Applicability of published experimental works as a knowledge source in recommendation of gold ore processing workflows

• Autorzy: Rintala L. , Aromaa J. , Forsen O.

Identyfikatory

DOI

10.5277/ppmp150228

• Języki publikacji: EN

Abstrakty

EN

The experimental work is the most time consuming and expensive part of the process design. A case-based reasoning (CBR) methodology can be used to assist in the process design. Auric Adviser is a CBR system under development for recommendation of gold ore processing workflows. In Auric Adviser the knowledge in gold ore processing is represented in two models. The first model holds the knowledge needed to recommend process chains already used in industry. The second knowledge model is intended to recommend the most efficient unit processes based on research results. The objective of this study was to analyse the information richness of journal articles and other publications concerning single process steps of gold extraction. The aim was to study the applicability of these publications as a source for the second Auric Adviser knowledge model. In this study, 25 publications concerning leaching of gold were analysed and information was extracted in a case base. The case base was taken as either a process or experimental description with clearly defined differences to other descriptions. In total, 218 cases that described results of gold leaching were extracted from the sources. The analysis of descriptions showed that the knowledge necessary for design the second Auric Adviser model can be elicited from journal articles and other publications concerning single process steps. The trends in the case description were that the gold content and process outcome were usually well described. Nevertheless, the information richness varied in descriptions of raw materials, experimental arrangements but the results were often missing details. The incompleteness of information causes challenges in the process comparison although it does not prevent the CBR system to work.

Słowa kluczowe

EN

gold ore; leaching; case-based reasoning; process development

• Wydawca: Oficyna Wydawnicza Politechniki Wrocławskiej
• Czasopismo: Physicochemical Problems of Mineral Processing
• Rocznik: 2015
• Tom: Vol. 51, iss. 2
• Strony: 707--717
• Opis fizyczny: Bibliogr. 35 poz., tab.

Twórcy

autor

Rintala L.

• Department of Materials Science and Engineering, Aalto University, PO Box 16200, 00076 Aalto, Helsinki, Finland

autor

Aromaa J.

• Department of Materials Science and Engineering, Aalto University, PO Box 16200, 00076 Aalto, Helsinki, Finland

autor

Forsen O.

• Department of Materials Science and Engineering, Aalto University, PO Box 16200, 00076 Aalto, Helsinki, Finland

