Reservoir simulation has been in practice for more than 50 years, but it has recently gained significant momentum because of its wider application to the increasingly complex reservoir systems of today. Reservoir Simulation: Problems and Solutions provides petroleum engineers with extensive practice in the art of problem solving, strengthening their critical-thinking solution strategies and preparing them for the unique problems they will encounter in this dynamic field. Built on the fundamental concepts and solutions of the original exercises found in Basic Applied Reservoir Simulation (Turgay Ertekin, Jamal H. Abou-Kassem, and Gregory R. King), this new book provides an additional 180 exercises and solutions that fully illustrate the intricacies of reservoir-simulation methodology. Turgay Ertekin is Professor Emeritus of Petroleum and Natural Gas Engineering at the Pennsylvania State University, where he has been a member of the faculty for more than 40 years. Qian Sun is a research engineer at New Mexico Institute of Mining and Technology. His research focuses mainly on numerical reservoir simulation and artificial-intelligence applications in reservoir Engineering. Jian Zhang is a PhD graduate at Penn State. His research focuses on rate- and pressure-transient analysis, numerical reservoir simulation, artificial neural networks and neuro-simulation.

Reservoir Simulation - Problems and Solutions: Textbook 18

Business & Money

Zhang, Jian

Ertekin, Turgay

Sun, Qian

Industries

Society of Petroleum Engineers

<div>Energy cooperation in northeast Asia is proceeding slowly. It is necessary to promote energy cooperation in northeast Asia further to ensure energy security of all countries in the region. In recent years, many changes have taken place in the world energy landscape, bringing new opportunities for energy cooperation in northeast Asia. Firstly, increased oil and gas production in North America has increased Russia's willingness to deepen energy cooperation with northeast Asian countries. Secondly, the low oil price in the world brings opportunities for the construction and cooperation of energy reserves in northeast Asia. Thirdly, the diversification of energy import in northeast Asia is conducive to the construction and cooperation of energy and financial markets in northeast Asia. Fourth, shale oil and gas investment cooperation will be the new content of energy cooperation in northeast Asia. In addition, China's "One Belt And One Road" initiative will also boost the energy cooperation in northeast Asian. Northeast Asian countries should rethink how to promote the energy cooperation in northeast Asian further.</div>

Energy Cooperation in Northeast Asia: Challenges and Opportunities

王蠡

Zou, Bowen

Zhang, Yanzhe

Paths Publishing Group

Over the past two decades, extensive research has been conducted on the application of fiber-optic sensors (FOSs) in structural health monitoring (SHM). In Volume 1 of this book a long-gauge sensing technique for incorporating a proposed areawise sensing, developed by the authors, was introduced. High precision and good durability of the long-gauge sensors were also demonstrated via technical improvements that further enable the applications of optical fiber sensors and carbon fiber sensors. In Volume 2, based on the merits of the long-gauge sensors, the methods that have been developed for processing areawise distributed monitoring data for structural identification are introduced. A discussion follows on how those methods are capable of performing a rich recognition of local and global structural parameters including structural deflections, dynamic characteristics, damages, and loads. Also presented is a three-level method of structural performance evaluation that utilizes monitoring data and identified results.

Fiber-Optic Sensors For Infrastructure Health Monitoring, Volume II: Methodology and Case Studies

Engineering & Transportation

Wu, Zhishen

Noori, Mohammad

Engineering

Momentum Press

Structural health monitoring (SHM) can be characterized as the integration of sensing and intelligence to enable the potential damage to be monitored, analyzed, localized, and predicted in real time and in a nondestructive manner. Over the past two decades, extensive research has demonstrated that fiber-optic sensors (FOSs) are well suited for SHM sensing requirements in infrastructure systems. In this book, a brief overview of SHM and the application of FOS are presented. The book focuses on advanced techniques that utilize fiber-optic long-gauge sensing and overcome the limitations of traditional sensing and fulfill the requirements of infrastructure systems. The long-gauge FOSs have the merit of revealing both micro- and macrolevel information. Subsequently, a new approach, areawise distributed monitoring, is thoroughly discussed and its superior performance in SHM demonstrated. Finally, the application of areawise distributed monitoring, combined with the aforementioned long-gauge sensing technique, is presented for groups and networks of complex infrastructure systems.

Fiber-Optic Sensors For Infrastructure Health Monitoring, Volume I: Introduction and Fundamental Concepts

This book introduces several observer-based methods, including:• the sliding-mode observer• the adaptive observer• the unknown-input observer and• the descriptor observer methodfor the problem of fault detection, isolation and estimation, allowing readers to compare and contrast the different approaches. The authors present basic material on Lyapunov stability theory, H¥ control theory, sliding-mode control theory and linear matrix inequality problems in a self-contained and step-by-step manner. Detailed and rigorous mathematical proofs are provided for all the results developed in the text so that readers can quickly gain a good understanding of the material. MATLAB® and Simulink® codes for all the examples, which can be downloaded from http://extras.springer.com, enable students to follow the methods and illustrative examples easily. The systems used in the examples make the book highly relevant to real-world problems in industrial control engineering and include a seventh-order aircraft model, a single-link flexible joint robot arm and a satellite controller. To help readers quickly find the information they need and to improve readability, the individual chapters are written so as to be semi-independent of each other.Robust Oberserver-Based Fault Diagnosis for Nonlinear Systems Using MATLAB® is of interest to process, aerospace, robotics and control engineers, engineering students and researchers with a control engineering background.

Robust Observer-Based Fault Diagnosis for Nonlinear Systems Using MATLAB® (Advances in Industrial Control)

Computers & Technology

Nguang, Sing Kiong

Swain, Akshya Kumar

Computer Science

Springer

MATLAB® and Simulink® files for all the examples.

This book reviews the state-of-the-art in combinatorial testing, with particular emphasis on the automatic generation of test data. It describes the most commonly used approaches in this area - including algebraic construction, greedy methods, evolutionary computation, constraint solving and optimization - and explains major algorithms with examples. In addition, the book lists a number of test generation tools, as well as benchmarks and applications. Addressing a multidisciplinary topic, it will be of particular interest to researchers and professionals in the areas of software testing, combinatorics, constraint solving and evolutionary computation.

Automatic Generation of Combinatorial Test Data (SpringerBriefs in Computer Science)

Zhang, Zhiqiang

Ma, Feifei

Chao Study (Paperback)

Academy Press; 1 (January 1. 2005)

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