Integrated Waterflood Asset Management

Waterflooding is one of the most important methods of improving recovery from oil reservoirs. With the economic uncertainty of various enhanced oil recovery techniques (due to oil price instability) waterflooding optimization is more significant than ever. This book provides a thorough understanding of the practical approach to waterflood asset management. It uses multidisciplinary integrated teams and resource management practices to enhance hydrocarbon recovery and maximize profitability. Satter and Thakur are co-authors of PennWell Books' bestseller, Integrated Reservoir Management: A Team Approach. Readers Will Learn: the fundamentals of waterflood management and multidisciplinary technology; the team approach to management through real-life examples; and the integration of engineering, geology and geophysics with operations, research, economics, and legal/environmental processes for effective waterflood asset management.

Waterflooding is one of the most important methods of improving recovery from oil reservoirs. With the economic uncertainty of various enhanced oil recovery techniques (due to oil price instability) waterflooding optimization is more significant than ever. This book provides a thorough understanding of the practical approach to waterflood asset management. It uses multidisciplinary integrated teams and resource management practices to enhance hydrocarbon recovery and maximize profitability. Satter and Thakur are co-authors of PennWell Books' bestseller, Integrated Reservoir Management: A Team Approach. Readers Will Learn: the fundamentals of waterflood management and multidisciplinary technology; the team approach to management through real-life examples; and the integration of engineering, geology and geophysics with operations, research, economics, and legal/environmental processes for effective waterflood asset management.

Master the techniques and best practices that will lead to better reservoir engineering and management decisions. Technically diverse and easy to understand, this book expertly links concepts and terminology to create an interdisciplinary approach for solving everyday reservoir engineering problems. It begins with an overview of reservoir management, including geophysics, geology, and petrophysics. Methods- and applications-oriented chapters provide guidance for assessment of subsurface environments, formulation of multi-phase fluid equations, and understanding of modern fluid displacement concepts. All exercises and case studies are based on the author's 30 years of experience and appear at the conclusion of each chapter with hints; full solutions can be found on the companion website. In addition, the website features supplementary case studies and modeling exercises supported by an author-generated computer program. With this book, professionals have a versatile reference that can be readily used as a quick resource or as a guide for self-study.

Oil and Gas Chemistry Management Series brings an all-inclusive suite of tools to cover all the sectors of oil and gas chemicals from drilling, completion to production, processing, storage, and transportation. The third reference in the series, Recovery Improvement, delivers the critical chemical basics while also covering the latest research developments and practical solutions. Organized by the type of enhanced recovery approaches, this volume facilitates engineers to fully understand underlying theories, potential challenges, practical problems, and keys for successful deployment. In addition to the chemical, gas, and thermal methods, this reference volume also includes low-salinity (smart) water, microorganism- and nanofluid-based recovery enhancement, and chemical solutions for conformance control and water shutoff in near wellbore and deep in the reservoir. Supported by a list of contributing experts from both academia and industry, this book provides a necessary reference to bridge petroleum chemistry operations from theory into more cost-efficient and sustainable practical applications. Covers background information and practical guidelines for various recovery enhancement domains, including chapters on enhanced oil recovery in unconventional reservoirs and carbon sequestration in CO2 gas flooding for more environment-friendly and more sustainable initiatives Provides effective solutions to control chemistry-related issues and mitigation strategies for potential challenges from an industry list of experts and contributors Delivers both up-to-date research developments and practical applications, featuring various case studies

Groundwater is the largest natural resource in the world. The estimation of groundwater resources as well as their sustainable management are challenges for users, practitioners, managers, and decision-makers. These challenges can be solved based on the progress in three domains: (1) data modeling (2) data science, and (3) advanced systems of ground measurement and Earth data. This book contributes to the progress of groundwater characterization by addressing some challenges through applications and discussions of relevant case studies as well as new approaches. It contains six chapters that discuss various approaches and tools used to study and investigate the impacts of climate change and pollution risks. They also present techniques for accessing water that may contribute to sustainable exploitation and management of groundwater resources.

The utilization of machine learning (ML) techniques to understand hidden patterns and build data-driven predictive models from complex multivariate datasets is rapidly increasing in many applied science and engineering disciplines, including geo-energy. Motivated by these developments, Machine Learning Applications in Subsurface Energy Resource Management presents a current snapshot of the state of the art and future outlook for ML applications to manage subsurface energy resources (e.g., oil and gas, geologic carbon sequestration, and geothermal energy). Covers ML applications across multiple application domains (reservoir characterization, drilling, production, reservoir modeling, and predictive maintenance) Offers a variety of perspectives from authors representing operating companies, universities, and research organizations Provides an array of case studies illustrating the latest applications of several ML techniques Includes a literature review and future outlook for each application domain This book is targeted at practicing petroleum engineers or geoscientists interested in developing a broad understanding of ML applications across several subsurface domains. It is also aimed as a supplementary reading for graduate-level courses and will also appeal to professionals and researchers working with hydrogeology and nuclear waste disposal.