Streamline Numerical Well Test Interpretation

Machine Learning Techniques for Space Weather provides a thorough and accessible presentation of machine learning techniques that can be employed by space weather professionals. Additionally, it presents an overview of real-world applications in space science to the machine learning community, offering a bridge between the fields. As this volume demonstrates, real advances in space weather can be gained using nontraditional approaches that take into account nonlinear and complex dynamics, including information theory, nonlinear auto-regression models, neural networks and clustering algorithms. Offering practical techniques for translating the huge amount of information hidden in data into useful knowledge that allows for better prediction, this book is a unique and important resource for space physicists, space weather professionals and computer scientists in related fields.Toxicoepigenetics: Core Principles and Applications examines the core aspects of epigenetics, including chromatin biology, DNA methylation, and non-coding RNA, as well as fundamental techniques and considerations for studying each of these mechanisms of epigenetic regulation. Although its integration into the field of toxicology is in its infancy, epigenetics have taken center stage in the study of diseases such as cancer, diabetes, and neurodegeneration. Increasing the presence of epigenetics in toxicological research allows for a more in-depth understanding of important aspects of toxicology such as the role of the environment and lifestyle influencing the individual susceptibility to these effects and the trans-generational transmission of these health effects and susceptibilities. Methods chapters are included to help improve efficacy and efficiency of protocols in both the laboratory and the classroom. Toxicoepigenetics: Core Principles and Applications is an essential book for researchers and academics using epigenetics in toxicology research and study.The conventional and modern well test interpretation methods are an important tool in the petroleum engineer's toolkit. Used in the exploration and discovery phase of a field, they are performed to determine the quality of a well or to permit estimation of producing rates at different producing pressures. However once a field enters the middle and later development phase, the reservoir flow environment grows increasingly complex and conventional or modern methods do not satisfy the needs of old field development and evaluation. Based on over 10 years of field and research experience, Streamline Numerical Well Test Interpretation Theory and Method provides an effective method for the determination of residual oil distribution for the middle and mature phases of a field. One of the most advanced books available, the author explains the development history of well test theory, analyzes the limitation of modern well test interpretation method, and proposes the concept and framework of numerical well test. This is quickly followed by an introduction of basic principles and solution procedures of streamline numerical simulation theory and method. The book then systematically applies streamline numerical well test interpretation models to a multitude of reservoir types, ranging from single layer reservoir to multi-layer reservoirs. The book presents multi-parameter streamline numerical well test automatic match interpretation method based on double-population genetic algorithm, which lays the foundation to fast automatic match of numerical well test. The book introduces streamline numerical well test interpretation software with independent intellectual property right which is programmed based on the above theoretical studies.