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Information Journal Paper

Title

Analysis of data in Kerver area for detection of blind mineralization using singularity method

Pages

  21-31

Abstract

 Evaluation of zone dispersed mineralization from Blind mineralization in active and inactive mines are the main challenges in mining geochemistry. In this research a new model has been presented for detection of anomaly by integration of singularity and zonality methods. This method show the depletion and enrichment of vertical zonality index in study area. Singularity of vertical zonality index was mapped in Kerver2. Results show west of this area is Blind mineralization.

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    APA: Copy

    SAFARI, SAMANEH, & ZIAII, MANSOUR. (2020). Analysis of data in Kerver area for detection of blind mineralization using singularity method. JOURNAL OF ANALYTICAL AND NUMERICAL METHODS IN MINING ENGINEERING, 9(21 ), 21-31. SID. https://sid.ir/paper/266072/en

    Vancouver: Copy

    SAFARI SAMANEH, ZIAII MANSOUR. Analysis of data in Kerver area for detection of blind mineralization using singularity method. JOURNAL OF ANALYTICAL AND NUMERICAL METHODS IN MINING ENGINEERING[Internet]. 2020;9(21 ):21-31. Available from: https://sid.ir/paper/266072/en

    IEEE: Copy

    SAMANEH SAFARI, and MANSOUR ZIAII, “Analysis of data in Kerver area for detection of blind mineralization using singularity method,” JOURNAL OF ANALYTICAL AND NUMERICAL METHODS IN MINING ENGINEERING, vol. 9, no. 21 , pp. 21–31, 2020, [Online]. Available: https://sid.ir/paper/266072/en

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