Bibliografia

• AAMODT A., PLAZA E., 1994. Case-based reasoning: Foundational issues, methodological variations and system approaches. AI Communications, 7 (1), 39–59.
• AYLMORE M.G., MUIR D.M., 2001. Thiosulfate leaching of gold – A review, Minerals Eng., 14(2): 135–174.
• BREUER P.L., DAI X., JEFFREY M.I., 2005. Leaching of gold and copper minerals in cyanide deficient copper solutions, Hydrometallurgy, 78(3–4), 156–165.
• BREUER P.L., JEFFREY M.I., 2002. An electrochemical study of gold leaching in thiosulfate solutions containing copper and ammonia, Hydrometallurgy, 65(2–3), 145–157.
• CHANDRA I., JEFFREY M.I., 2004. An electrochemical study of the effect of additives and electrolyte on the dissolution of gold in thiosulfate solution, Hydrometallurgy, 73(3–4), 305–312.
• CHEKUSHIN V.S., OLJENIKOVA N.V., 2005. Pererabotka zolotosoderzhashih rudnyh koncentratov (obzor metodov) – Processing of the auriferous ore concentrates (the review of methods), Izvestiya Chelyabinskogo Nauchnogo Tsentra Proceedings of the Chelyabinsk Scientific Center – Proceedings of the Chelyabinsk Scientific Center, 30(4), 95–102.
• CRUNDWELL F.K., GODORR S.A., 1997. A mathematical model of the leaching of gold in cyanide solutions, Hydrometallurgy, 44(1–2), 147–162.
• CHERNJAK A.S., 1987. Himicheskoje obogashenie rud, 224 p., Nedra: Moscow.
• CHUGAEV L.V., 1987. Metallurgija blagorodnyh metallov, 431 p., Metallurgija: Moscow.
• DAI X., JEFFREY M.I., 2006. The effect of sulfide minerals on the leaching of gold in aerated cyanide solutions, Hydrometallurgy, 82(3–4), 118–125.
• DEMENTJEV V.E., LOCEJSHIKOV V.V., EMELJANOV Ju.E., KOBOLOV A.Ju., 2005. Biogidro-metallurgicheskaja pererabotka neobogashennyh zolotosoderzhashih rud, Zolotodobycha, No. 81, Online: http://zolotodb.ru/articles/placer/factory/495.
• DEMENTJEV V.E., TATARINOV A.P., GUDKOV S.S., GRIGORYEV S.G., RJAZANOVA I.I., 2000. Perspektivy izvlechenija zolota metodom kuchnogo vyshelachivanija v holodnyh klimaticheskih regionah Rossii, Zolotodobycha, No. 23, Online: http://zolotodb.ru/articles/ technical/374.
• EMELJANOV E.J., 2004. Opyt bakterialnogo vyshelachivanija zolotosoderzhashih rud v KNR, Zolotodobycha, No. 63, Online: http://zolotodb.ru/articles/foreign/669.
• FAIRLEY L.M., 1998. A survey of conventional and novel processes for the treatment of refractory gold. Master thesis, The University of British Columbia, Vancouver.
• FENG D., van DEVENTER J.S.J., 2007. The role of oxygen in thiosulphate leaching of gold. Hydrometallurgy, 85(2–4), 193–202.
• GROUDEV S.N., SPASOVA I.I., IVANOV I.M., 1996. Two-stage microbial leaching of a refractory gold-bearing pyrite ore. Minerals Engineering, 9(7), 707–713.
• GURMAN M.A., JATLUKOVA N.G., 2007. Testovye issledovanija kuchnogo vyshelachivanija prob zolotosoderzhashej rudy. Mining informational and analytical bulletin scientific and technical journal, No. 12, 6 p.
• GURMAN M.A., ALEKSANDROVA T.A., 2009. Rezultaty issledovanij po ugolno-sorbcionnomu vyshe-lachivaniju zolota. Mining informational and analytical bulletin scientific and technical journal, No. 12, 320–328.
• HAAVANLAMMI L., HIETALA K., KARONEN J., 2010. Hydrocopper® – for treating variable copper concentrates [online], Available from: <http://www.outotec.com/37061.epibrw> [Accessed: 20th March 2010].
• LENZ M., BARTSCH-SPÖRL B., BURKHARD H.-D., WESS S. (Eds.) 1998. Case-Based Reasoning Technology, From Foundations to Applications. Lecture Notes in Artificial Intelligence, XIV, 405 p. ISBN 3-540-64572-1.
• MARSDEN J, HOUSE C.I., 2006, Chemistry of Gold Extraction (2nd Edition), 682 p, Society for Mining Metallurgy and Exploration: Littleton.
• MERETUKOV M.A., 2008. Zoloto: Himija, mineralogija, metallurgija, 526 p Ruda i metally: Moscow.
• myCBR 3. 2012. Retrieved March 1, 2013, from http://www.mycbr-project.net/.
• PIETARSAARI S., 2010, The application of public geological data in description of raw material for hydrometallurgical processes. M.Sc. Thesis, Aalto University, 80 p.
• RINTALA L., AROMAA J., FORSÉN O., 2011a. The Use of Decision Methods in the Selection of Leaching Alternatives, in: Proceedings of European Metallurgical Conference EMC 201, Vol. 5, 1659–1671 (GDMB: Düsseldorf).
• RINTALA L., LILLKUNG K., AROMAA J., 2011b. The use of decision and optimization methods in selection of hydrometallurgical unit process alternatives. Physiochemical Problems of Mineral Pro-cessing, 46, 229– 242.
• RUBCOV I.J., 2007. Razrabotka principialnoj tehnologicheskoj shemy skorostnogo kuchnogo vyshela-chivanija zolota. Mining informational and analytical bulletin scientific and technical journal, No 1, 301–308.
• SAUER C.S., RINTALA L., ROTH-BERGHOFER T., 2013. Research and Development in Intelligent Systems XXX, BRAMER M., PETRIDIS M., (Eds.) Knowledge Formalisation for Hydrometallurgical Gold Ore Processing. Springer International Publishing. p. 291–304.
• SAUER C.S., RINTALA L., ROTH-BERGHOFER T., 2014. Two-phased Knowledge Formalisation for Hydrometallurgical Gold Ore process recommendation and validation. Künstliche Intelligenz, 28, 283–295.
• STAHL A., ROTH-BERGHOFER T., 2008. Rapid Prototyping of CBR Applications with the Open Source Tool myCBR. Advances in Case-Based Reasoning. Lecture Notes in Computer Science, 5239, 615–629. DOI: 10.1007/978-3-540-85502-6_42
• VOROBJEV A.E., KARGINOV K.G., SHELKIN A.A., TSHEKUSHINA T.B., 2003. Praktika prime-nenija tiosulfatnogo vyshelachivanija blagorodnyh metallov iz prirodnyh materialov. Mining infor-mational and analytical bulletin scientific and technical journal, No 7, 2 p.
• VOROBJEV A.E., TURSUNBAEVA A.K., MALJUKOVA N.N., 2010. Vyshelachivanie zolota iz pervichnyh rud v perkoljatorah. Vestnik KRSU, 10(10), 154-158. Online: http://www.krsu.edu.kg/ vestnik/2010/v10/a38.pdf.
• ZINCHENKO Z.A., SAMIHOV Sh.R., BOBOHONOV B.A., 2010. Issledovanija po kolonnomu vyshe-lachivaniju zolotosoderzhashih rud razlichnyh mestorozhdenij. Doklady akademii nauk respubliki Tadzhikistan, 53(7), 553–556.
• ZUBOREVA N.A., 2006. Ekologo-ekonomicheskoe obosnovanie effektivnosti izvlechenija zolota iz upor-nyh rud metodom bakterialnogo vyshelachivanija. Mining informational and analytical bulletin scien-tific and technical journal, No 6, 164–166.
• ZUBOREVA N.A., 2007. Biovyshelachivanie kak odin iz metodov ekonomicheskogo stimulirovanija izvlechenija zolota iz upornyh rud. Mining informational and analytical bulletin scientific and tech-nical journal, No. 10, 147–151. Online: http://www.giab-online.ru/files/Data/2007/10/9_Zuboreva9.pdf.