Machine Learning Guide for Oil and Gas Using Python: A Step-by-Step Breakdown with Data, Algorithms, Codes, and Applications delivers a critical training and resource tool to help engineers understand machine learning theory and practice, specifically referencing use cases in oil and gas. The reference moves from explaining how Python works to step-by-step examples of utilization in various oil and gas scenarios, such as well testing, shale reservoirs and production optimization. Petroleum engineers are quickly applying machine learning techniques to their data challenges, but there is a lack of references beyond the math or heavy theory of machine learning. Machine Learning Guide for Oil and Gas Using Python details the open-source tool Python by explaining how it works at an introductory level then bridging into how to apply the algorithms into different oil and gas scenarios. While similar resources are often too mathematical, this book balances theory with applications, including use cases that help solve different oil and gas data challenges.
Название: Quantum Optics ISBN: 3319290355 ISBN-13(EAN): 9783319290355 Издательство: Springer Рейтинг: Цена: 10448.00 р. Наличие на складе: Поставка под заказ.
Описание: Einstein's Theory of Atom-Radiation Interaction.- Atom-Field Interaction: Semi classical Approach.- Quantization of the Electromagnetic Field.- States of the Electromagnetic Field I.- States of the Electromagnetic Field II.- Quantum Theory of Coherence.- Phase Space Description.- Atom-Field Interaction.- System-Reservoir Interactions.- Resonance Fluorescence.- Quantum Laser Theory: Master Equation Approach.- Quantum Laser Theory: Langevin Approach.- Quantum Noise Reduction 1.- Quantum Noise Reduction 2.- Quantum Phase.- Quantum Trajectories.- Atom Optics.- Measurements, Quantum Limits and All That.- Trapped Ions.- Decoherence.- Quantum Bits, Entanglement and Applications.- Quantum Correlations.- Quantum Cloning and Processing.- Appendices: Operator Relations.- The Method of Characteristics.- Proof.- Stochastic Processes in a Nutshell.- Derivation of the Homodyne Stochastic Schrцdinger Differential Equation.- Fluctuations.- Discrimination.- The No-Cloning Theorem.- The Universal Quantum Cloning Machine.- Hints to Solve the Problems.- Index.
Описание: This book examines the reduction of combustion gases in vehicles. It discusses technological solutions as well as the consequences of international legislation and their effects on the environmental and climate protection in the area of the mobility.
Автор: Mohamed Название: Machine Learning for Model Order Reduction ISBN: 331975713X ISBN-13(EAN): 9783319757131 Издательство: Springer Рейтинг: Цена: 16769.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Автор: Wilhelmus H. Schilders; Henk A. van der Vorst; Joo Название: Model Order Reduction: Theory, Research Aspects and Applications ISBN: 3540788409 ISBN-13(EAN): 9783540788409 Издательство: Springer Рейтинг: Цена: 23058.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Describes the basics of model order reduction and related aspects. This work covers both general and specialized model order reduction techniques for linear and nonlinear systems, and discusses the use of model order reduction techniques in a variety of practical applications. It also contains many advances in model order reduction.
Описание: Model Order Reduction Techniqes focuses on model reduction problems with particular applications in electrical engineering. Particular attention is given to providing basic concepts for building expert systems for model reducution.
Описание: This volume contains the proceedings of the IUTAM Symposium on Model Order Reduction of Coupled System, held in Stuttgart, Germany, May 22–25, 2018.For the understanding and development of complex technical systems, such as the human body or mechatronic systems, an integrated, multiphysics and multidisciplinary view is essential. Many problems can be solved within one physical domain. For the simulation and optimization of the combined system, the different domains are connected with each other. Very often, the combination is only possible by using reduced order models such that the large-scale dynamical system is approximated with a system of much smaller dimension where the most dominant features of the large-scale system are retained as much as possible. The field of model order reduction (MOR) is interdisciplinary. Researchers from Engineering, Mathematics and Computer Science identify, explore and compare the potentials, challenges and limitations of recent and new advances.
Автор: Joe H. Chow Название: Power System Coherency and Model Reduction ISBN: 1489995129 ISBN-13(EAN): 9781489995124 Издательство: Springer Рейтинг: Цена: 18284.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: This book provides a comprehensive treatment for understanding interarea modes in large power systems and obtaining reduced-order models using the coherency concept and selective modal analysis method.
Автор: Peter Benner; Michael Hinze; E. Jan W. ter Maten Название: Model Reduction for Circuit Simulation ISBN: 940073283X ISBN-13(EAN): 9789400732834 Издательство: Springer Рейтинг: Цена: 20962.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: Simulation plays a major role in the computer-aided design of integrated circuits, yet its complexities in an age of miniaturization cause time-lags in product manufacture. Model Order Reduction resolves the dilemma, and this volume covers the latest results.
Автор: Bai Название: Permanent Magnet Spherical Motors ISBN: 9811079617 ISBN-13(EAN): 9789811079610 Издательство: Springer Рейтинг: Цена: 13974.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание: In order to take full advantage of the concise structure of spherical motors in practical applications, magnetic-field-based sensing and control methods that utilize the existing magnetic fields of spherical motors and eliminate the need to install external sensors for feedback are proposed.
Описание: This volume analyzes, describes the design, and presents test results of Analog-to-Digital Converters employing the three main high-speed architectures: flash, two-step flash and folding and interpolation. The authors review the pros and cons of each one.
Автор: Peter Benner Название: System Reduction for Nanoscale IC Design ISBN: 3319072358 ISBN-13(EAN): 9783319072357 Издательство: Springer Рейтинг: Цена: 12577.00 р. Наличие на складе: Есть у поставщика Поставка под заказ.
Описание:
Preface.- 1 Model order reduction of integrated circuits in electrical networks: Michael Hinze, Martin Kunkel, Ulrich Matthes, and Morten Vierling.- 2 Element-based model reduction in circuit simulation: Andreas Steinbrecher and Tatjana Stykel.- 3 Reduced Representation of Power Grid Models: Peter Benner and Andrй Schneider.- 4 Coupling of numeric/symbolic reduction methods for generating parametrized models of nanoelectronic systems: Oliver Schmidt, Matthias Hauser, and Patrick Lang.- 5 Low-Rank Cholesky Factor Krylov Subspace Methods for Generalized Projected Lyapunov Equations: Matthias Bollhцfer and Andrй K. Eppler.- Index.
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