Описание: This book assesses the current development and potential applications of nanoparticle technology in oil industry and explores new research directions in this frontier field. The growing demand for oil has led to the need to exploit unconventional oil resources, such as heavy and extra-heavy crude oil.
Автор: Simanzhenkov, Vasily. Название: Crude Oil Chemistry ISBN: 082474098X ISBN-13(EAN): 9780824740986 Издательство: Taylor&Francis Рейтинг: Цена: 41342.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A guide to the family of classical and modern analytical and process technologies in petroleum refining. It evaluates the chemistry and processing of low API gravity high-sulfur heavy crude oil relied on in the industry.
Автор: Urry Jane Название: Crude Oil Exploration: A Global Outlook ISBN: 1632401223 ISBN-13(EAN): 9781632401229 Издательство: Неизвестно Цена: 17694.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Urry Jane Название: Encyclopedia of Crude Oil Emulsions ISBN: 1632401819 ISBN-13(EAN): 9781632401816 Издательство: Неизвестно Цена: 17694.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The worldwide petroleum industry is facing a dilemma: the production level of heavy petroleum is higher than that of light petroleum. Heavy crude oils possess high amounts of impurities (sulfur, nitrogen, metals, and asphaltenes), as well as a high yield of residue with consequent low production of valuable distillates (gasoline and diesel). These characteristics, in turn, are responsible for the low price of heavy petroleum. Additionally, existing refineries are designed to process light crude oil, and heavy oil cannot be refined to 100 percent. One solution to this problem is the installation of plants for heavy oil upgrading before sending this raw material to a refinery. Modeling of Processes and Reactors for Upgrading of Heavy Petroleum gives an up-to-date treatment of modeling of reactors employed in the main processes for heavy petroleum upgrading. The book includes fundamental aspects such as thermodynamics, reaction kinetics, chemistry, and process variables. Process schemes for each process are discussed in detail. The author thoroughly describes the development of correlations, reactor models, and kinetic models with the aid of experimental data collected from different reaction scales. The validation of modeling results is performed by comparison with experimental and commercial data taken from the literature or generated in various laboratory scale reactors. Organized into three sections, this book deals with general aspects of properties and upgrading of heavy oils, describes the modeling of non-catalytic processes, as well as the modeling of catalytic processes. Each chapter provides detailed experimental data, explanations of how to determine model parameters, and comparisons with reactor model predictions for different situations, so that readers can adapt their own computer programs. The book includes rigorous treatment of the different topics as well as the step-by-step description of model formulation and application. It is not only an indispensable reference for professionals working in the development of reactor models for the petroleum industry, but also a textbook for full courses in chemical reaction engineering. The author would like to express his sincere appreciation to the Marcos Moshinsky Foundation for the financial support provided by means of a Catedra de Investigacion.
Автор: McNally Tony, McNally T. Название: Polymer Modified Bitumen: Properties and Characterisation ISBN: 0081016743 ISBN-13(EAN): 9780081016749 Издательство: Elsevier Science Рейтинг: Цена: 26107.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: The addition of polymers to bitumen allows the modification of certain physical properties, such as softening point, brittleness and ductility, of the bitumen. Polymer modified bitumen: Properties and characterisation provides a valuable and in-depth coverage of the science and technology of polymer modified bitumen.After an initial introduction to bitumen and polymer modified bitumen, the book is divided into two parts. Chapters in part one focus on the preparation and properties of a range of polymer modified bitumen, including polymer bitumen emulsions, modification of bitumen with poly (urethanes), waste rubber and plastic and polypropylene fibres. Part two addresses the characterisation and properties of polymer modified bitumen. Chapter topics covered include rheology, simulated and actual long term ageing studies; the solubility of bituminous binders in fuels and the use of Fourier transform infrared spectroscopy to study ageing/oxidation of polymer modified bitumen.Polymer modified bitumen is an essential reference for scientists and engineers, from both academia and the civil engineering and transport industries, interested in the properties and characterisation of polymer modified bitumen.
Автор: Misra, Siddharth Название: Machine Learning for Subsurface Characterization ISBN: 0128177365 ISBN-13(EAN): 9780128177365 Издательство: Elsevier Science Рейтинг: Цена: 18528.00 р. 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: Speight, James Название: Heavy Oil Recovery and Upgrading ISBN: 0128130253 ISBN-13(EAN): 9780128130254 Издательство: Elsevier Science Рейтинг: Цена: 23917.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Heavy Oil Recovery and Upgrading covers properties, factors, methods and all current and upcoming processes, giving engineers, new and experienced, the full spectrum of recovery choices, including SAGD, horizontal well technology, and hybrid approaches. Moving on to the upgrading and refining of the product, the book also includes information on in situ upgrading, refining options, and hydrogen production. Rounding out with environmental effects, management methods on refinery waste, and the possible future configurations within the refinery, this book provides engineers with a single source to make decisions and manage the full range of challenges.
Presents the properties, mechanisms, screening criteria and field applications for heavy oil enhanced recovery projects
Includes current upgrading options and future methods for refining heavy oil development
Fills in the gaps between literature and practical application for everyday industry reference
Описание: Energy and feedstock materials for the chemical industry are in demand and, with constraints on the availability and use of oil, the industry is undergoing considerable changes. This book talks about the major restructuring in the oil, petrochemical, and chemical industry, with attention to natural gas as a chemical feedstock, than just as a fuel.
Описание: Provides a comprehensive overview of the field of processing natural gas is given, through a series of chapters written by leading scientists and engineers in the field. This book discusses the developments and shows the work relevant to the area by a series of works by researchers working in this and related fields.
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