Introduction to Controlled-Source Electromagnetic Methods : Detecting Subsurface Fluids, Anton Ziolkowski, Evert Slob
Автор: Zillman Donald N., McHarg Aileen, Bradbrook Adrian Название: The Law of Energy Underground: Understanding New Developments in Subsurface Production, Transmission, and Storage ISBN: 019870318X ISBN-13(EAN): 9780198703181 Издательство: Oxford Academ Рейтинг: Цена: 110880.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Many developments in energy production and use involve underground resources. Fracking to capture oil and gas resources, storage of harmful carbon gases, and long-term disposal of waste have large implications for the future. This book provides a clear and insightful overview of the law and policy issues surrounding these new technologies.
Geological Carbon Storage Subsurface Seals and Caprock Integrity
Seals and caprocks are an essential component of subsurface hydrogeological systems, guiding the movement and entrapment of hydrocarbon and other fluids. Geological Carbon Storage: Subsurface Seals and Caprock Integrity offers a survey of the wealth of recent scientific work on caprock integrity with a focus on the geological controls of permanent and safe carbon dioxide storage, and the commercial deployment of geological carbon storage.
Volume highlights include:
Low-permeability rock characterization from the pore scale to the core scale
Flow and transport properties of low-permeability rocks
Fundamentals of fracture generation, self-healing, and permeability
Coupled geochemical, transport and geomechanical processes in caprock
Analysis of caprock behavior from natural analogues
Geochemical and geophysical monitoring techniques of caprock failure and integrity
Potential environmental impacts of carbon dioxide migration on groundwater resources
Carbon dioxide leakage mitigation and remediation techniques
Geological Carbon Storage: Subsurface Seals and Caprock Integrity is an invaluable resource for geoscientists from academic and research institutions with interests in energy and environment-related problems, as well as professionals in the field.
Book Review: William R. Green, Patrick Taylor, Sven Treitel, and Moritz Fliedner, (2020), "Reviews," The Leading Edge 39: 214-216
Geological Carbon Storage: Subsurface Seals and Caprock Integrity, edited by St phanie Vialle, Jonathan Ajo-Franklin, and J. William Carey, ISBN 978-1-119-11864-0, 2018, American Geophysical Union and Wiley, 364 p., US$199.95 (print), US$159.99 (eBook).
This volume is a part of the AGU/Wiley Geophysical Monograph Series. The editors assembled an international team of earth scientists who present a comprehensive approach to the major problem of placing unwanted and/or hazardous fluids beneath a cap rock seal to be impounded.
The compact and informative preface depicts the nature of cap rocks and the problems that may occur over time or with a change in the formation of the cap rock. I have excerpted a quote from the preface that describes the scope of the volume in a concise and thorough matter. "Caprocks can be defined as a rock that prevents the flow of a given fluid at certain temperature, pressure, and chemical conditions. ... A fundamental understanding of these units and of their evolution over time in the context of subsurface carbon storage is still lacking."
This volume describes the scope of current research being conducted on a global scale, with 31 of the 83 authors working outside of the United States. The studies vary but can be generalized as monitoring techniques for cap rock integrity and the consequence of the loss of that integrity. The preface ends by calling out important problems that remain to be answered. These include imaging cap rocks in situ, detecting subsurface leaks before they reach the surface, and remotely examining the state of the cap rock to avert any problems.
Chapter 3 describes how newer methods are used to classify shale. These advanced techniques reveal previously unknown microscopic properties that complicate classification. This is an example of the more we know, the more we don't know.
A sedimentologic study of the formation of shale (by far the major sedimentary rock and an important rock type) is described in Chapter 4. The authors use diagrammatic examples to illustrate how cap rocks may fail through imperfect seal between the drill and wall rock, capillary action, or a structural defect (fault). Also, the shale pore structures vary in size, and this affects the reservoir. There are descriptions of the pore structure in the Eagle F
Автор: Misra, Siddharth Название: Machine Learning for Subsurface Characterization ISBN: 0128177365 ISBN-13(EAN): 9780128177365 Издательство: Elsevier Science Рейтинг: Цена: 123520.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
To continue to meet demand while keeping costs down, petroleum and reservoir engineers know it is critical to utilize their asset's data through more complex modeling methods, and machine learning and data analytics is the known alternative approach to accurately represent the complexity of fluid-filled rocks. With a lack of training resources available, Machine Learning for Subsurface Characterization focuses on the development and application of neural networks, deep learning, unsupervised learning, reinforcement learning, and clustering methods for subsurface characterization under constraints. Such constraints are encountered during subsurface engineering operations due to financial, operational, regulatory, risk, technological, and environmental challenges.
