Font Size: a A A

Multidimensional Core Drilling Data Analysis And Lithologic Histogram Generation System

Posted on:2016-02-06Degree:MasterType:Thesis
Country:ChinaCandidate:J J WangFull Text:PDF
GTID:2270330461982895Subject:Computer application technology
Abstract/Summary:PDF Full Text Request
Drill core multidimensional data visualization is an effective means of mineral exploration engineering and geological informatization, and it has wide application prospect. As the first-hand data,the drill core related spectral data is the data source of all geological visualization. Therefore, the logging, management and analysis of drill core related spectral data is very necessary. The lithologic analysis of drilling core data is the first step in stereo mineral filling, the mineral type data after lithology analysis can be used as the data source of ore body visualization. Lithologic histogram is a kind of CAD geological map of drilling core data, with a form of a two-dimensional chart,it visualizes the multi-attribute and multi-dimensional drill core data,so it is the basic datum in the field of geological exploration and research.This paper studies the drill core lithology analysis method of hyperspectral data, data logging management and cleaning, and drill core data visualization and so on. In this paper, the main work and innovations are as follows:1, Gives the conceptual structure, logical structure and data diagram of automatic logging of drill core multi-dimensional attribute data;Through the ways of extracting, transforming and cleaning, the multi-attribute and multi-dimensional drill core data is effectively managed.2, Using the method of spectral matching, we solve the problem of lithologic analysis of drill core data.This paper studies the spectrum Angle matching algorithm, the correlation matching algorithm, the information divergence matching and so on,these are classic spectral matching algorithms. And we also proposed a spectral matching algorithm based on Jaccard coefficient.This method can makes full use of the spectral curve in the direction of wavelength.Firstly, we diff the curve,then we encode the derivation curve with binary encoding,finally we can calculate the Jaccard correlation coefficient to achieve the goal of spectral curve matching.Through the comparison experiments with classic algorithms, this algorithm has higher precision of spectral matching.By matching the spectral data of drilling core data with data in the spectral database, achieving the goal of the lithology analysis.3, Studies and implements the key technologies of drawing lithology histogram, buffer line drawing and word wrap algorithm. Aiming at the deficiency of the histogram in the amplification process pattern aliasing and complex geological lithology mixing, this paper presents vector pattern of lithology in filling algorithm and the composite pattern filling algorithm. Experimental results show that the proposed two kinds of algorithm can draw lithology and complex lithologic pattern quickly, and obtains a very good application in lithology histogram.4, On the basis of lithologic layer data, we present in this paper the lithology of orebody three-dimensional entity structure method based on the different lithologic prospecting line drilling depth discrete data section line fitting, combined with light rendering, realizes the orebody reconstruction and visualization, applications prove the validity of the method.5, Gives the requirement analysis,function module design of the lithology histogram generation system.Under the OpenGL and Visual C++ environment, lithology histogram generation system is developed, and exploration drilling data of actual application shows that the effectiveness and practicability of the software.
Keywords/Search Tags:Drilling core data, Spectral matching, Jaccard, Orebody, Vector pattern, Lithologic histogram
PDF Full Text Request
Related items