Data-driven Reservoir Modeling

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Publisher :
ISBN 13 : 9781613995600
Total Pages : 165 pages
Book Rating : 4.9/5 (956 download)

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Book Synopsis Data-driven Reservoir Modeling by : Shahab D. Mohaghegh

Download or read book Data-driven Reservoir Modeling written by Shahab D. Mohaghegh and published by . This book was released on 2017 with total page 165 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Shale Analytics

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Publisher : Springer
ISBN 13 : 3319487531
Total Pages : 287 pages
Book Rating : 4.3/5 (194 download)

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Book Synopsis Shale Analytics by : Shahab D. Mohaghegh

Download or read book Shale Analytics written by Shahab D. Mohaghegh and published by Springer. This book was released on 2017-02-09 with total page 287 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data-Driven Analytics for the Geological Storage of CO2

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Publisher : CRC Press
ISBN 13 : 1315280795
Total Pages : 317 pages
Book Rating : 4.3/5 (152 download)

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Book Synopsis Data-Driven Analytics for the Geological Storage of CO2 by : Shahab Mohaghegh

Download or read book Data-Driven Analytics for the Geological Storage of CO2 written by Shahab Mohaghegh and published by CRC Press. This book was released on 2018-05-20 with total page 317 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Data Analytics in Reservoir Engineering

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Publisher :
ISBN 13 : 9781613998205
Total Pages : 108 pages
Book Rating : 4.9/5 (982 download)

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Book Synopsis Data Analytics in Reservoir Engineering by : Sathish Sankaran

Download or read book Data Analytics in Reservoir Engineering written by Sathish Sankaran and published by . This book was released on 2020-10-29 with total page 108 pages. Available in PDF, EPUB and Kindle. Book excerpt: Data Analytics in Reservoir Engineering describes the relevance of data analytics for the oil and gas industry, with particular emphasis on reservoir engineering.

An Introduction to Reservoir Simulation Using MATLAB/GNU Octave

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Publisher : Cambridge University Press
ISBN 13 : 1108492436
Total Pages : 677 pages
Book Rating : 4.1/5 (84 download)

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Book Synopsis An Introduction to Reservoir Simulation Using MATLAB/GNU Octave by : Knut-Andreas Lie

Download or read book An Introduction to Reservoir Simulation Using MATLAB/GNU Octave written by Knut-Andreas Lie and published by Cambridge University Press. This book was released on 2019-08-08 with total page 677 pages. Available in PDF, EPUB and Kindle. Book excerpt: Presents numerical methods for reservoir simulation, with efficient implementation and examples using widely-used online open-source code, for researchers, professionals and advanced students. This title is also available as Open Access on Cambridge Core.

Data-Driven Analytics for the Geological Storage of CO2

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Publisher : CRC Press
ISBN 13 : 1315280809
Total Pages : 282 pages
Book Rating : 4.3/5 (152 download)

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Book Synopsis Data-Driven Analytics for the Geological Storage of CO2 by : Shahab Mohaghegh

Download or read book Data-Driven Analytics for the Geological Storage of CO2 written by Shahab Mohaghegh and published by CRC Press. This book was released on 2018-05-20 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Applied Drilling Engineering

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Publisher :
ISBN 13 :
Total Pages : 522 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis Applied Drilling Engineering by : Adam T. Bourgoyne

Download or read book Applied Drilling Engineering written by Adam T. Bourgoyne and published by . This book was released on 1986 with total page 522 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Drilling Engineering presents engineering science fundamentals as well as examples of engineering applications involving those fundamentals.

Reservoir Modeling

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Publisher :
ISBN 13 : 9781697429855
Total Pages : 293 pages
Book Rating : 4.4/5 (298 download)

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Book Synopsis Reservoir Modeling by : James Dietrich

