This book deals with fractals in understanding problems encountered in earth science and their
solutions. It starts with an analysis of two classes of methods (homogeneous fractals random
models and homogeneous source distributions or one point distributions) widely diffused in the
geophysical community especially for studying potential fields and their related source
distributions. Subsequently the use of fractals in potential fields is described by scaling
spectral methods for estimation of curie depth. The book also presents an update of the use of
the fractal concepts in geological understanding of faults and their significance in geological
modelling of hydrocarbon reservoirs. Geophysical well log data provide a unique description of
the subsurface lithology here the Detrended Fluctuation Analysis technique is presented in
case studies located off the west-coast of India. Another important topic is the fractal model
of continuum percolation which quantitatively reproduce the flow path geometry by applying the
Poiseuille's equation. The pattern of fracture heterogeneity in reservoir scale of natural
geological formations can be viewed as spatially distributed self-similar tree structures here
the authors present simple analytical models based on the medium structural characteristics to
explain the flow in natural fractures. The Fractal Differential Adjacent Segregation (F-DAS) is
an unconventional approach for fractal dimension estimation using a box count method. The
present analysis provides a better understanding of variability of the system (adsorbents -
adsorbate interactions). Towards the end of book the authors discuss multi-fractal scaling
properties of seismograms in order to quantify the complexity associated with high-frequency
seismic signals. Finally the book presents a review on fractal methods applied to fire point
processes and satellite time-continuous signals that are sensitive to fire occurrences.
