approaches written by practitioners in academia and industry Presents detailed case studies of individual machine learning algorithms and optimal strategies in subsurface characterization around the world Offers an analysis of future trends in machine learning in geosciences
Author: USENIX Conference on Object-Oriented Technologies and Systems (COOTS)
Publisher:
ISBN:
Category : Computer software
Languages : en
Pages : 212
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Book Description
Author: Zahir Tari
Publisher: Institute of Electrical & Electronics Engineers(IEEE)
ISBN: 9780769501826
Category : Computers
Languages : en
Pages : 412
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Book Description
The September 1999 symposium provided a forum for both researchers and practitioners of distributed object systems to evaluate existing ORB middleware products; to propose solutions to major limitations of existing products; and to introduce promising future research directions. Contributors emphasi"
Author: Gordon Blair
Publisher: I E E E
ISBN: 9780769513003
Category : Computers
Languages : en
Pages : 382
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Book Description
Fundamentals of distributed object systems and their use to solve problems in industrial applications are the focus of these papers from a September 2001 symposium. Contributors include researchers who provide technical and theoretical solutions, practitioners who show how distributed object systems are used to solve real world problems, and users who are interested in understanding how distributed object technology can be exploited in their application domains. Themes are support for mobility, monitoring, and management, meta-data services, enterprise architectures/workflow, reflection and reconfiguration, multimedia, and fault-tolerance. Some subjects include transparent dissemination of adaptors in Jini, a collaborative word processing system using a CORBA-based workflow framework, and developing mobile agent organizations. Lacks a subject index. Annotation c. Book News, Inc., Portland, OR (booknews.com).
Author:
Publisher:
ISBN:
Category : Computer simulation
Languages : en
Pages : 366
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Book Description