Download or read book Reservoir Modeling written by James Dietrich and published by . This book was released on 2019-11-29 with total page 293 pages. Available in PDF, EPUB and Kindle. Book excerpt: There are many excellent textbooks about the art of petroleum reservoir modeling or reservoir simulation. This is more of a technical narrative than a textbook. It's about pitfalls commonly encountered by subsurface modeling teams and how to avoid them. The book was written with graduate students in mind who are pursuing a degree in petroleum engineering or earth science. Much of the material is new and can not be found elsewhere. The author is well aware that practicing an art is a creative endeavor that is filled with interpretation, not fact. Opinion is infused throughout the narrative. But at least the author's opinions on what went wrong in a myriad of projects are based on long personal experience. In every one of the example projects, the author was present on-site as a team member throughout the modeling effort. The example projects are major, 8 in number and located in North America, the Norwegian North Sea, Russia, the United Arab Emirates and the United Kingdom. My career was 50 years in oil as a reservoir engineer, from 1966 to 2016. It covered the gamut from roughneck, to operations, to research and finally to international consulting. The first 10 years were with Shell Oil and Shell Development Companies, most of the next 10 years were with Todd, Dietrich & Chase, Inc. and the last 30 years were worked as The Dietrich Corporation. I knew reservoir modeling was for me after building the first major reservoir model for Shell Oil Company in 1970. The attraction was not surprising. My academic credentials in geology and engineering science were a perfect fit with the emerging technology of reservoir simulation. The overall chronology just described was recently told in a memoir titled Too Much by Half -- The Coming Cut in Proved Oil Reserves (Dietrich 2019), published by Amazon. That book tells my view of how reserves have become systematically inflated, aside from any influence of rising oil prices. It's actually part way between memoir and non-fiction -- too much of one to be properly the other. Dubbed narrative non-fiction, that tome was written for non-technical readers who are generally interested in the "peak oil" debate, an international consulting career, or simply expat living. This book is a sequel. Its content is highly technical in nature. Its genre is somewhere between a textbook and narrative non-fiction -- again, too much of one to be properly the other. It shares modeling experience of the author gained while working as The Dietrich Corporation, embedded in modeling teams of clients in 16 countries over a period of two decades. At the heart of both narratives is the struggle between reservoir engineers and geologists for control of the reservoir modeling process. That power play has now reached an end. Rules of the modeling game have quietly been changed by its new masters -- earth scientists. During the prior reign of engineering, oil trapped in poor quality rock was excluded from reserves. That oil was known to be present, but it was cut-out of the models because it could not be made to flow. It was not considered to be a portion of proven reserves. That was the status for decades. Under the new dominion of earth science, oil stored in poor quality rock is entered into the reservoir models and made available by combining it with the better quality rock. I call this process Moonbeam Modeling. It's like making high risk junk bonds valuable to investors by combining them with bonds rated AAA to A and marketing the lot as bonds rated BBB to B -- still good enough to attract capital. The difficult to move junk bonds and inaccessible oil can both be made to "flow" by fictitiously upgrading them.

Reservoir Model Design

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Publisher : Springer
ISBN 13 : 9400754973
Total Pages : 249 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Reservoir Model Design by : Philip Ringrose

Download or read book Reservoir Model Design written by Philip Ringrose and published by Springer. This book was released on 2014-10-03 with total page 249 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book gives practical advice and ready to use tips on the design and construction of subsurface reservoir models. The design elements cover rock architecture, petrophysical property modelling, multi-scale data integration, upscaling and uncertainty analysis. Philip Ringrose and Mark Bentley share their experience, gained from over a hundred reservoir modelling studies in 25 countries covering clastic, carbonate and fractured reservoir types. The intimate relationship between geology and fluid flow is explored throughout, showing how the impact of fluid type, production mechanism and the subtleties of single- and multi-phase flow combine to influence reservoir model design. Audience: The main audience for this book is the community of applied geoscientists and engineers involved in the development and use of subsurface fluid resources. The book is suitable for a range of Master’s level courses in reservoir characterisation, modelling and engineering. · Provides practical advice and guidelines for users of 3D reservoir modelling packages · Gives advice on reservoir model design for the growing world-wide activity in subsurface reservoir modelling · Covers rock modelling, property modelling, upscaling and uncertainty handling · Encompasses clastic, carbonate and fractured reservoirs

Applied Statistical Modeling and Data Analytics

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Publisher : Elsevier
ISBN 13 : 0128032804
Total Pages : 250 pages
Book Rating : 4.1/5 (28 download)

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Book Synopsis Applied Statistical Modeling and Data Analytics by : Srikanta Mishra

