Modelling of Stripping Amount by Working Time in Open-Pit Mines

N.A.

Makale detayları

Modelling of Stripping Amount by Working Time in Open-Pit Mines

Yazarlar:

N.A.

Yayıncı:

Cukurova University

Ana Başlıklar:

Mühendislik

Dergi:

Çukurova Üniversitesi Mühendislik Fakültesi Dergisi Vol.38 Issue 1, pp.41-48

Belge Tipi:

Makale

Yayın Tarihi:

3/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001286998

pISSN:

2757-9255

Anahtar kelimeler:

Özet:

 In open pit mining, a large part of the costs is due to stripping operations. Therefore, one of the most important steps while preparing mine plans is to determine the amount of stripping. In addition, the problem of uncertainty in a sustainable mining stripping amount needs to be resolved. This study, it is aimed to model the working time and the amount of stripping using the regression method. Within the scope of the study, the data set was obtained by collecting the monthly working times and the amount of stripping between the 2014-2021 period of a sample open pit mine. Based on this data set, four different regression models were developed as exponential, linear, logarithmic, and polynomial. The success of the developed models was evaluated according to the correlation coefficient. As a result, it was determined that the most successful regression model was the polynomial model R2 0,8497. This model is followed by exponential R2 0,8487, linear R2 0,8485 and logarithmic R2 0,8378 models, respectively. The studys findings show that the proposed models can be used as an alternative to determining the amount of stripping in open-pit mining.

 In open pit mining, a large part of the costs is due to stripping operations. Therefore, one of the most important steps while preparing mine plans is to determine the amount of stripping. In addition, the problem of uncertainty in a sustainable mining stripping amount needs to be resolved. This study, it is aimed to model the working time and the amount of stripping using the regression method. Within the scope of the study, the data set was obtained by collecting the monthly working times and the amount of stripping between the 2014-2021 period of a sample open pit mine. Based on this data set, four different regression models were developed as exponential, linear, logarithmic, and polynomial. The success of the developed models was evaluated according to the correlation coefficient. As a result, it was determined that the most successful regression model was the polynomial model R2 0,8497. This model is followed by exponential R2 0,8487, linear R2 0,8485 and logarithmic R2 0,8378 models, respectively. The studys findings show that the proposed models can be used as an alternative to determining the amount of stripping in open-pit mining.

 In open pit mining, a large part of the costs is due to stripping operations. Therefore, one of the most important steps while preparing mine plans is to determine the amount of stripping. In addition, the problem of uncertainty in a sustainable mining stripping amount needs to be resolved. This study, it is aimed to model the working time and the amount of stripping using the regression method. Within the scope of the study, the data set was obtained by collecting the monthly working times and the amount of stripping between the 2014-2021 period of a sample open pit mine. Based on this data set, four different regression models were developed as exponential, linear, logarithmic, and polynomial. The success of the developed models was evaluated according to the correlation coefficient. As a result, it was determined that the most successful regression model was the polynomial model R2 0,8497. This model is followed by exponential R2 0,8487, linear R2 0,8485 and logarithmic R2 0,8378 models, respectively. The studys findings show that the proposed models can be used as an alternative to determining the amount of stripping in open-pit mining.

 Açık işletme madenciliğinin hazırlık çalışmalarında maliyetlerin büyük bir miktarını dekapaj işlemleri oluşturmaktadır. Bu nedenle, maden planları hazırlanırken en önemli aşamalardan birisi dekapaj miktarının belirlenmesidir. Ayrıca, sürdürülebilir bir madencilik için dekapaj miktarındaki belirsizlik probleminin çözülmesi gerekmektedir. Bu çalışmada, regresyon yöntemi kullanılarak çalışma süresi ile dekapaj miktarının modellenmesi amaçlanmıştır. Çalışma kapsamında örnek bir açık ocak madenine ait 2014-2021 dönemi arasındaki aylık çalışma süresi ve dekapaj miktarı bilgileri toplanarak veri seti elde edilmiştir. Bu veri setine dayanarak üstel, doğrusal, logaritmik ve polinom olmak üzere dört farklı regresyon modeli geliştirilmiştir. Geliştirilen modellerin başarısı korelasyon katsayısına göre değerlendirilmiştir. Sonuç olarak en başarılı regresyon modelinin polinom model R2 0,8497 olduğu belirlenmiştir. Bu modeli sırasıyla üstel R2 0,8487, doğrusal R2 0,8485 ve logaritmik R2 0,8378 modeller takip etmektedir. Çalışmanın bulguları açık ocak madenciliğinde dekapaj miktarının belirlenmesinde önerilen modellerin alternatif olarak kullanılabileceğini göstermektedir.

Makale detayları

Modelling of Stripping Amount by Working Time in Open-Pit Mines

Yazarlar:

N.A.

Yayıncı:

Cukurova University

Ana Başlıklar:

Mühendislik

Dergi:

Çukurova Üniversitesi Mühendislik Fakültesi Dergisi Vol.38 Issue 1, pp.41-48

Belge Tipi:

Makale

Yayın Tarihi:

3/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001286998

pISSN:

2757-9255

Stripping amount

Regression analysis

Working time

Open-pit mine

Dekapaj miktarı

Çalışma süresi

Regresyon analizi

Açık ocak madeni

Sayı

Makale detayları

Yazarlar: N.A.

Yayıncı: Cukurova University

Ana Başlıklar: Mühendislik

Dergi: Çukurova Üniversitesi Mühendislik Fakültesi Dergisi Vol.38 Issue 1, pp.41-48

Belge Tipi: Makale

Yayın Tarihi: 3/2023

Belge Dili: Türkçe

Document ID (Org No.): 2001286998

pISSN: 2757-9255

Sayı

Yazarlar:

N.A.

Yayıncı:

Cukurova University

Ana Başlıklar:

Mühendislik

Dergi:

Çukurova Üniversitesi Mühendislik Fakültesi Dergisi Vol.38 Issue 1, pp.41-48

Belge Tipi:

Makale

Yayın Tarihi:

3/2023

Belge Dili:

Türkçe

Document ID (Org No.):

2001286998

pISSN:

2757-9255