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Information Journal Paper

Title

Grade Estimation in Deposits with Locally Varying Anisotropy using Ant Colony Algorithm, Case Study: Miduk Porphyry Copper Deposit

Pages

  41-52

Abstract

 Anisotropy of a deposit is due to its directional variations of grade or structure. Locally varying anisotropy (LVA) is the specific case of anisotropy in some structurally-controlled deposits. Recently, there has been presented a graph-based solution to implement an LVA field of the study area into estimations. The field then is used in an MDS-based distance matrix calculation which is the core of LVA-variography and-Kriging (OKLVA). In this research, using Ant Colony application in geochemical anomaly detection and LVA field of the study area, an algorithm (ACLVA) has been developed to smartly direct the ants into the more continuous paths and ants, meanwhile act as moving average agents over their routes. Ordinary Kriging (OK), OKLVA and ACLVA were applied on borehole samples of Miduk copper deposit as the case study and estimations were validated with blasthole samples. The estimations were improved with ACLVA.

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    APA: Copy

    Moeini, Hamid, MOHAMMAD TORAB, FARHAD, & Morshedy, Amin. (2020). Grade Estimation in Deposits with Locally Varying Anisotropy using Ant Colony Algorithm, Case Study: Miduk Porphyry Copper Deposit. JOURNAL OF ANALYTICAL AND NUMERICAL METHODS IN MINING ENGINEERING, 10(24 ), 41-52. SID. https://sid.ir/paper/380735/en

    Vancouver: Copy

    Moeini Hamid, MOHAMMAD TORAB FARHAD, Morshedy Amin. Grade Estimation in Deposits with Locally Varying Anisotropy using Ant Colony Algorithm, Case Study: Miduk Porphyry Copper Deposit. JOURNAL OF ANALYTICAL AND NUMERICAL METHODS IN MINING ENGINEERING[Internet]. 2020;10(24 ):41-52. Available from: https://sid.ir/paper/380735/en

    IEEE: Copy

    Hamid Moeini, FARHAD MOHAMMAD TORAB, and Amin Morshedy, “Grade Estimation in Deposits with Locally Varying Anisotropy using Ant Colony Algorithm, Case Study: Miduk Porphyry Copper Deposit,” JOURNAL OF ANALYTICAL AND NUMERICAL METHODS IN MINING ENGINEERING, vol. 10, no. 24 , pp. 41–52, 2020, [Online]. Available: https://sid.ir/paper/380735/en

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