Strategic mining options optimization: Open pit mining, underground mining or both
Near-surface deposits that extend to considerable depths are often amenable to both open pit mining and/or underground mining. This paper investigates the strategy of mining options for an orebody using a Mixed Integer Linear Programming (MILP) optimization framework. The MILP formulation maximizes...
Gespeichert in:
Veröffentlicht in: | International journal of mining science and technology 2016-11, Vol.26 (6), p.1065-1071 |
---|---|
Hauptverfasser: | , , , |
Format: | Artikel |
Sprache: | eng |
Schlagworte: | |
Online-Zugang: | Volltext |
Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
container_end_page | 1071 |
---|---|
container_issue | 6 |
container_start_page | 1065 |
container_title | International journal of mining science and technology |
container_volume | 26 |
creator | Ben-Awuah, Eugene Richter, Otto Elkington, Tarrant Pourrahimian, Yashar |
description | Near-surface deposits that extend to considerable depths are often amenable to both open pit mining and/or underground mining. This paper investigates the strategy of mining options for an orebody using a Mixed Integer Linear Programming (MILP) optimization framework. The MILP formulation maximizes the Net Present Value (NPV) of the reserve when extracted with (i) open pit mining, (ii) underground mining, and (iii) concurrent open pit and underground mining. Comparatively, implementing open pit mining generates a higher NPV than underground mining. However considering the investment required for these mining options, underground mining generates a better return on investment than open pit mining. Also, in the concurrent open pit and underground mining scenario, the optimizer prefers extract- ing blocks using open pit mining. Although the underground mine could access ore sooner, the mining cost differential for open pit mining is more than compensated for by the discounting benefits associated with earlier underground mining. |
doi_str_mv | 10.1016/j.ijmst.2016.09.015 |
format | Article |
fullrecord | <record><control><sourceid>wanfang_jour_cross</sourceid><recordid>TN_cdi_wanfang_journals_zgkydxxb_e201606015</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><cqvip_id>670952799</cqvip_id><wanfj_id>zgkydxxb_e201606015</wanfj_id><els_id>S2095268616300994</els_id><sourcerecordid>zgkydxxb_e201606015</sourcerecordid><originalsourceid>FETCH-LOGICAL-c366t-aca75934fb0e8b373269b862186988e21ea70d2fd39ec5b4e0d746ed1473ee143</originalsourceid><addsrcrecordid>eNqFkU1OwzAQhbMAiar0BGwitpDgn8SxFyxQxZ9UqQvK2nKSSepAnOKk0PYonIU7cQWcpuqW2TyN9L558rPnXWAUYoTZTRXqqm67kLglRCJEOD7xRgSJOCCMszNv0rYVcsN4xGMy8hYvnVUdlDrza220Kf1m1enGtHut9U712-_Ptz9fgfFXujv4rv21ycGWtnF6ZK2fNt3y3Dst1HsLk4OOvdeH-8X0KZjNH5-nd7Mgo4x1gcpUEgsaFSkCntKEEiZSzgjmTHAOBINKUE6KnArI4jQClCcRgxxHCQXAER17V8PdL2UKZUpZNWtrXKLclW_bfLNJJfRNIOZ6cG46uDPbtK2FQq6srpXdSoxk356s5L492TMSCTlQtwMF7iGfGqxsMw0mg1xbyDqZN_of_vKQumxM-eFaOsayxP0LSYSgfy-fiUo</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype></control><display><type>article</type><title>Strategic mining options optimization: Open pit mining, underground mining or both</title><source>Elsevier ScienceDirect Journals Complete</source><source>Alma/SFX Local Collection</source><creator>Ben-Awuah, Eugene ; Richter, Otto ; Elkington, Tarrant ; Pourrahimian, Yashar</creator><creatorcontrib>Ben-Awuah, Eugene ; Richter, Otto ; Elkington, Tarrant ; Pourrahimian, Yashar</creatorcontrib><description>Near-surface deposits that extend to considerable depths are often amenable to both open pit mining and/or underground mining. This paper investigates the strategy of mining options for an orebody using a Mixed Integer Linear Programming (MILP) optimization framework. The MILP formulation maximizes the Net Present Value (NPV) of the reserve when extracted with (i) open pit mining, (ii) underground mining, and (iii) concurrent open pit and underground mining. Comparatively, implementing open pit mining generates a higher NPV than underground mining. However considering the investment required for these mining options, underground mining generates a better return on investment than open pit mining. Also, in the concurrent open pit and underground mining scenario, the optimizer prefers extract- ing blocks using open pit mining. Although the underground mine could access ore sooner, the mining cost differential for open pit mining is more than compensated for by the discounting benefits associated with earlier underground mining.