IJE TRANSACTIONS B: Applications Vol. 32, No. 2 (February 2019) 346-353    Article in Press

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H. Nourali and M. Osanloo
( Received: January 01, 2019 – Accepted in Revised Form: January 28, 2019 )

Abstract    One of the most important issues in all stages of mining study is capital cost estimation. Determination of capital expenditure is a challenging issue for mine designers. In recent decade, quite a few number of studies have focused on proposing estimation models to predict mining capital cost. However, these efforts have not achieved to a predictor model with reliable range of error. Both of overestimation and underestimation of capital expenditure are causing huge problems. The former leads to estimating the value of projects less than the real value, and the latter causes to fail or postpone the project. In this paper, in order to achieve a reliable cost model, the technical and economic data of 15 open pit porphyry copper mines have been collected. The proposed cost model is developed based on stepwise multi variate regression . The R square of the presented model was 97.53% and indicated a proper fit on the data set. In addition, the mean absolute error with respect to the average capital cost of data set used in the modelling procedure was obtained . The results showed that this model is capable of estimating open pit porphyry copper mine capital expenditure in an acceptable range of error.


Keywords    CAPEX; Capital cost estimation; Mine investment; Stepwise Multi Varaite Regression (SMVR).



یکی از مهمترین بخشهای مطالعات معدنی، تخمین هزینه سرمایه گذاری اولیه این قبیل پروژهها میباشد. تعیین میزان هزینه سرمایهای همواره یکی از مسائل چالش برانگیز برای مهندسین معدن به شمار میرود. در دهه اخیر مطالعات بسیاری در زمینه ارائه مدلهای تخمینگر هزینه سرمایهای انجام شده است. اما این مطالعات منجر به ارائه مدلی با یک محدوده خطای قابل قبول نشده است. تخیمن هزینه سرمایهای بیش از مقدار واقعی و یا کمتر از آن، منجر به ایجاد مشکلات عدیدهای در یک پروژه معدنی میگردد. تخمین بیش از حد موجب کاهش ارزش پروژه در مطالعات و تخمین کمتر از میزان موجب شکست و یا به تعویق افتادن روند اجرای پروژه خواهد گردید. لذا در تحقیق حاضر، به منظور دستیابی به یک مدل تخمینگر قابل اعتماد، دادههای فنی و اقتصادی 15 معدن روباز مس پورفیری جمع آوری گردید. بر این اساس مدل تخمینگری بر مبنای رگرسیون چند متغیره به روش گام به گام توسعه داده شد. مقدار ضریب همبستگی بدست آمده از فرآیند مدلسازی نشان میدهد مدل مذکور به خوبی بر دادهها برازش یافته است. به علاوه نسبت میانگین خطای مطلق به میانگین هزینه سرمایهای دادههای اولیه که در فرآیند مدلسازی مورد استفاده قرار گرفتهاند معادل بدست آمد. نتایج نشان میدهد، مدل ارائه شده توانایی تخمین هزینه سرمایهگذاری اولیه معادن روباز مس پورفیری در یک بازه خطای قابل قبول را داراست.

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