This reference teaches how to do more with less. Used to develop tools and techniques of data-driven predictive modelling and machine learning for subsurface engineering and science, engineers will be introduced to methods of generating subsurface signals and analyzing the complex relationships within various subsurface signals using machine learning. Algorithmic procedures in MATLAB, R, PYTHON, and TENSORFLOW are displayed in text and through online instructional video to assist training and learning. Field cases are also presented to understand real-world applications, with a particular focus on examples involving shale reservoirs.
Explaining the concept of machine learning, advantages to the industry, and applications applied to complex subsurface rocks, Machine Learning for Subsurface Characterization delivers a missing piece to the reservoir engineer's toolbox needed to support today's complex operations.
Focus on applying predictive modelling and machine learning from real case studies and Q&A sessions at the end of each chapter
Learn how to develop codes such as MATLAB, PYTHON, R, and TENSORFLOW with step-by-step guides included
Visually learn code development with video demonstrations included
Автор: Marcel Talbot Название: Design-Build Subsurface Projects ISBN: 1681174553 ISBN-13(EAN): 9781681174556 Издательство: Gazelle Book Services Рейтинг: Цена: 200630.00 T Наличие на складе: Поставка под заказ. Описание: With its opportunities for cost containment and substantial risk transfer, DesignBuild is increasingly becoming the delivery method of choice for owners with challenging funding limitations. But deciding to use the Design-Build system for underground projects is one thing; successfully implementing it is quite another. Subsurface engineers must design a successful well completion system by selecting equipment that is adequate for both downhole environments and applications. Considerations must be given to the various functions under which the completion equipment must operate and the effects any changes in temperatures or differential pressure will have on the equipment. The completion system must also be efficient and cost effective to achieve maximum production and financial goals. Another factor in the selection of specific completion equipment is the production rates of the well. The typical job duties of a Subsurface engineer include managing the interface between the reservoir and the well, including perforations, sand control, artificial lift, downhole flow control, and downhole monitoring equipment. This book provides a straight-forward, comprehensive look at how to make Design-Build work on complicated projects involving tunnels, highways, dams, and deep foundations. The book includes extensive information about procurement, as well as risk allocation issues, which are significantly different from the Design-Bid-Build approach and serves as an indispensable resource for owners, engineers, construction managers, contractors, and others involved in the design and construction of subsurface projects.
Автор: James P. Verdon Название: Microseismic Monitoring and Geomechanical Modelling of CO2 Storage in Subsurface Reservoirs ISBN: 3662521393 ISBN-13(EAN): 9783662521397 Издательство: Springer Рейтинг: Цена: 87060.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This thesis by an award-winning researcher summarizes the potential to use passive seismic methods to monitor the sequestration of anthropogenic CO2 in geologic reservoirs. In doing so it synthesizes innovative research in both seismology and geomechanics.
Автор: Mcpherson, Malcolm J. Название: Subsurface ventilation and environmental engineering ISBN: 0412353008 ISBN-13(EAN): 9780412353000 Издательство: Springer Рейтинг: Цена: 326090.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: In excavations, many pollutants may enter the airstream, including dangerous gases. This work covers methods of designing and controlling ventilation and air conditioning systems for large networks of underground excavations. Physiological effects of the pollutants are given special emphasis.
Автор: Caers Название: Quantifying Uncertainty in Subsurface Systems ISBN: 1119325838 ISBN-13(EAN): 9781119325833 Издательство: Wiley Рейтинг: Цена: 166790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание:
Under the Earth's surface is a rich array of geological resources, many with potential use to humankind. However, extracting and harnessing them comes with enormous uncertainties, high costs, and considerable risks. The valuation of subsurface resources involves assessing discordant factors to produce a decision model that is functional and sustainable. This volume provides real-world examples relating to oilfields, geothermal systems, contaminated sites, and aquifer recharge.
Volume highlights include:
A multi-disciplinary treatment of uncertainty quantification
Case studies with actual data that will appeal to methodology developers
A Bayesian evidential learning framework that reduces computation and modeling time
Quantifying Uncertainty in Subsurface Systems is a multidisciplinary volume that brings together five major fields: information science, decision science, geosciences, data science and computer science. It will appeal to both students and practitioners, and be a valuable resource for geoscientists, engineers and applied mathematicians.
