Data-Driven Reservoir Modeling, Shahab D. Mohaghegh
Автор: L.P. Dake Название: Fundamentals of Reservoir Engineering, ISBN: 044441830X ISBN-13(EAN): 9780444418302 Издательство: Elsevier Science Рейтинг: Цена: 9094.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: "This book is fast becoming the standard text in its field," wrote a reviewer in the Journal of Canadian Petroleum Technology soon after the first appearance of Dake's book. This prediction quickly came true: it has become the standard text and has been reprinted many times. The author's aim - to provide students and teachers with a coherent account of the basic physics of reservoir engineering - has been most successfully achieved. No prior knowledge of reservoir engineering is necessary. The material is dealt with in a concise, unified and applied manner, and only the simplest and most straightforward mathematical techniques are used. This low-priced paperback edition will continue to be an invaluable teaching aid for years to come.
Автор: Grana Название: Integrated Seismic Reservoir Modeling ISBN: 1119086183 ISBN-13(EAN): 9781119086185 Издательство: Wiley Цена: 11397.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Seismic reservoir characterization aims to build 3-dimensional models of rock and fluid properties, including elastic and petrophysical variables, to describe and monitor the state of the subsurface for hydrocarbon exploration and production and for CO₂ sequestration. Rock physics modeling and seismic wave propagation theory provide a set of physical equations to predict the seismic response of subsurface rocks based on their elastic and petrophysical properties. However, the rock and fluid properties are generally unknown and surface geophysical measurements are often the only available data to constrain reservoir models far away from well control. Therefore, reservoir properties are generally estimated from geophysical data as a solution of an inverse problem, by combining rock physics and seismic models with inverse theory and geostatistical methods, in the context of the geological modeling of the subsurface. A probabilistic approach to the inverse problem provides the probability distribution of rock and fluid properties given the measured geophysical data and allows quantifying the uncertainty of the predicted results. The reservoir characterization problem includes both discrete properties, such as facies or rock types, and continuous properties, such as porosity, mineral volumes, fluid saturations, seismic velocities and density.
Seismic Reservoir Modeling: Theory, Examples and Algorithms presents the main concepts and methods of seismic reservoir characterization. The book presents an overview of rock physics models that link the petrophysical properties to the elastic properties in porous rocks and a review of the most common geostatistical methods to interpolate and simulate multiple realizations of subsurface properties conditioned on a limited number of direct and indirect measurements based on spatial correlation models. The core of the book focuses on Bayesian inverse methods for the prediction of elastic petrophysical properties from seismic data using analytical and numerical statistical methods. The authors present basic and advanced methodologies of the current state of the art in seismic reservoir characterization and illustrate them through expository examples as well as real data applications to hydrocarbon reservoirs and CO₂ sequestration studies.
Автор: Patrick Wong; Fred Aminzadeh; Masoud Nikravesh Название: Soft Computing for Reservoir Characterization and Modeling ISBN: 3790814210 ISBN-13(EAN): 9783790814217 Издательство: Springer Рейтинг: Цена: 28734.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: For example, if you want to increase the strength of a device, without adding too much extra weight to it, the contradiction matrix tells you that you can use "Principle 1: Segmentation," or "Principle 8: Counterweight," or "Principle 15: Dynamicity," or "Principle 40: Composite Materials.
Автор: Deutsch Clayton V., Pyrcz Michael J. Название: Geostatistical Reservoir Modeling ISBN: 0199731446 ISBN-13(EAN): 9780199731442 Издательство: Oxford Academ Рейтинг: Цена: 15206.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: A revised edition that provides a full update on the most current methods, tools, and research in petroleum geostatistics.
Автор: Islam M.R.et al Название: Advanced Petroleum Reservoir Simulation 2 ed. ISBN: 1119038510 ISBN-13(EAN): 9781119038511 Издательство: Wiley Рейтинг: Цена: 34365.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
This second edition of the original volume adds significant new innovations for revolutionizing the processes and methods used in petroleum reservoir simulations. With the advent of shale drilling, hydraulic fracturing, and underbalanced drilling has come a virtual renaissance of scientific methodologies in the oil and gas industry. New ways of thinking are being pioneered, and Dr. Islam and his team have, for years now, been at the forefront of these important changes.
This book clarifies the underlying mathematics and physics behind reservoir simulation and makes it easy to have a range of simulation results along with their respective probability. This makes the risk analysis based on knowledge rather than guess work. The book offers by far the strongest tool for engineers and managers to back up reservoir simulation predictions with real science. The book adds transparency and ease to the process of reservoir simulation in way never witnessed before. Finally, No other book provides readers complete access to the 3D, 3-phase reservoir simulation software that is available with this text.
A must-have for any reservoir engineer or petroleum engineer working upstream, whether in exploration, drilling, or production, this text is also a valuable textbook for advanced students and graduate students in petroleum or chemical engineering departments.
This book covers the fundamentals of reservoir engineering in the recovery of hydrocarbons from underground reservoirs. It provides a comprehensive introduction to the topic, including discussion of recovery processes, material balance, fluid properties and fluid flow. It also contains details of multiphase flow, including pore-scale displacement processes and their impact on relative permeability, with a presentation of analytical solutions to multiphase flow equations. Created specifically to aid students through undergraduate and graduate courses, this book also includes exercises with worked solutions, and examples of previous exam papers for further guidance and practice.
As part of the Imperial College Lectures in Petroleum Engineering, and based on a lecture series on the same topic, Reservoir Engineering provides the introductory information needed for students of the earth sciences, petroleum engineering, engineering and geoscience.
This book covers several aspects of reservoir management, from initial analysis to enhanced recovery methods, simulation, and history matching. Split into four parts, part one provides readers with an introduction to the physical properties of reservoir rocks. Part two provides an introduction to enhanced recovery methods used for conventional oil production. Part three shows how numerical methods can be used to simulate the behaviour of oil and gas reservoirs. Finally, part four looks at history matching of reservoirs through the building of numerical models using past data, in order to provide best practice for future reservoir development and management.
Written as the third volume in the Imperial College Lectures in Petroleum Engineering, and based on lectures that have been given in the world-renowned Imperial College Masters Course in Petroleum Engineering, Topics in Reservoir Management provides the basic information needed for students and practitioners of petroleum engineering and petroleum geoscience.
ООО "Логосфера " Тел:+7(495) 980-12-10 www.logobook.ru
