Reservoir Engineering

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#No_65 Description: Developed in conjunction with several oil companies using experimental data for real reservoir fluids, Phase Behavior of Petroleum Reservoir Fluids introduces industry standard methods for modeling the phase behavior of petroleum reservoir fluids at different stages in the process. Keeping mathematics to a minimum, this book discusses sampling, characterization, compositional analyses, and equations of state used to simulate various pressure–volume–temperature (PVT) properties of reservoir fluids. The Third Edition has been updated throughout.

Petroleum geochemistry is a vital domain in the exploration of oil and gas resources, as it involves in-depth analyses of source rocks and the fluids they produce. By applying general chemistry principles, petroleum geochemistry delves into the intricate processes of origin, generation, migration, accumulation, and alteration of petroleum found in organic-rich fine-grain sedimentary rocks. Traditionally, geochemistry methods have relied on bulk samples to provide insights at a macro or basin scale. However, the surge in unconventional shale plays has exposed the limitations of these conventional methods, especially in meeting our needs for nano to micron scale information. The heterogeneity of these resources leads to signifi-cant variations in chemistry and formation attributes, occurring at an exceptionally fine scale from source to reservoir rocks, given their close proximity. While conven-tional methods are adequate for understanding hydrocarbon generation, migration, and accumulation in a broader context, they fall short when it comes to examining finer-scale characteristics. Addressing these challenges is paramount for advancing our understanding of petroleum systems. To overcome these limitations, researchers must embrace advanced analytical instrumentation, including cutting-edge techniques like Raman spectroscopy, atomic force microscopy-infrared (AFM-IR), nuclear magnetic reso-nance (NMR), and mass spectroscopy. These innovative approaches open new possibilities for unveiling intricate details and resolving ambiguities in unconven-tional resources. By incorporating these advanced methods, petroleum geochem-istry can provide robust answers to the remaining questions in the field and enable comprehensive evaluations of these valuable energy resources. In this context, the presented monograph proposes novel methods that have recently emerged in the realm of petroleum geochemistry, with a primary focus on the evaluation of source rocks. As a crucial aspect of organic geochemistry, source rock analysis involves examining organic-rich fine-grain sediments for their thermal maturity, production potential, chemical structure evolution during burial history, and migration patterns. Traditionally, this type of analysis has mainly relied on bulk rock samples, neglecting finer-scale studies at the nano or micro levels. However, with the rise of unconventional resources like shale oil and gas, where organic-rich fine-grain sediments act as both reservoir and source rocks, and hydrocarbons migrate over short distances, conventional methods like programmed pyrolysis prove insufficient to meet the evolving needs of petroleum geochemists and geologists. In response to these evolving demands, the monograph unveils cutting-edge techniques that go beyond traditional petroleum geochemistry procedures, offering a more comprehensive understanding of petroleum systems. These innovative methods, such as Raman spectroscopy, NMR, AFM-IR, and XPS spectroscopy, are based on advanced and recently developed instrumentation, enabling a multi-scale approach to studying petroleum systems. The monograph seamlessly integrates these unconventional analytical techniques with traditional methods, demonstrating how they can be correlated to reveal a wealth of information at different scales, from the nano to the macro level. Throughout the book, the authors generously provide data, images, and detailed explanations of the methods, data collection, interpretation of results, and intercorrelated characteristics of the study specimens. By embracing this amalgamation of advanced and traditional techniques, petroleum geochemists can unlock new insights into the mechanisms of petroleum generation, expulsion, migration, and accumulation in reservoirs from the source rock. The integration of these innovative analytical tools paves the way for a more profound and comprehensive understanding of petroleum systems and their inherent complexities, ultimately shaping the future of energy exploration and exploitation. Mehdi Ostadhassan, Ph.D. #No_64

#No_63 Description: This book Understanding Pore Space through Log Measurements deals with porosity, insight on pore shape connectedness, grain size, grain aspect ratio, permeability etc. Most of the published literature is focused on permeability from log measurements and log analytic techniques for porosity and fluid saturation determination. On the other hand, this book aims at looking at porosity distribution, pore shape, and pore connectedness using log measurements and thus bringing pore space into focus. A compilation of available knowledge from this perspective will lead the reader to better understanding of reservoir characterization takeaways, which exploration and exploitation managers and workers will be looking for. Offers insight into influence of pore attributes on macroscopic pore space descriptors Grain characters that influence the properties of the pore space. Guides on how to best model the inversion of log data into these attributes.

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*Petroleum Engineering Courses* 🫶 25.14 Fundamentals of Formation Testing ( Schlumberger ) #No_25 Restart the adventure: The general formation evaluation workflow consists of delineating the reservoir using seismic information and well-to-well correlations, evaluating the volume of reserves, and then determining the fluids present and the ability to produce them. Logs provide initial information on the fluid type and producibility. Testing provides confirmation, detailed fluid properties, accurate pressure measurements and production evaluation. Formation testing is the final evaluation step before the well is put into production and provides essential information to design the well completion and production facilities. Two different technologies can be used for testing: Wireline formation testing uses a sonde that can be positioned at a selected depth in the formation to provide accurate measurements of pressure and fluid type but limited production data. Well testing uses a packer lowered on drillpipe or tubing. The tested interval is not precisely defined and downhole measurements are limited, but the volume of fluid produced enables complete evaluation of production potential. This book will describe the advantages and limitations of both formation testing techniques and how they complement each other.

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#No_62 Description: This book covers well testing methods included the latest developments in the field. It explains classic topics in depth, in depth such as layered reservoirs, naturally fractured reservoirs, and wellbore effects, and also newer developments, such as well testing for horizontal wells. This book is perfect reference for junior and senior reservoir, production, and geology engineers, who want to improve their knowledge of well test analysis and current best practices. The book is a valuable addition to any reservoir and production engineer's library.

Smart Proxy Modeling: Artificial Intelligence and Machine Learning in Numerical Simulation #No_61 Description: Numerical simulation models are used in all engineering disciplines for modeling physical phenomena to learn how the phenomena work, and to identify problems and optimize behavior. Smart Proxy Models provide an opportunity to replicate numerical simulations with very high accuracy and can be run on a laptop within a few minutes, thereby simplifying the use of complex numerical simulations, which can otherwise take tens of hours. This book focuses on Smart Proxy Modeling and provides readers with all the essential details on how to develop Smart Proxy Models using Artificial Intelligence and Machine Learning, as well as how it may be used in real-world cases.