Estimation of Artificial Intelligence Andesite Resources Mining Area with Schlumberger Model and Vertical Sound Method

Paryati, Paryati (2022) Estimation of Artificial Intelligence Andesite Resources Mining Area with Schlumberger Model and Vertical Sound Method. In: International Conference on Recent Advances in the Field of Management, Law, Education and Technology: An Interdisciplinary Approach, 2 June 2022, West Bengal, India.

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Abstract

In resource estimation and estimation, many found that can be used to estimate the mining
area which is an element of mineral reserves in nature. In order to determine whether these
commodities and estimates are to be mined, a study of andesite estimation and a study of technical
factors that influence the development of mining processes and estimates in Pasuruan district is
required. So, with an exploratory study, a description of the condition of andesite commodities will be
obtained in the location of this research area.
One of the approaches used to estimate andesite is using the Schumbelger method and using
a vertical sounding model, so that it can simplify and speed up the work process, especially when
carrying out andesite activities in a very large mining area. The research conducted in this mining area
belongs to the Agung Satrya Abadi Mining Company using the Schlumberger configuration method
and the vertical sounding model.
Results Based on research, estimates of andesite resource estimates are good. This mining
method is used in the production operation process of andesite resource estimation. The selection
model is based on the type of commodity and the contours of the mining area in the form of sand and
stone. This method has the ability to detect the presence of non-homogeneous rock layers, namely by
comparing the apparent resistivity values with changes in the MN/2 electrode distance and being able
to detect the presence of non-homogeneity of rock layers. So this method is very suitable for
estimating andesite resources in mining areas.

Item Type:	Conference or Workshop Item (Paper)
Additional Information:	Publish
Uncontrolled Keywords:	Artificial Intelligence, Estimation, Andesite, Schlumberger, Vertical Sounding.
Subjects:	T Technology > T Technology (General) T Technology > TP Chemical technology
Divisions:	Faculty of Engineering, Science and Mathematics > School of Engineering Sciences
Depositing User:	ST.,M.Kom PARYATI PARYATI
Date Deposited:	07 Apr 2023 09:18
Last Modified:	16 Jun 2023 05:13
URI:	http://eprints.upnyk.ac.id/id/eprint/33978

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