Computers & Geology, Volume 3: Geomathematical and Petrophysical Studies in Sedimentology presents a collection of papers concerned with interpretation of sediment properties from mechanical logs and seismic profiles. This book covers stimulation of groundwater flow, atmospheric conditions, bed thickness, and stratigraphic data. Organized into 17 chapters, this volume begins with an overview of the FORTRAN program designed to duplicate and simplify the mental processes that lead to an interpretation of a depositional setting. This text then examines a simple stochastic sedimentation model of turbidite sequences that assumes a bed thickness corresponding to a waiting time between turbidity currents. Other chapters consider the study of a system's response to different disturbances. This book discusses as well the Monte–Carlo model to reconstruct open-array correlation matrices from coefficients drawn from closed-percent systems. The final chapter deals with bivariate allometric equation. This book is a valuable resource for petroleum geologists and research workers.

Since founding at the 23rd International Geological Congress in Prague in 1968, the International Association for Mathematical Geology has organized sessions in conjunction with the Congress. The 27th IGC in Moscow was no exception and the IAMG again held sessions and assisted the Congress in organizing Section 20 -Mathematical Geology and Geological Information ( D. F. Merriam, D. A. Rodionov, and R. Sinding-Larsen, conveners). All together 128 abstracts were published in the technical proceedings. Several of the papers were published prior to the Congress, others were not available, and others deemed not appropriate for publication in this volume. This collection then contains those papers aVailable and representative of the sessions. The collection is truly international with contributions from Canada, China, France, Poland, the UK, USA, and USSR. They are representative of the state-of-the-art as of the early 1980s in a variety of fields. The application of geomathematics/geostatistics to geological problems has been hastened by the availability of computers. These papers reflect that orientation -most of the results would not have been possible without the use of computers. Most of the approaches utilize techniques readily aVailable and adapted to solving geological problems -simulation, image analysis, decision theory, fuzzy sets, etc. However, one area, that of geostatistiques which includes Kriging, has been designed especially for use by earth scientists of the French school to solve geological problems.

The pioneering work of Gus Archie moved log interpretation into log analysis with the introduction of the equation that bears his name. Subsequent developments have mixed empiricism, physics, mathematical algorithms, and geological or engineering models as methods applied to petrophysical measurements in boreholes all over the world. Principles of Mathematical Petrophysics reviews the application of mathematics to petrophysics in a format that crystallizes the subject as a subdiscipline appropriate for the workstations of today. The subject matter is of wide interest to both academic and industrial professionals who work with subsurface data applied to energy, hydrology, and environmental issues. This book is the first of its kind, in that it addresses mathematical petrophysics as a distinct discipline. Other books in petrophysics are either extensive descriptions of tool design or interpretation techniques, typically in an ad hoc treatment. It covers mathematical methods that are applied to borehole and core petrophysical measurements to estimate rock properties of fluid saturation, pore types, permeability, mineralogy, facies, and reservoir characterization. These methods are demonstrated by a variety of case studies and summaries of applications. Principles of Mathematical Petrophysics is an invaluable resource for all people working with data related to petrophysics.

The development and utilization of microcomputers is widespread and rapid in all scientific disciplines, geology being no exception. Microcomputers are becoming ubiquitous and indispensable in research and teaching as well as in the commercial sector. The applications that are available to the geologic community today are increasingly dynamic and sophisticated, although to date software has been the limiting factor. This volume provides an excellent source of software and ideas on applications. Papers cover a wide range of subjects both in geology and computer science. The applications range from reconstructing fossil shells to reconstructing landscape terrains, covering topics such as expert systems, simulations, database construction and data analysis and display.

Predictive Geology: With Emphasis on Nuclear-Waste Disposal covers the proceedings of papers presented at sessions sponsored by the International Association for Mathematical Geology. The topics that this book tackles are issues relevant to nuclear-waste disposal. The first chapter discusses the use of plate tectonics as a catastrophe theoretic model, and the second chapter covers geologic predictions and radioactive waste disposal. Chapter 3 also talks about radioactive waste disposal, with emphasis on the application of predictive geology. Chapter 4 discusses salt domes and Chapter 5 tackles the use of fault-tree analysis for probabilistic assessment of radioactive-waste segregation. The sixth chapter covers predictive geology in nuclear-waste management, while the seventh chapter tackles nuclear power on unstable ground. The eighth chapter deals with long-term thermohydrologic behavior of nuclear-waste repositories. Chapter 9 discusses the influence of faulting on groundwater flow and contaminant transport, while chapter 10 covers the influence of microfissures in crystalline rock on radionuclide migration. The eleventh chapter tackles the long-term prediction of the fate of nuclear waste deeply buried in granite, and the twelfth chapter talks about the use of quantitative evaluation of the contribution of geologic knowledge in exploration for petroleum. The last chapter deals with resource-estimation models and predicted discovery. Researchers and professionals concerned with the effects of radioactive materials to the environment will find this book a great source of information.

This book has been prepared by the collaborative effort of two somewhat separate technical groups: the researchers at the Institute for Petroleum and Organic Geochemistry, Forschungszentrum Jii lich (KFA), and the technical staff of Integrated Exploration Systems (IES). One of us, Donald R. Baker, from Rice University, Houston, has spent so much time at KFA as a guest scientist and researcher that it is most appropriate for him to contribute to the book. During its more than 20-year history the KFA group has made numerous and significant contributions to the understanding of petroleum evolution. The KFA researchers have emphasized both the field and laboratory approaches to such important problems as source rock recognition and evaluation, oil and gas generation, maturation of organic matter, expulsion and migration of hydrocarbons, and crude oil composition and alteration. IES Jiilich has been a leader in the development and application of numerical simulation (basin modeling) procedures. The cooperation between the two groups has resulted in a very fruitful synergy effect both in the development of modeling software and in its application. The purpose of the present volume developed out of the 1994 publication by the American Association of Petroleum Geologists of a collection of individually authored papers entitled The Petroleum System - From Source to Trap, edited by L. B. Magoon and W. G. Dow.

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.