Artificial Intelligence for Subsurface Characterization and Monitoring provides an in-depth examination of how deep learning accelerates the process of subsurface characterization and monitoring and provides an end-to-end solution. In recent years, deep learning has been introduced to the geoscience community to overcome some longstanding technical challenges. This book explores some of the most important topics in this discipline to explain the unique capability of deep learning in subsurface characterization for hydrocarbon exploration and production and for energy transition. Readers will discover deep learning methods that can improve the quality and efficiency of many of the key steps in subsurface characterization and monitoring.The text is organized into five parts. The first two parts explore deep learning for data enrichment and well log data, including information extraction from unstructured well reports as well as log data QC and processing. Next is a review of deep learning applied to seismic data and data integration, which also covers intelligent processing for clearer seismic images and rock property inversion and validation. The closing section looks at deep learning in time lapse scenarios, including sparse data reconstruction for reducing the cost of 4D seismic data, time-lapse seismic data repeatability enforcement, and direct property prediction from pre-migration seismic data.
Implementation and Interpretation of Machine and Deep Learning to Applied Subsurface Geological Problems: Prediction Models Exploiting Well-Log Information explores machine and deep learning models for subsurface geological prediction problems commonly encountered in applied resource evaluation and reservoir characterization tasks. The book provides insights into how the performance of ML/DL models can be optimized—and sparse datasets of input variables enhanced and/or rescaled—to improve prediction performances. A variety of topics are covered, including regression models to estimate total organic carbon from well-log data, predicting brittleness indexes in tight formation sequences, trapping mechanisms in potential sub-surface carbon storage reservoirs, and more.Each chapter includes its own introduction, summary, and nomenclature sections, along with one or more case studies focused on prediction model implementation related to its topic.
Seismic Geology and Basin Analysis: Case Studies on Sedimentary Basins in China introduces the principles, approaches and techniques needed to solve problems using seismic data calibrated with well log, cores and outcrop profiles. The book emphasizes the adoption of seismic techniques into basin analysis and broadens the usage of seismic data in geological research which may be referred to as “seismic geology.” The principle of the book is mainly summarized from a series of case studies in different basins in China. In addition, through this book readers can understand the primary characteristics and basin fill evolution of major petroleum basins around the world. When starting research on a basin, researchers and professionals are confronted with how to reveal the general architecture of basin fills and depict three-dimensional geometry, and the internal architecture of subsurface depositional bodies and their arrangement, hence this book is a great tome on necessary areas of exploration.
Regional Geology and Tectonics, Volume Two: Phanerozoic Rift Systems and Sedimentary Basins, Second Edition, the second volume in a three-volume series, covers Phanerozoic regional geology and tectonics. This new edition features summaries of analogue and theoretical models, with new chapters on deepwater foldbelts and lithospheric extension as well as case studies on volcanic and passive margin basins. Experience in analyzing and assessing rifts— locations where the Earth’s outer shell and crust have been stretched over time by seismic activity—is critical for identifying Earth’s most lucrative hydrocarbon locations in which extraction is both efficient and safe, hence this updated volume is a necessary guide.Vast compilations of related industry data presented include regional seismic lines and cross sections and summaries of analogue and theoretical models, making this an essential backdrop to the structure and stratigraphy of various geological settings.
Petrophysics: Theory and Practice of Measuring Reservoir Rock and Fluid Transport Properties, Fifth Edition is a seminal text on the field that delivers information for reservoir engineers, production engineers, and geoscience students who need to understand rock-fluid interactions in order to maximize reservoir performance and minimize emissions and environmental impacts. This new edition lays a foundation to petroleum geology, including an overview of pre- and post- carbon emission concerns, porosity and permeability, formation resistivity and water saturation, capillary pressure, wettability, applications of Darcy’s Law, naturally fractured reservoirs, stress effects on reservoir rock, reservoir characterization and well logs, and more.Each chapter synthesizes relevant theory, studies and advances, methods, procedures, calculations, definitions, exercises and assignments designed to reinforce learning.
Small Angle X-Ray and Neutron Scattering with Applications to Geomaterials provides techniques for the analysis of geomaterials, which is of great significance for humans because geomaterials are related to earthquake, resource development, underground spaces, carbon dioxide storage, and more. The book introduces the fundamental theory of small angle X-ray and neutron scattering and covers pore accessibility characterization for natural rocks from four aspects, including quantitative evaluation of pore structure heterogeneity and anisotropy, quantification of pore modification in coals due to pulverization, estimation and modeling of coal pore accessibility, and nanoscale coal deformation and alteration of porosity and pore orientation under uniaxial compression. Finally, interactions between pore structures and fluid behaviors in geomaterials are introduced, along with the connections between small-angle scattering and other techniques (NMR cytophotometry, Transmission Electron Microscopy and synchrotron radiation SAXS and nano-CT) described.
Fluid-Solid Interactions in Upstream Oil and Gas Applications, Volume 78 delivers comprehensive understanding of fluid-rock interactions in oil and gas reservoirs and their impact on drilling, production, and reservoir hydrocarbon management. The book is arranged based on intervals of the oil and gas production process and introduces the basics of reservoir fluids and their properties, along with the rheological behavior of solid-fluid systems across all stages of the reservoir, including drilling processes, acidizing, and fracking. The reference then addresses different application-specific issues, such as solid-fluid interactions in tight reservoirs, the applications of nanoparticles, interactions during the EOR processes, and environmental concerns.
Reserves Estimation for Geopressured Gas Reservoirs aims to introduce the principles and methods for calculating reserves of geopressured gas reservoirs with the material balance method, presenting advantages, disadvantages and applicable conditions of various methods. The book, based on manual analysis, explains methods and calculation steps with more than 30 gas reservoir examples. It will help gas reservoir engineers learn basic principles and calculation methods and familiarize themselves with the content of the software Black Box, which in turn helps improve the level of gas field performance analysis and the level of gas field development.
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.
An Introduction to Petroleum Reservoir Simulation is aimed toward graduate students and professionals in the oil and gas industry working in reservoir simulation. It begins with a review of fluid and rock properties and derivation of basic reservoir engineering mass balance equations. Then equations and approaches for numerical reservoir simulation are introduced. The text starts with simple problems (1D, single phase flow in homogeneous reservoirs with constant rate wells) and subsequent chapters slowly add complexities (heterogeneities, nonlinearities, multi-dimensions, multiphase flow, and multicomponent flow). Partial differential equations and finite differences are then introduced but it will be shown that algebraic mass balances can also be written directly on discrete grid blocks that result in the same equations. Many completed examples and figures will be included to improve understanding. An Introduction to Petroleum Reservoir Simulation is designed for those with their first exposure to reservoir simulation, including graduate students in their first simulation course and working professionals who are using reservoir simulators and want to learn more about the basics.