IMPLICIT MODELLING OF GEOLOGICAL DOMAINS BY SUPPORT VECTOR MACHINE: TUNING THE PARAMETERS BASED ON CONSISTENCY OF THE INDICATOR VARIOGRAM
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Date
2021-09
Authors
Ongarbayev, Ilyas
Madani, Nasser
Journal Title
Journal ISSN
Volume Title
Publisher
APCOM 2021
Abstract
3D modelling of geological domains is an essential part of orebody modelling and
resource classification. Conventionally, one applies a wireframing technique, which, in
practice, is quite laborious. An automatic approach for building an implicit geological
model is the application of the Support Vector Machine (SVM) algorithm. However, in
this machine learning problem, the accuracy of models significantly depends on the
selected parameters. Here, the authors introduce another criterion for selecting optimum
parameters, in which the indicator variogram is considered as an aid. The results can be
used as an instruction for implicit geomodelling, based on the SVM algorithm where one
is dealing with two categories.
Keywords: SVM, Support Vector Machine, indicator variogram, geological modelling,
implicit geomodelling.
Description
Keywords
Geostatistcs, Mineral resource, Machine learning
Citation
Organbayev, I., Madani, N. (2021). Implicit modelling of geological domains by support vector machine: Tuning the parameters based on consistency of the indicator variogram. In the proceeding of the APCOM 2021. Musingwini, C. Woodhall, M (eds.), Johannesburg, South Africa, p. 425-436.