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Fractal Solutions for Understanding Complex Systems in Earth Sciences 1st ed. 2016 [Hardback]

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  • Formāts: Hardback, 152 pages, height x width: 235x155 mm, weight: 454 g, 74 Illustrations, black and white; XIII, 152 p. 74 illus., 1 Hardback
  • Sērija : Springer Earth System Sciences
  • Izdošanas datums: 28-Nov-2015
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319246739
  • ISBN-13: 9783319246734
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  • Formāts: Hardback, 152 pages, height x width: 235x155 mm, weight: 454 g, 74 Illustrations, black and white; XIII, 152 p. 74 illus., 1 Hardback
  • Sērija : Springer Earth System Sciences
  • Izdošanas datums: 28-Nov-2015
  • Izdevniecība: Springer International Publishing AG
  • ISBN-10: 3319246739
  • ISBN-13: 9783319246734
Citas grāmatas par šo tēmu:
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 reprod

uce 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.

Introduction.- Scaling Laws in Geophysics: Application to Potential Fields of Methods Based on the Laws of Self-Similarity and Homeogeneity.- Curie Depth Estimation from Aeromagnetic for Fractal Distribution of Sources.- Fractal Faults: Implications in Seismic Interpretation and Geomodeling Detrended Fluctuation Analysis of Geophysical Well-Log Data.- Application of Fractal Geometry to Explain Fluid Flow through Subsurface Fractures.- Estimation and Application of Fractal Differential Adjacency Segregation (F-DAS) Scores in Analysis of Scanning Electron Micro Graph (SEM) Imageries towards Understanding the Adsorption unto Porous Solids.- The Multi-Fractal Scaling Behaviour of Seismograms based on the Detrended Fluctuation Analysis.- Fractal Methods in the Investigation of the Time Dynamics of Fires: A Review.
Scaling Laws in Geophysics: Application to Potential Fields of Methods Based on the Laws of Self-similarity and Homogeneity
1(18)
Maurizio Fedi
Curie Depth Estimation from Aeromagnetic for Fractal Distribution of Sources
19(14)
A.R. Bansal
V.P. Dimri
Raj Kumar
S.P. Anand
Fractal Faults: Implications in Seismic Interpretation and Geomodelling
33(14)
Ravi Prakash Srivastava
Detrended Fluctuation Analysis of Geophysical Well-Log Data
47(20)
D. Subhakar
E. Chandrasekhar
Fractal Characters of Porous Media and Flow Analysis
67(12)
Pallavi Banerjee Chattopadhyay
Nimisha Vedanti
Estimation and Application of Fractal Differential Adjacency Segregation (F-DAS) Scores in Analysis of Scanning Electron Micrograph (SEM) Imageries Towards Understanding the Adsorption unto Porous Solids
79(20)
Ashutosh Das
K. Ravikumar
B. Subramanyam
Mukesh Goel
V. Sri Hari
G.V. Rajamanickam
The Multi-fractal Scaling Behavior of Seismograms Based on the Detrended Fluctuation Analysis
99(18)
Simanchal Padhy
Fractal Methods in the Investigation of the Time Dynamics of Fires: An Overview
117
Luciano Telesca