Quantification And Prediction Of Hydrocarbon Resources

The oil price shocks of the mid-1980s and their aftermath created radical changes in the petroleum industry, and underlined the need for reliable information on petroleum resources. Integration between the disciplines of petroleum geology, exploration geophysics, reservoir/petroleum engineering and economics became a necessity for resource management and strategic planning. This volume is designed to bring together some of the best techniques evolved to meet these challenges. The very broad scope of the volume, ranging from the macro (global) to micro (field and prospect) level, provides an overview of the thought processes currently prevalent in the industry and academia on the subject of resource quantification and prediction. This is one of the first books to cover the extensive assembly of hydrocarbon quantification and prediction techniques - of value to petroleum industry management, geoscientists, engineers and economists. Containing hundreds of illustrations, some in colour, the book is arranged in 26 chapters with a detailed subject index. Many service companies and university departments with links to the industry will also find much to interest them.

Unconventional Hydrocarbon Resources Enables readers to save time and effort in exploring and exploiting shale gas and other unconventional fossil fuels by making use of advanced predictive tools Unconventional Hydrocarbon Resources highlights novel concepts and techniques for the geophysical exploration of shale and other tight hydrocarbon reservoirs, focusing on artificial intelligence approaches for modeling and predicting key reservoir properties such as pore pressure, water saturation, and wellbore stability. Numerous application examples and case studies present real-life data from different unconventional hydrocarbon fields such as the Barnett Shale (USA), the Williston Basin (USA), and the Berkine Basin (Algeria). Unconventional Hydrocarbon Resources explores a wide range of reservoir properties, including modeling of the geomechanics of shale gas reservoirs, petrophysics analysis of shale and tight sand gas reservoirs, and prediction of hydraulic fracturing effects, fluid flow, and permeability. Sample topics covered in Unconventional Hydrocarbon Resources include: Calculation of petrophysical parameter curves for non-conventional reservoir modeling and characterization Comparison of the Levenberg-Marquardt and conjugate gradient learning methods for total organic carbon prediction in the Barnett shale gas reservoir Use of pore effective compressibility for quantitative evaluation of low resistive pays and identifying sweet spots in shale reservoirs Pre-drill pore pressure estimation in shale gas reservoirs using seismic genetic inversion Using well-log data to classify lithofacies of a shale gas reservoir Unconventional Hydrocarbon Resources is a valuable resource for researchers and professionals working on unconventional hydrocarbon exploration and in geoengineering projects.

A comprehensive textbook presenting techniques for the analysis and characterization of shale plays Significant reserves of hydrocarbons cannot be extracted using conventional methods. Improvements in techniques such as horizontal drilling and hydraulic fracturing have increased access to unconventional hydrocarbon resources, ushering in the “shale boom” and disrupting the energy sector. Unconventional Hydrocarbon Resources: Techniques for Reservoir Engineering Analysis covers the geochemistry, petrophysics, geomechanics, and economics of unconventional shale oil plays. The text uses a step-by-step approach to demonstrate industry-standard workflows for calculating resource volume and optimizing the extraction process. Volume highlights include: Methods for rock and fluid characterization of unconventional shale plays A workflow for analyzing wells with stimulated reservoir volume regions An unconventional approach to understanding of fluid flow through porous media A comprehensive summary of discoveries of massive shale resources worldwide Data from Eagle Ford, Woodford, Wolfcamp, and The Bakken shale plays Examples, homework assignments, projects, and access to supplementary online resources Hands-on teaching materials for use in petroleum engineering software applications The American Geophysical Union promotes discovery in Earth and space science for the benefit of humanity. Its publications disseminate scientific knowledge and provide resources for researchers, students, and professionals.

Quantitative resource assessment methods play an increasing role in exploration for petroleum, water and minerals. This volume presents an international review on the state-of-the-art of the computerized methodology in resource exploration. The papers taken from those presented at the symposium are classified to either techniques, i.e., trend analysis; classification techniques; geostatistics; image analysis; expert systems/artificial intelligence; inventories; tomography and others, or to resources, i.e., petroleum, water, metals and non-metals.

