RESEARCH ARTICLE INTELLIGENCE

Articles Published 19 December 2024

Ultimate Pit Limit Optimization Of Opencast Mine Using Surpac Software

AUTHORS & AFFILIATIONS

D. Gawariya Research Scholar Department of Mining Engineering, College of Technology and Engineering, MPUAT, Udaipur (313001), Rajasthan, India
Dr. S.C Jain Professor (Retd.), Department of Mining Engineering, College of Technology and Engineering, MPUAT, Udaipur (313001), Rajasthan, India

READER ENGAGEMENT

Article metrics

Source-labelled data
470Article / abstract viewsOJS COUNTER usage records
581PDF downloadsOJS COUNTER usage records
31Views · last 30 daysOJS COUNTER usage records
25PDF downloads · last 30 daysOJS COUNTER usage records
Readership over time

Recorded months within the last 12 months. Each bar shows recorded access events; the current month is partial.

● Article / abstract views● PDF downloads
Nov 2025
18 views
25 PDF downloads
Dec 2025
18 views
19 PDF downloads
Jan 2026
23 views
15 PDF downloads
Feb 2026
12 views
25 PDF downloads
Mar 2026
36 views
28 PDF downloads
Apr 2026
27 views
24 PDF downloads
May 2026
35 views
48 PDF downloads
Jun 2026
10 views
22 PDF downloads
Jul 2026
24 views
54 PDF downloads
Aug 2026
29 views
68 PDF downloads
Sep 2026
48 views
19 PDF downloads
Oct 2026
23 views
20 PDF downloads

Usage totals reflect processed OJS records and may lag recent visits. Citation sources count independently and are not combined.

Keywords:

Ultimate Pit Limit, SURPAC software, opencast mining, resource optimization, mine planning, Lerchs-Grossmann algorithm, limestone mining

Abstract

This study focuses on optimizing the Ultimate Pit Limit (UPL) for opencast limestone mining using SURPAC software. The research aims to demonstrate the advantages of integrating advanced software in the mine planning process, specifically for optimizing pit design and improving resource recovery. By utilizing geological data, including borehole surveys, assay results, and lithological information, a 3D block model was developed, and various optimization algorithms were applied to determine the most economically viable pit boundaries. The study compares traditional manual methods with modern software-based approaches, showcasing the significant reduction in time and error. SURPAC’s integration of Lerchs-Grossmann and other algorithms allowed for more accurate mineable reserve estimation, enhanced safety measures, and improved environmental sustainability by minimizing waste removal and optimizing resource extraction. This research highlights the potential for modern mine planning software to transform the efficiency, safety, and profitability of opencast mining operations.

FULL TEXT

Read the article

DOWNLOAD PAPER

Published

19-12-2024

How to Cite

D. Gawariya, & Dr. S.C Jain. (2024). Ultimate Pit Limit Optimization Of Opencast Mine Using Surpac Software. Journal of Scientific Research and Technology, 2(12), 34–44. https://doi.org/10.61808/jsrt156
SCHOLARLY DISCOVERY

Follow the research record

Check article metadata and journal source records in their original services.

Clarivate Web of ScienceWeb of ScienceESCI till 2024 · historical verification PDF ↗ Google ScholarGoogle ScholarJournal profile ↗ CrossrefCrossrefDOI records ↗ ResearchGateResearchGateJournal page ↗ ISSN International CentreISSN 2583-8660Official serial record ↗ SciSpaceSciSpaceJournal record ↗ OpenAlexOpenAlexScholarly source record ↗ ScilitScilitJournal source record ↗ Semantic ScholarSemantic ScholarTitle search ↗ Academia.eduAcademia.eduJSRT profile ↗ ROADROADISSN directory record ↗ SJIFactorSJIFactorJournal listing ↗ Cresta MetricsCresta MetricsJournal profile ↗ ZenodoZenodoISSN search ↗ OpenAIREOpenAIRE-connected recordZenodo source record ↗ International Impact Factor ServicesIIFSService reference ↗