Computer Aided Detection of Fault Zones by Using Drill Hole Data

Canadian Institute of Mining, Metallurgy and Petroleum
M. S. Ünal
Organization:
Canadian Institute of Mining, Metallurgy and Petroleum
Pages:
9
File Size:
542 KB
Publication Date:
Aug 1, 2013

Abstract

Creation of 3D model of coal seams is a tedious and time consuming operation. Computer aided 3D solid modelling of coal seams can be performed in a fast and detailed manner. However, in case of having tectonically disturbed coal seams where faults may be observed, expert opinion is necessary to decide the geometry of the coal seam. The aim of this study is detection of fault zones with computers by using drill hole data. Firstly, a digital database is generated by using the drill hole data. Surface models of the layers are produced by applying triangulation method on coal seam roof elevations. The generated surface is divided into small squares and consequently dip and dip direction values are calculated for each square. Variograms for dip and dip direction are determined and maps showing the variation of dip and dip direction are generated by using geostatistical methods such as kriging and co-kriging. Examination of disconformities observed on estimation maps created by kriging and co-kriging clearly reveals the extension of faults. The method used in this study is applied to detect fault lines of a known mine field. 3D solid modelling of the coal seam has also been performed by using conventional cross-section method. The results of both methods were in good agreement. Identification of major faults by using the method introduced in this study could certainly simplify 3D solid modelling of coal seams.
Citation

APA: M. S. Ünal  (2013)  Computer Aided Detection of Fault Zones by Using Drill Hole Data

MLA: M. S. Ünal Computer Aided Detection of Fault Zones by Using Drill Hole Data. Canadian Institute of Mining, Metallurgy and Petroleum, 2013.

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