This book presents the authors' research findings on the dynamics of oil migration, research methodologies, insights and applications in petroliferous basins. It studies the behaviors of oil migration in porous media through physical experiments and numerical simulations, explores the mechanism of oil migration and effects of migration process, and then establishes a migration modeling method by coupling the source, driving forces and carriers. The new method can be used to estimate the amount of migrated hydrocarbons and then predict the location of possible hydrocarbon accumulations in different parts of a basin. This approach is useful for resources assessment and prediction of the distribution of hydrocarbon accumulations. An example utilizing this methodology is presented to study the dynamics of migration and accumulation processes in the southern slope of Dongying Depression in Bohai Bay Basin in China. The book appeals to scientists and professionals working on petroleum prospecting as well as faculty and students in petroleum geology.

This volume contains the edited papers prepared by lecturers and participants of the NATO Advanced Study Institute on "Statistical Treatments for Estimation of Mineral and Energy Resources" held at II Ciocco (Lucca), Italy, June 22 - July 4, 1986. During the past twenty years, tremendous efforts have been made to acquire quantitative geoscience information from ore deposits, geochemical, geophys ical and remotely-sensed measurements. In October 1981, a two-day symposium on "Quantitative Resource Evaluation" and a three-day workshop on "Interactive Systems for Multivariate Analysis and Image Processing for Resource Evaluation" were held in Ottawa, jointly sponsored by the Geological Survey of Canada, the International Association for Mathematical Geology, and the International Geological Correlation Programme. Thirty scientists from different countries in Europe and North America were invited to form a forum for the discussion of quantitative methods for mineral and energy resource assessment. Since then, not only a multitude of research projects directed toward quantitative analysis in the Earth Sciences, but also recent advances in hardware and software technology, such as high-resolution graphics, data-base management systems and statistical packages on mini and micro-computers, made it possible to study large geoscience data sets. In addition, methods of image analysis have been utilized to capture data in digital form and to supply a variety of tools for charaterizing natural phenomena.

This book introduces a complete quantitative evaluation system of the Whole Petroleum System (WPS) on theory and expounds the correlation and difference between conventional and unconventional oil and gas reservoirs and resources, with large number of well-prepared charts and novel expressions. It has important guiding significance for the exploration and development of conventional and unconventional oil and gas all over the world and provides valuable insights for reader with an interest in petroleum geology.

Energy is the lifeline of modern society and has shaped the world from the end of the 19th century. Modern life, as we know it requires energy. The supply of most fossil source of energy (coal, oil) is finite and declining because of ever increasing demand. Patterns of demand and supply of energy have been changing: while consumption in some countries has declined, industrial development of countries of the third world and the eastern block (previously thought politically impossible) has begun to result in an ever increasing demand for energy and thus, raw material in these countries. So has the rise in global population. Shifts in supply of and demand for energy will force the establishment of new supply structures for fossil energy and electric power. At the same time environmental price for the use of fossil fuels and its impact on climate are beginning to be recognized and understood. address and comment new developments, focussing on future energy consumption, diversification of energy sources, impact of renewable sources of energy, deep natural gas, nuclear power, and geothermal energy. Papers also address the role of coal deposits as a source of secondary gas, european research on future sources of energy and the role of the countries of the former USSR as suppliers of hydrocarbons. The contributions should be of interest to anybody interested in energy management, economy and earth resources.

Earth science is becoming increasingly quantitative in the digital age. Quantification of geoscience and engineering problems underpins many of the applications of big data and artificial intelligence. This book presents quantitative geosciences in three parts. Part 1 presents data analytics using probability, statistical and machine-learning methods. Part 2 covers reservoir characterization using several geoscience disciplines: including geology, geophysics, petrophysics and geostatistics. Part 3 treats reservoir modeling, resource evaluation and uncertainty analysis using integrated geoscience, engineering and geostatistical methods. As the petroleum industry is heading towards operating oil fields digitally, a multidisciplinary skillset is a must for geoscientists who need to use data analytics to resolve inconsistencies in various sources of data, model reservoir properties, evaluate uncertainties, and quantify risk for decision making. This book intends to serve as a bridge for advancing the multidisciplinary integration for digital fields. The goal is to move beyond using quantitative methods individually to an integrated descriptive-quantitative analysis. In big data, everything tells us something, but nothing tells us everything. This book emphasizes the integrated, multidisciplinary solutions for practical problems in resource evaluation and field development.