Read the Editors' Vox: https: //eos.org/editors-vox/quantifying-uncertainty-about-earths-resources
Reviews, The Leading Edge, SEG, May 2020
The subsurface medium created by geologic processes is not always well understood. The data we collect in an attempt to characterize the subsurface can be incomplete and inaccurate. However, if we understand the uncertainty of our data and the models we generate from them, we can make better decisions regarding the management of subsurface resources. Modeling and managing subsurface resources, and properly characterizing and understanding the uncertainties, requires the integration of a variety of scientific and engineering disciplines.
Five case studies are outlined in the introductory chapter, which are used to demonstrate various methods throughout the book. The second chapter introduces the basic notions in decision analysis. Uncertainty quantification is only relevant within the decision framework used. Models alone do not quantify uncertainty, but do allow the determination of key variables that influence models and decisions. Next, an overview of the various data science methods relevant to uncertainty quantification in the subsurface is provided. Sensitivity analysis is then covered, specifically Monte Carlo-based sensitivity analysis. The next three chapters develop the Bayesian approach to uncertainty quantification, and this is the focus of the book.
All of this is brought together in Chapter 8, which describes a solution regarding quantifying the uncertainties for each of the problems presented in the first chapter. The authors admit that it is not the only solution. No single solution fits all problems of uncertainty quantification. The results in this chapter allow the reader to see the previously described methods applied and how choices influence models and decisions. The final two chapters discuss various software components necessary to implement the strategies presented in the book and challenges faced in the future of uncertainty quantification.
The book uses a number of relevant subsurface problems to explore the various aspects of uncertainty quantification. Understanding uncertainty, and how it affects modeling and decision outcomes, is not always straightforward. However, it is necessary in order to make good, consistent decisions. The book is not an easy read. Some portions require good mathematical understanding of the underlying principles. However, the book is well documented and organized. I would say that is not a good book for a beginner, but it is a good resource for someone to get a grounding to go further into the subject. I appreciate the authors putting together this book on a complex problem that is important to our industry.
-- Da
Автор: Georg-Paul Merkler; Heinz Militzer; Heinz H?tzl; H Название: Detection of Subsurface Flow Phenomena ISBN: 3540518754 ISBN-13(EAN): 9783540518754 Издательство: Springer Рейтинг: Цена: 81050.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Geophysical methods can be useful tools for detection of leakages in dams and waste disposal sites. Self-potential/geoelectrical and thermometrical techniques as well as infrared imagery procedures are still under development in this field of application, but there already is much international experience available.
Автор: Vasco Название: Subsurface Fluid Flow and Imaging ISBN: 0521516331 ISBN-13(EAN): 9780521516334 Издательство: Cambridge Academ Рейтинг: Цена: 132000.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book introduces methodologies for subsurface imaging based upon asymptotic and trajectory-based methods for modeling fluid flow, transport and deformation. Complete with online software applications and examples, this is an invaluable resource for graduate-level courses, as well as for academic researchers and industry practitioners.
Автор: Liu Название: Fluid Flow in the Subsurface ISBN: 3319434489 ISBN-13(EAN): 9783319434483 Издательство: Springer Рейтинг: Цена: 111790.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: This book presents a systematic attempt to generalize several fundamental physical laws related to subsurface fluid flow that are important for a number of contemporary applications in the areas of hydrogeology, reservoir engineering and rock mechanics. It also covers the history of discovering these physical laws, their respective scope of validity, and their generalizations or extensions. The physical laws discussed include Darcy’s law, Darcy-Buckingham law and Hooke’s law. Darcy’s law is the fundamental law for subsurface fluid flow. For low-permeability media, it is not always adequate because of the strong fluid–solid interaction. Though the Darcy-Buckingham law is often used for modeling subsurface multiphase flow, it is only valid under the local equilibrium condition. This condition does not hold in many cases, especially when fingering flow occurs. It is well known that subsurface fluid flow is coupled with mechanical deformation of subsurface media; in some applications, this coupling can play a dominant role. The continuum-scale elastic deformation of natural rock, however, does not always follow the traditional form of Hooke’s law.The book also presents applications of the proposed generalizations of the physical laws to several important engineering projects.
Название: Sun`s surface and subsurface ISBN: 3662144115 ISBN-13(EAN): 9783662144114 Издательство: Springer Рейтинг: Цена: 56590.00 T Наличие на складе: Есть у поставщика Поставка под заказ. Описание: Composed of a set of lectures and tutorial reviews, this book stems from a summer school devoted to the gravitational aspects of the sun and their geophysical consequences.
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