Heuristic approach to Yurevskoe peat deposit appraisal using vertical profiling data

One of the critical problems in peat milling project is mathematical modeling of a peat deposit. The mathematical model should adequately describe quality, reserves and categories of peat, as well as possible range of peat products. On this basis, it is possible to determine the best and most effective use mode of peat resources at various stages of peat milling. Moreover, the pit milling program is calculated, the rational method, technology and equipment are selected, the range of peat products is substantiated, etc. On the ground of the authors’ case-study of geological and production data of peat factories in the Tver Region, the discrete mathematical model is developed for the 3D visualization of a peat deposit. The model allows calculation of peat resources in the whole deposit and in individual layers of peat per preset categories of certain quality toward determination of a range of peat products. The discrete modeling framework is the vertical profile network. The model features applicability in decision-making on peat mining investment and on evaluation of rental income from peat deposit resources for the further division of the profit into share of an owner (government) and share of an investor (business). For this reason, it is highly important to describe a peat deposit mathematically. The methodology of mathematical modeling for the appraisal of peat resources and reserves in a deposit includes mathematical methods, system analysis and geological statistics.

Keywords: peat production, modeling, profile network automation, calculation of reserves, peat cadastre.
For citation:

Yakonovskaya T. B., Zhigulskaya A. I. Heuristic approach to Yurevskoe peat deposit appraisal using vertical profiling data. MIAB. Mining Inf. Anal. Bull. 2021;(5):157-168. [In Russ]. DOI: 10.25018/0236_1493_2021_5_0_157.

Issue number: 5
Year: 2021
Page number: 157-168
ISBN: 0236-1493
UDK: 528.91:622
DOI: 10.25018/0236_1493_2021_5_0_157
Article receipt date: 21.05.2020
Date of review receipt: 08.06.2020
Date of the editorial board′s decision on the article′s publishing: 10.04.2021
About authors:

T.B. Yakonovskaya1, Cand. Sci. (Econ.), Associate Professor, e-mail: tby81@yandex.ru,
A.I. Zhigulskaya1, Cand. Sci. (Eng.), Assistant Professor, e-mail: 9051963@mail.com,
1 Tver State Technical University, 170035, Tver, Russia.


For contacts:

A.I. Zhigulskaya, e-mail: 9051963@mail.com.


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