A Tool for Analyzing Geological Data Using the Grade Copilot Neural Network Within the Micromine Software
Software tools for solving geological problems, estimating mineral reserves and taking them into account in the design and planning of mining operations are an important and responsible part of mining and geological information systems. The structural features of the geological environment determine all key technological solutions for the development of deposits, therefore, the creation of models adequate to real objects is one of the main goals of the geological service. The paper presents data on the analysis of the effectiveness of using the Grade Copilot within Micromine software for geological data processing. The primary features and benefits of this instrument in enhancing the precision and expediting geological data analysis are discussed.
Authors
- А. Аmangeldykyzy (ORCID: https://orcid.org/0000-0002-6665-8804)
- А.N. Коpobayeva (ORCID: https://orcid.org/0000-0002-0601-9365)
- N.S. Askarova (ORCID: https://orcid.org/0000-0002-2103-6198)
- Kabyken Aidyn
- Blyalova Gulim
- Ulgibayeva Begim
Institutions
- Abylkas Saginov Karaganda Technical University (KZ)
Publication Details
- Published
- 2024-10-23
- DOI
- https://doi.org/10.1109/lindi63813.2024.10820413
- Primary Topic
- Geological Modeling and Analysis
- Type
- article
- Field-Weighted Citation Impact
- 0.00