</description><identifier>ISSN: 2095-2686</identifier><identifier>DOI: 10.1016/j.ijmst.2016.09.015</identifier><language>eng</language><publisher>Elsevier B.V</publisher><subject>Concurrent ; MILP ; Mining options optimization ; Mixed Integer Linear Programming (MILP) ; Open pit ; Open stope ; Underground ; 优化器 ; 地下开采 ; 投资回报 ; 挖掘 ; 混合整数线性规划 ; 露天开采 ; 露天矿开采</subject><ispartof>International journal of mining science and technology, 2016-11, Vol.26 (6), p.1065-1071</ispartof><rights>2016</rights><rights>Copyright © Wanfang Data Co. Ltd. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c366t-aca75934fb0e8b373269b862186988e21ea70d2fd39ec5b4e0d746ed1473ee143</citedby><cites>FETCH-LOGICAL-c366t-aca75934fb0e8b373269b862186988e21ea70d2fd39ec5b4e0d746ed1473ee143</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://image.cqvip.com/vip1000/qk/85399B/85399B.jpg</thumbnail><linktohtml>$$Uhttps://dx.doi.org/10.1016/j.ijmst.2016.09.015$$EHTML$$P50$$Gelsevier$$H</linktohtml><link.rule.ids>314,780,784,3550,27924,27925,45995</link.rule.ids></links><search><creatorcontrib>Ben-Awuah, Eugene</creatorcontrib><creatorcontrib>Richter, Otto</creatorcontrib><creatorcontrib>Elkington, Tarrant</creatorcontrib><creatorcontrib>Pourrahimian, Yashar</creatorcontrib><title>Strategic mining options optimization: Open pit mining, underground mining or both</title><title>International journal of mining science and technology</title><addtitle>Mining Science and Technology</addtitle><description>Near-surface deposits that extend to considerable depths are often amenable to both open pit mining and/or underground mining. This paper investigates the strategy of mining options for an orebody using a Mixed Integer Linear Programming (MILP) optimization framework. The MILP formulation maximizes the Net Present Value (NPV) of the reserve when extracted with (i) open pit mining, (ii) underground mining, and (iii) concurrent open pit and underground mining. Comparatively, implementing open pit mining generates a higher NPV than underground mining. However considering the investment required for these mining options, underground mining generates a better return on investment than open pit mining. Also, in the concurrent open pit and underground mining scenario, the optimizer prefers extract- ing blocks using open pit mining. Although the underground mine could access ore sooner, the mining cost differential for open pit mining is more than compensated for by the discounting benefits associated with earlier underground mining.</description><subject>Concurrent</subject><subject>MILP</subject><subject>Mining options optimization</subject><subject>Mixed Integer Linear Programming (MILP)</subject><subject>Open pit</subject><subject>Open stope</subject><subject>Underground</subject><subject>优化器</subject><subject>地下开采</subject><subject>投资回报</subject><subject>挖掘</subject><subject>混合整数线性规划</subject><subject>露天开采</subject><subject>露天矿开采</subject><issn>2095-2686</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNqFkU1OwzAQhbMAiar0BGwitpDgn8SxFyxQxZ9UqQvK2nKSSepAnOKk0PYonIU7cQWcpuqW2TyN9L558rPnXWAUYoTZTRXqqm67kLglRCJEOD7xRgSJOCCMszNv0rYVcsN4xGMy8hYvnVUdlDrza220Kf1m1enGtHut9U712-_Ptz9fgfFXujv4rv21ycGWtnF6ZK2fNt3y3Dst1HsLk4OOvdeH-8X0KZjNH5-nd7Mgo4x1gcpUEgsaFSkCntKEEiZSzgjmTHAOBINKUE6KnArI4jQClCcRgxxHCQXAER17V8PdL2UKZUpZNWtrXKLclW_bfLNJJfRNIOZ6cG46uDPbtK2FQq6srpXdSoxk356s5L492TMSCTlQtwMF7iGfGqxsMw0mg1xbyDqZN_of_vKQumxM-eFaOsayxP0LSYSgfy-fiUo</recordid><startdate>20161101</startdate><enddate>20161101</enddate><creator>Ben-Awuah, Eugene</creator><creator>Richter, Otto</creator><creator>Elkington, Tarrant</creator><creator>Pourrahimian, Yashar</creator><general>Elsevier B.V</general><general>Bharti School of Engineering, Laurentian University, Sudbury P3E 2C6, Canada%Mining Department, Snowden Mining Industry Consultants, Perth, WA 6004, Australia%School of Mining and Petroleum Engineering, University of Alberta, Edmonton T6G 2R3, Canada</general><scope>2RA</scope><scope>92L</scope><scope>CQIGP</scope><scope>W92</scope><scope>~WA</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope></search><sort><creationdate>20161101</creationdate><title>Strategic mining options optimization: Open pit mining, underground mining or both</title><author>Ben-Awuah, Eugene ; Richter, Otto ; Elkington, Tarrant ; Pourrahimian, Yashar</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c366t-aca75934fb0e8b373269b862186988e21ea70d2fd39ec5b4e0d746ed1473ee143</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Concurrent</topic><topic>MILP</topic><topic>Mining options optimization</topic><topic>Mixed Integer Linear Programming (MILP)</topic><topic>Open pit</topic><topic>Open stope</topic><topic>Underground</topic><topic>优化器</topic><topic>地下开采</topic><topic>投资回报</topic><topic>挖掘</topic><topic>混合整数线性规划</topic><topic>露天开采</topic><topic>露天矿开采</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Ben-Awuah, Eugene</creatorcontrib><creatorcontrib>Richter, Otto</creatorcontrib><creatorcontrib>Elkington, Tarrant</creatorcontrib><creatorcontrib>Pourrahimian, Yashar</creatorcontrib><collection>中文科技期刊数据库</collection><collection>中文科技期刊数据库-CALIS站点</collection><collection>中文科技期刊数据库-7.0平台</collection><collection>中文科技期刊数据库-工程技术</collection><collection>中文科技期刊数据库- 镜像站点</collection><collection>CrossRef</collection><collection>Wanfang Data Journals - Hong Kong</collection><collection>WANFANG Data Centre</collection><collection>Wanfang Data Journals</collection><collection>万方数据期刊 - 香港版</collection><collection>China Online Journals (COJ)</collection><collection>China Online Journals (COJ)</collection><jtitle>International journal of mining science and technology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Ben-Awuah, Eugene</au><au>Richter, Otto</au><au>Elkington, Tarrant</au><au>Pourrahimian, Yashar</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Strategic mining options optimization: Open pit mining, underground mining or both</atitle><jtitle>International journal of mining science and technology</jtitle><addtitle>Mining Science and Technology</addtitle><date>2016-11-01</date><risdate>2016</risdate><volume>26</volume><issue>6</issue><spage>1065</spage><epage>1071</epage><pages>1065-1071</pages><issn>2095-2686</issn><abstract>Near-surface deposits that extend to considerable depths are often amenable to both open pit mining and/or underground mining. This paper investigates the strategy of mining options for an orebody using a Mixed Integer Linear Programming (MILP) optimization framework. The MILP formulation maximizes the Net Present Value (NPV) of the reserve when extracted with (i) open pit mining, (ii) underground mining, and (iii) concurrent open pit and underground mining. Comparatively, implementing open pit mining generates a higher NPV than underground mining. However considering the investment required for these mining options, underground mining generates a better return on investment than open pit mining. Also, in the concurrent open pit and underground mining scenario, the optimizer prefers extract- ing blocks using open pit mining. Although the underground mine could access ore sooner, the mining cost differential for open pit mining is more than compensated for by the discounting benefits associated with earlier underground mining.</abstract><pub>Elsevier B.V</pub><doi>10.1016/j.ijmst.2016.09.015</doi><tpages>7</tpages></addata></record> |
fulltext | fulltext |
identifier | ISSN: 2095-2686 |
ispartof | International journal of mining science and technology, 2016-11, Vol.26 (6), p.1065-1071 |
issn | 2095-2686 |
language | eng |
recordid | cdi_wanfang_journals_zgkydxxb_e201606015 |
source | Elsevier ScienceDirect Journals Complete; Alma/SFX Local Collection |
subjects | Concurrent MILP Mining options optimization Mixed Integer Linear Programming (MILP) Open pit Open stope Underground 优化器 地下开采 投资回报 挖掘 混合整数线性规划 露天开采 露天矿开采 |
title | Strategic mining options optimization: Open pit mining, underground mining or both |
url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2024-12-26T01%3A57%3A53IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-wanfang_jour_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Strategic%20mining%20options%20optimization%EF%BC%9A%20Open%20pit%20mining,%20underground%20mining%20or%20both&rft.jtitle=International%20journal%20of%20mining%20science%20and%20technology&rft.au=Ben-Awuah,%20Eugene&rft.date=2016-11-01&rft.volume=26&rft.issue=6&rft.spage=1065&rft.epage=1071&rft.pages=1065-1071&rft.issn=2095-2686&rft_id=info:doi/10.1016/j.ijmst.2016.09.015&rft_dat=%3Cwanfang_jour_cross%3Ezgkydxxb_e201606015%3C/wanfang_jour_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_id=info:pmid/&rft_cqvip_id=670952799&rft_wanfj_id=zgkydxxb_e201606015&rft_els_id=S2095268616300994&rfr_iscdi=true |