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Estimation of 2‐D and 3‐D Fracture Densities from 1‐D Data — Experimental and Field Results
Author(s) -
Jiandong XU,
JACOBI Robert D.
Publication year - 2003
Publication title -
acta geologica sinica ‐ english edition
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.444
H-Index - 61
eISSN - 1755-6724
pISSN - 1000-9515
DOI - 10.1111/j.1755-6724.2003.tb00129.x
Subject(s) - fracture (geology) , borehole , geology , series (stratigraphy) , mineralogy , geometry , mathematics , geotechnical engineering , paleontology
  2‐D and 3‐D densities of fractures are commonly used in mining safety design, natural gas and oil production in fractured reservoirs, and the characterization of subsurface flow and transportation systems in fractured rocks. However, many field data sets are collected in 1‐D frequency ( f ) (e.g., scanlines and borehole data). We have developed an ARC/INFO‐based technology to calculate fracture frequency and densities for a given fracture network. A series of numerical simulations are performed in order to determine the optimal orientation of a scanline, along which the maximum fracture frequency of a fracture network can be obtained. We calculated the frequency ( f ) and densities (both D 1 and D 2 ) of 36 natural fracture trace maps, and investigated the statistical relationship between fracture frequency and fracture density D 1 , i.e. D 1 =1.340 f + 0.034. We derived analytical solutions for converting dimensional density ( D 1 ) to non‐dimensional densities ( D 2 and D 3 ) assuming that fracture length distribution follows an exponential or power law. A comparison between observed and calculated results based on the equations we developed shows that (1) there exists a linear relationship between fracture frequency and fracture density ( D 1 ), and this relationship can be used to estimate fracture density ( D 1 ) if the fracture frequency is determined from a scanline survey or from borehole data; (2) the analytical solutions we derived can accurately determine the non‐dimensional 2‐D fracture density ( D 2 ) in practice and 3‐D fracture density ( D 3 ) in theory if the fracture length distribution function is assumed.

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