Abstract

The normal estimation of cross-contour polylines largely determines the implicit orebody modeling result. However, traditional methods cannot estimate normals effectively due to the complex topological adjacency relationship of the cross-contour polylines manually interpreted in the process of exploration and production. In this work, we present an orebody implicit modeling method based on the normal estimation of cross-contour polylines. The improved method consists of three stages: (1) estimating the normals of cross-contour polylines by using the least square plane fitting method based on principal component analysis; (2) reorienting the normal directions by using the method based on the normal propagation; (3) using an implicit function to construct an orebody model. The innovation of this method is that it can automatically estimate the normals of the cross-contour polylines and reorient normal directions without manual intervention. Experimental results show that the proposed method has the advantages of a small amount of calculation, high efficiency and strong reliability. Moreover, this normal estimation method is useful to improve the automation of implicit orebody modeling.

Highlights

  • The geological interpretation of polylines produced by geological logging in the process of exploration and production is more complex than the interpretation of polylines produced by drilling in geological explorations [1]

  • The method we proposed can slightly process the geological interpretation polylines to carry out automatic implicit modeling, which greatly improves the modeling efficiency and quality

  • The basic idea of normal estimation of cross-contour polylines in orebody modeling is to construct a virtual network using the orebody cross contour polylines obtained by geological interpretation, and the normals of the cross-contour polylines can be estimated and reoriented

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Summary

Introduction

The geological interpretation of polylines produced by geological logging in the process of exploration and production is more complex than the interpretation of polylines produced by drilling in geological explorations [1]. In this case, the efficiency will be very low if the model is constructed by the contour triangulation method [2] that uses triangulation for surface reconstruction. Exploration and production are carried out during the operation of the mine, which leads to the result that the traditional modeling methods cannot keep up with the mining plan. Efficient real-time modeling is of great significance for mine production and promoting the development of mine digital construction. The method we proposed can slightly process the geological interpretation polylines to carry out automatic implicit modeling, which greatly improves the modeling efficiency and quality

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