Title of article :
Fracture network evaluation program (FraNEP): A software for analyzing 2D fracture trace-line maps
Author/Authors :
Zeeb، نويسنده , , Conny and Gomez-Rivas، نويسنده , , Enrique and Bons، نويسنده , , Paul D. and Virgo، نويسنده , , Simon and Blum، نويسنده , , Philipp، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2013
Pages :
12
From page :
11
To page :
22
Abstract :
Fractures, such as joints, faults and veins, strongly influence the transport of fluids through rocks by either enhancing or inhibiting flow. Techniques used for the automatic detection of lineaments from satellite images and aerial photographs, LIDAR technologies and borehole televiewers significantly enhanced data acquisition. The analysis of such data is often performed manually or with different analysis software. Here we present a novel program for the analysis of 2D fracture networks called FraNEP (Fracture Network Evaluation Program). The program was developed using Visual Basic for Applications in Microsoft Excel™ and combines features from different existing software and characterization techniques. The main novelty of FraNEP is the possibility to analyse trace-line maps of fracture networks applying the (1) scanline sampling, (2) window sampling or (3) circular scanline and window method, without the need of switching programs. Additionally, binning problems are avoided by using cumulative distributions, rather than probability density functions. FraNEP is a time-efficient tool for the characterisation of fracture network parameters, such as density, intensity and mean length. Furthermore, fracture strikes can be visualized using rose diagrams and a fitting routine evaluates the distribution of fracture lengths. As an example of its application, we use FraNEP to analyse a case study of lineament data from a satellite image of the Oman Mountains.
Keywords :
Sampling methods , Fracture density , Fracture sampling , Fracture network analysis
Journal title :
Computers & Geosciences
Serial Year :
2013
Journal title :
Computers & Geosciences
Record number :
2289631
Link To Document :
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