Megjelent: Springer Nature Switzerland, Cham, Svájc, 537 p. 2024
Azonosítók
MTMT: 35182338
Szakterületek:
Tudomány
The book is a systematic and comprehensive treatment of the powerful stochastic
models and computational tools that have emerged in Rock Physics in the last 30
years. In its spirit, scope and style, it is a sequel to my previous book, G. Korvin,
“Fractal Models in the Earth Sciences” (Amsterdam: Elsevier, 1992), that was well
received at the time it appeared, and has introduced generations of Earth Scientists
to
modeling Earth formations and processes by fractals. Two years ago, I was asked by
the editors of Springer’s Encyclopedia of Mathematical Geosciences to contribute a
few chapters to this important reference book, and when working on one of them,
“Statistical Rock Physics”, I realized that this new discipline has reached such a
matu-
rity in recent years that it would deserve a self-consistent, full-fledged, monographic
treatment. I am grateful to Profs. Fritz Agterberg and Daya Sagar for recommending
my book for publication, and to Springer Nature, especially to Ms. Anette Buet-
tner, Ms. Hemavathy Manivannan, and Ms. Deepa Varadharajan, for espousing this
idea and for helping me through the arduous process of book writing, editing and
processing.
Statistical Rock Physics is a part of Rock Physics (Petrophysics). Its concepts,
methods and techniques have been borrowed from Stochastic and Integral Geometry
and Statistical Physics. In this new science, one describes the interior geometry
of
rocks; derives their effective physical properties based on their random composi-
tion and the random arrangement of their constituents; and builds models to simu-
late the past geological processes that had formed the rock. Most techniques that
will be discussed belong to the toolbox of the “Digital Rock Physics” (DRP) tech-
nology of Core Analysis. My aim has been to help readers to understand the claims
and published results of these powerful new methods, and—most importantly—to
creatively apply stochastic geometry and statistical physics to their own research
tasks. My own understanding of these tools had matured by incorporating them, and
teaching them for more than two decades in a heuristically simplified but mathemat-
ically precise form, in my Geophysical Inversion, Solid Earth Geophysics, Reservoir
Characterization, Well Logging and other courses at the King Fahd University of
Petroleum and Minerals (Dhahran, Kingdom of Saudi Arabia)