Download or read book Applied Statistical Modeling and Data Analytics written by Srikanta Mishra and published by Elsevier. This book was released on 2017-10-27 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: Applied Statistical Modeling and Data Analytics: A Practical Guide for the Petroleum Geosciences provides a practical guide to many of the classical and modern statistical techniques that have become established for oil and gas professionals in recent years. It serves as a "how to" reference volume for the practicing petroleum engineer or geoscientist interested in applying statistical methods in formation evaluation, reservoir characterization, reservoir modeling and management, and uncertainty quantification. Beginning with a foundational discussion of exploratory data analysis, probability distributions and linear regression modeling, the book focuses on fundamentals and practical examples of such key topics as multivariate analysis, uncertainty quantification, data-driven modeling, and experimental design and response surface analysis. Data sets from the petroleum geosciences are extensively used to demonstrate the applicability of these techniques. The book will also be useful for professionals dealing with subsurface flow problems in hydrogeology, geologic carbon sequestration, and nuclear waste disposal. Authored by internationally renowned experts in developing and applying statistical methods for oil & gas and other subsurface problem domains Written by practitioners for practitioners Presents an easy to follow narrative which progresses from simple concepts to more challenging ones Includes online resources with software applications and practical examples for the most relevant and popular statistical methods, using data sets from the petroleum geosciences Addresses the theory and practice of statistical modeling and data analytics from the perspective of petroleum geoscience applications

Early Settlers of Alabama

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Publisher :
ISBN 13 :
Total Pages : 590 pages
Book Rating : 4.A/5 ( download)

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Book Synopsis Early Settlers of Alabama by : James Edmonds Saunders

Download or read book Early Settlers of Alabama written by James Edmonds Saunders and published by . This book was released on 1899 with total page 590 pages. Available in PDF, EPUB and Kindle. Book excerpt: Early Settlers of Alabama by Elizabeth Saunders Blair Stubbs, first published in 1899, is a rare manuscript, the original residing in one of the great libraries of the world. This book is a reproduction of that original, which has been scanned and cleaned by state-of-the-art publishing tools for better readability and enhanced appreciation. Restoration Editors' mission is to bring long out of print manuscripts back to life. Some smudges, annotations or unclear text may still exist, due to permanent damage to the original work. We believe the literary significance of the text justifies offering this reproduction, allowing a new generation to appreciate it.

Adaptive Approach to Petroleum Reservoir Simulation

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Publisher : Springer Nature
ISBN 13 : 3030674746
Total Pages : 91 pages
Book Rating : 4.0/5 (36 download)

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Book Synopsis Adaptive Approach to Petroleum Reservoir Simulation by : Stanislav Ursegov

Download or read book Adaptive Approach to Petroleum Reservoir Simulation written by Stanislav Ursegov and published by Springer Nature. This book was released on 2021-01-31 with total page 91 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book presents unique features of the adaptive modeling approach based on new machine learning algorithms for petroleum exploration, development, and production. The adaptive approach helps simulation engineers and geoscientists to create adequate geological and hydrodynamic models. This approach is proven to be a real alternative to traditional techniques, such as deterministic modeling. Currently, machine-learning algorithms grow in popularity because they provide consistency, predictiveness, and convenience. The primary purpose of this book is to describe the theoretical state of the adaptive approach and show some examples of its implementation in simulation and forecasting different reservoir processes.

Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering

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Publisher : Springer Science & Business Media
ISBN 13 : 9400775067
Total Pages : 299 pages
Book Rating : 4.4/5 (7 download)

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Book Synopsis Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering by : Shahab Araghinejad

Download or read book Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering written by Shahab Araghinejad and published by Springer Science & Business Media. This book was released on 2013-11-26 with total page 299 pages. Available in PDF, EPUB and Kindle. Book excerpt: “Data-Driven Modeling: Using MATLAB® in Water Resources and Environmental Engineering” provides a systematic account of major concepts and methodologies for data-driven models and presents a unified framework that makes the subject more accessible to and applicable for researchers and practitioners. It integrates important theories and applications of data-driven models and uses them to deal with a wide range of problems in the field of water resources and environmental engineering such as hydrological forecasting, flood analysis, water quality monitoring, regionalizing climatic data, and general function approximation. The book presents the statistical-based models including basic statistical analysis, nonparametric and logistic regression methods, time series analysis and modeling, and support vector machines. It also deals with the analysis and modeling based on artificial intelligence techniques including static and dynamic neural networks, statistical neural networks, fuzzy inference systems, and fuzzy regression. The book also discusses hybrid models as well as multi-model data fusion to wrap up the covered models and techniques. The source files of relatively simple and advanced programs demonstrating how to use the models are presented together with practical advice on how to best apply them. The programs, which have been developed using the MATLAB® unified platform, can be found on extras.springer.com. The main audience of this book includes graduate students in water resources engineering, environmental engineering, agricultural engineering, and natural resources engineering. This book may be adapted for use as a senior undergraduate and graduate textbook by focusing on selected topics. Alternatively, it may also be used as a valuable resource book for practicing engineers, consulting engineers, scientists and others involved in water resources and environmental engineering.

