Delineation of Gold Exploration Targets based on Prospectivity Models through an Optimization Algorithm

  • سال انتشار: 1403
  • محل انتشار: مجله معدن و محیط زیست، دوره: 15، شماره: 2
  • کد COI اختصاصی: JR_JMAE-15-2_012
  • زبان مقاله: انگلیسی
  • تعداد مشاهده: 257
دانلود فایل این مقاله

نویسندگان

Kamran Mostafaei

Department of Mining, Faculty of Engineering, University of Kurdistan, Sanandaj, Iran, Corresponding author

Mohammad Kianpour

Faculty of Mining Engineering, Amirkabir University of Technology, Tehran, Iran

Mahyar Yousefi

Faculty of Engineering, Malayer University, Malayer, Iran

چکیده

Mineral prospectivity mapping (MPM) is a multi-staged process aiming at delimiting exploration targets. Experts’ knowledge is an indispensable component of MPM, and might be required (i) while translating signature features of ore-forming processes into a suite of maps, namely evidence layers, (ii) while assigning weights to evidence layers, and (iii) while interpreting maps of mineral prospectivity. The latter is important as MPM integrates weighted evidence layers into a continuous map of mineral prospectivity. Although high values in prospectivity maps pertain to prospective zones, maps of mineral prospectivity are devoid of interpretation. One, therefore, should adopt a classification scheme to categorize or prioritize exploration targets from a map of mineral prospectivity. In addition to previous frameworks applied for interpreting maps of mineral prospectivity, this paper introduces an optimization-based framework, the Gray Wolf Optimizer (GWO) algorithm, for addressing this problem. In addition to GWO, we also used percentile maps of ۸۵, ۹۰, and ۹۵% for interpreting the results of our prospectivity model. These methods were applied to a fuzzy-based map of mineral prospectivity derived for the Alut area, NW Iran. Overall, the map derived by the GWO has involved more Au occurrences, ۶۶% of explored Au occurrences by GWO versus ۳۳% by percentile maps; also introduces more targets as high-potential zones of Au mineralization that may be neglected by traditional methods like percentile maps.

کلیدواژه ها

Mineral Prospectivity Mapping, Gray Wolf algorithm, Gold exploration targets

اطلاعات بیشتر در مورد COI

COI مخفف عبارت CIVILICA Object Identifier به معنی شناسه سیویلیکا برای اسناد است. COI کدی است که مطابق محل انتشار، به مقالات کنفرانسها و ژورنالهای داخل کشور به هنگام نمایه سازی بر روی پایگاه استنادی سیویلیکا اختصاص می یابد.

کد COI به مفهوم کد ملی اسناد نمایه شده در سیویلیکا است و کدی یکتا و ثابت است و به همین دلیل همواره قابلیت استناد و پیگیری دارد.