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| Author | : Roland Wynne Lewis |
| Publisher | : |
| Total Pages | : |
| Release | : 1983 |
| Genre | : Thermal oil recovery |
| ISBN | : |
| Author | : Stanislav Ursegov |
| Publisher | : Springer Nature |
| Total Pages | : 91 |
| Release | : 2021-01-31 |
| Genre | : Science |
| ISBN | : 3030674746 |
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.
| Author | : Tomasz Plewa |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 550 |
| Release | : 2005-12-20 |
| Genre | : Mathematics |
| ISBN | : 3540270396 |
Advanced numerical simulations that use adaptive mesh refinement (AMR) methods have now become routine in engineering and science. Originally developed for computational fluid dynamics applications these methods have propagated to fields as diverse as astrophysics, climate modeling, combustion, biophysics and many others. The underlying physical models and equations used in these disciplines are rather different, yet algorithmic and implementation issues facing practitioners are often remarkably similar. Unfortunately, there has been little effort to review the advances and outstanding issues of adaptive mesh refinement methods across such a variety of fields. This book attempts to bridge this gap. The book presents a collection of papers by experts in the field of AMR who analyze past advances in the field and evaluate the current state of adaptive mesh refinement methods in scientific computing.
| Author | : Ivo Babuska |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 487 |
| Release | : 2012-12-06 |
| Genre | : Mathematics |
| ISBN | : 1461242487 |
With considerations such as complex-dimensional geometries and nonlinearity, the computational solution of partial differential systems has become so involved that it is important to automate decisions that have been normally left to the individual. This book covers such decisions: 1) mesh generation with links to the software generating the domain geometry, 2) solution accuracy and reliability with mesh selection linked to solution generation. This book is suited for mathematicians, computer scientists and engineers and is intended to encourage interdisciplinary interaction between the diverse groups.
| Author | : Ahmed Azeez |
| Publisher | : |
| Total Pages | : 61 |
| Release | : 2017 |
| Genre | : Electronic dissertations |
| ISBN | : |
Natural fractures exist in many oil and gas reservoirs. On the other hand, hydraulic fracturing (fracking) is needed to create fractures in some reservoirs to improve the production rate. For example, shale gas reservoirs typically have extremely low permeability but have become an attractive source for natural gas production largely due to the advancement of horizontal drilling and hydraulic fracturing techniques. The permeability in fractures are much higher than that in other parts of the reservoir but the sizes of the fractures are much smaller. Thus, it is desirable to place more mesh elements around the fractures during the simulation and computations. Mesh adaptation is a very useful technique to help improving the accuracy and efficiency of the computation, and can be applied in computations for many problems such as plasma physics, image processing, and reservoir simulation in petroleum engineering. This study will focus on mesh adaptation in fractured reservoir simulation. The mesh will be adapted automatically so that more elements are concentrated around the fractures and less elements are distributed in other places. By this way, the reservoir simulation can be more accurate and efficient which is critical in helping control the production rate, optimize hydraulic fracturing design, and evaluate enhanced oil recovery processes. The goal of this study is to evaluate the effects of different mesh adaptation methods when solving a partial differential equation called porous media equation (PME). The porous media equation is solved using Finite Element Method with the software FreeFem++ that has built-in mesh adaptation functionality. The mesh is adapted based on a metric tensor that determines the shape, size and orientation of the mesh elements. The results are compared with uniform meshes and meshes created based on log-spacing. The numerical results show that adaptive meshes based on metric tensor provide the best results.
| Author | : |
| Publisher | : |
| Total Pages | : 400 |
| Release | : 1948 |
| Genre | : Mechanics, Applied |
| ISBN | : |
| Author | : T.J. Smith |
| Publisher | : Springer Science & Business Media |
| Total Pages | : 309 |
| Release | : 2012-12-06 |
| Genre | : Technology & Engineering |
| ISBN | : 9400936176 |
The origin of this book can be traced to a Workshop held at the University of Cambridge in December 1985 under the auspices of the Wolfson Group for Studies of Fluid Flow and Mixing in Industrial Processes. This Group was es tablished at the University of Cambridge in January 1983 and includes mem bers from the Departments of Applied Mathematics and Theoretical Physics, Engineering and Chemical Engineering. As its name suggests, the objective of the Group is to undertake, co"ordinate and stimulate research in various aspects of fluid flow and mixing in industrial processes. However, another equally important aim for the Group is to promote co-operation between the University and industry at all levels from collaborative research projects to joint colloquia. The Workshop in December 1985 on 'Mixing, Stirring and Solidification in Metallurgical Processes' which led to this book was one in an annual series of such meetings first held in December 1983. The existence of the Wolfson Group is due to the enthusiasm of its original advocate, the late Professor J. A. Shercliff FRS, Head of the Department of Engineering who, together with Professor G. K. Batchelor FRS, Professor J. F. Davidson FRS, Dr J. C. R. Hunt, and Dr R. E. Britter, were responsible for the initial application to the Wolfson Foundation and for the subsequent direction of the Group's activities.
| Author | : Shuyu Sun |
| Publisher | : Gulf Professional Publishing |
| Total Pages | : 342 |
| Release | : 2020-06-18 |
| Genre | : Science |
| ISBN | : 0128209623 |
Reservoir Simulation: Machine Learning and Modeling helps the engineer step into the current and most popular advances in reservoir simulation, learning from current experiments and speeding up potential collaboration opportunities in research and technology. This reference explains common terminology, concepts, and equations through multiple figures and rigorous derivations, better preparing the engineer for the next step forward in a modeling project and avoid repeating existing progress. Well-designed exercises, case studies and numerical examples give the engineer a faster start on advancing their own cases. Both computational methods and engineering cases are explained, bridging the opportunities between computational science and petroleum engineering. This book delivers a critical reference for today’s petroleum and reservoir engineer to optimize more complex developments. Understand commonly used and recent progress on definitions, models, and solution methods used in reservoir simulation World leading modeling and algorithms to study flow and transport behaviors in reservoirs, as well as the application of machine learning Gain practical knowledge with hand-on trainings on modeling and simulation through well designed case studies and numerical examples.
| Author | : William Edward Fitzgibbon |
| Publisher | : SIAM |
| Total Pages | : 306 |
| Release | : 1986-01-01 |
| Genre | : Mathematics |
| ISBN | : 9780898712056 |
| Author | : M. R. Islam |
| Publisher | : John Wiley & Sons |
| Total Pages | : 592 |
| Release | : 2016-07-20 |
| Genre | : Technology & Engineering |
| ISBN | : 1119038782 |
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.