Hydrological Data Driven Modelling

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Publisher : Springer
ISBN 13 : 3319092359
Total Pages : 250 pages
Book Rating : 4.3/5 (19 download)

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Book Synopsis Hydrological Data Driven Modelling by : Renji Remesan

Download or read book Hydrological Data Driven Modelling written by Renji Remesan and published by Springer. This book was released on 2014-11-03 with total page 250 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book explores a new realm in data-based modeling with applications to hydrology. Pursuing a case study approach, it presents a rigorous evaluation of state-of-the-art input selection methods on the basis of detailed and comprehensive experimentation and comparative studies that employ emerging hybrid techniques for modeling and analysis. Advanced computing offers a range of new options for hydrologic modeling with the help of mathematical and data-based approaches like wavelets, neural networks, fuzzy logic, and support vector machines. Recently machine learning/artificial intelligence techniques have come to be used for time series modeling. However, though initial studies have shown this approach to be effective, there are still concerns about their accuracy and ability to make predictions on a selected input space.

Smart Proxy Modeling

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Publisher : CRC Press
ISBN 13 : 1000755193
Total Pages : 188 pages
Book Rating : 4.0/5 (7 download)

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Book Synopsis Smart Proxy Modeling by : Shahab D. Mohaghegh

Download or read book Smart Proxy Modeling written by Shahab D. Mohaghegh and published by CRC Press. This book was released on 2022-10-27 with total page 188 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Eco-hydraulic Modelling of Eutrophication for Reservoir Management

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Publisher : CRC Press
ISBN 13 : 0203093259
Total Pages : 266 pages
Book Rating : 4.2/5 (3 download)

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Book Synopsis Eco-hydraulic Modelling of Eutrophication for Reservoir Management by : Nahm-chung Jung

Download or read book Eco-hydraulic Modelling of Eutrophication for Reservoir Management written by Nahm-chung Jung and published by CRC Press. This book was released on 2010-05-11 with total page 266 pages. Available in PDF, EPUB and Kindle. Book excerpt: This study presents an systematic approach to water quality assessment, hybrid modelling and decision support for eutrophication management in deep reservoirs. It is found that during the summer monsoon the catchment runoff into the Yongdam reservoir induces a transfer of pollutants from a middle stratified layer to the surface layer. Although the

Machine Learning for Subsurface Characterization

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Publisher : Gulf Professional Publishing
ISBN 13 : 0128177373
Total Pages : 442 pages
Book Rating : 4.1/5 (281 download)

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Book Synopsis Machine Learning for Subsurface Characterization by : Siddharth Misra

Download or read book Machine Learning for Subsurface Characterization written by Siddharth Misra and published by Gulf Professional Publishing. This book was released on 2019-10-12 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: Machine Learning for Subsurface Characterization develops and applies neural networks, random forests, deep learning, unsupervised learning, Bayesian frameworks, and clustering methods for subsurface characterization. Machine learning (ML) focusses on developing computational methods/algorithms that learn to recognize patterns and quantify functional relationships by processing large data sets, also referred to as the "big data." Deep learning (DL) is a subset of machine learning that processes "big data" to construct numerous layers of abstraction to accomplish the learning task. DL methods do not require the manual step of extracting/engineering features; however, it requires us to provide large amounts of data along with high-performance computing to obtain reliable results in a timely manner. This reference helps the engineers, geophysicists, and geoscientists get familiar with data science and analytics terminology relevant to subsurface characterization and demonstrates the use of data-driven methods for outlier detection, geomechanical/electromagnetic characterization, image analysis, fluid saturation estimation, and pore-scale characterization in the subsurface. Learn from 13 practical case studies using field, laboratory, and simulation data Become knowledgeable with data science and analytics terminology relevant to subsurface characterization Learn frameworks, concepts, and methods important for the engineer’s and geoscientist’s toolbox needed to support