Dergiler / Turkish Journal of Earth Sciences / 2020 / Cilt: 29 - Sayı: 3

Resource estimation for Alpagut-Dodurga coal field and determination of spatial distribution of coal quality parameters

Sayfa
521–537
Yayın Tarihi
2020-03-16
DOI
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⚡ TL;DR(1 Cümlede Hızlı Çıkarım)

These models have great importance in terms of providing quick and more reliable data to mine planners and managers during decision-making processes.

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Amaç & Hipotez:In this study, coal seams of the Alpagut-Dodurga coal field, located in one of Anatolia's most important Tertiary-aged basins of the Çankırı-Çorum Basin, were modeled in 3 dimensions by using Netpro/Mine software and geostatistical methods for the estimation of resource amount.
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Temel Bulgular & Veri:Mining activities with inaccurate methods and planning lead to unacceptable reserve losses.
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Sonuç & Katkı:These models have great importance in terms of providing quick and more reliable data to mine planners and managers during decision-making processes.
🔬Tür:Modelleme & Sayısal Simülasyon
📍Kapsam:Genişletilmiş Akademik Örneklem
⚙️Değişkenler:Coal resource estimation · geostatistics · 3D modeling

Abstract

In this study, coal seams of the Alpagut-Dodurga coal field, located in one of Anatolia's most important Tertiary-aged basins of the Çankırı-Çorum Basin, were modeled in 3 dimensions by using Netpro/Mine software and geostatistical methods for the estimation of resource amount. Additionally, the spatial distributions of coal quality parameters (lower calorific value, ash content, and moisture content) were determined using the same software and mapped thematically. Mining activities with inaccurate methods and planning lead to unacceptable reserve losses. The selection and planning of effective and economic production methods could be possible with three-dimensional modeling, accurate determination of spatial distributions of quality parameters, and resource estimation. As a result of this study, the present resources estimated from the geologic solid model using Netpro/Mine software was found to be 19.5 × 106 m3. Modeling and 3-dimensional visualizations of resources in a scientific and rational manner with software provides mine planners with realistic production design and planning. These models have great importance in terms of providing quick and more reliable data to mine planners and managers during decision-making processes.

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Bu Makaleye Atıf Yap

GÜL, Y., KÜÇÜKKARASU, O. (2020). Resource estimation for Alpagut-Dodurga coal field and determination of spatial distribution of coal quality parameters. Turkish Journal of Earth Sciences, Cilt: 29 - Sayı: 3, 521–537. https://ajindex.com/articles/189323

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Kaynakça (3)

  1. Aktan M, Şimşek O, Tarakçıoğlu A (2018). 2017 Kömür (Linyit) Sektör Raporu. Ankara, Turkey: General Directorate of Turkish Coal Enterprises, T.C. Enerji ve Tabii Kaynaklar Bakanlığı (in Turkish). Aktan M, Tercan AE (2016). Resource estimation of the Çivili (Bursa-Orhaneli) coal field. In: Türkiye 20. Kömür Kongresi Bildiriler Kitabı, Zonguldak, Turkey, pp. 179-190 (in Turkish). Arıöz D (2011). Afşin-Elbistan linyit sahası Çöllolar sektörünün Netpro/mine yazılımı ile değerlendirilmesi. MSc, Çukurova University, Adana, Turkey (in Turkish). Arıöz D, Özdemir AC, Dağ A (2012). Investigation of reserve distribution of the Çöllolar Sector in Afşin-Elbistan lignite field by the Netpro/Mine. In: Türkiye 18. Kömür Kongresi Bildiriler Kitabı, Zonguldak, Turkey, pp. 253-265 (in Turkish). Bascetin A, Tuylu S, Nieto A (2011). Influence of the ore block model estimation on the determination of the mining cutoff grade policy for sustainable mine production. Environmental Earth Sciences 64 (5): 1409-1418. doi: 10.1007/s12665-011-0965-4
  2. Bostan P (2017). Basic kriging methods in geostatistics. Yüzüncü Yıl University Journal of Agricultural Sciences 27 (1): 10-20. doi: 10.29133/yyutbd.305093 Chaoudai NE, Fytas K (1991). A sensitivity analysis of search distance and number of samples in indicator kriging. CIM Bulletin 84: 37-43.
  3. Gharehoghlani A (2014). Afşin-Elbistan linyitleri Kışlaköy açık işletmesinin bilgisayar yardımıyla kazı ve üretim planlaması. MSc, Çukurova University, Adana, Turkey (in Turkish). Gharehoghlani A, Özdemir AC, Dağ A (2016). Computer aided evaluation of Afsin-Elbistan lignite Kislakoy open cast mine. In: 1st International Mediterranean Science and Engineering Congress, Adana, Turkey, pp. 2439-2447 (in Turkish). Heuvelink GBM (2014). Geostatistics Lecture Notes. Wageningen, the Netherlands: Wageningen University. Jiang YD (1998). An interactive 3-D mine modelling, visualization and information system. PhD, Queen’s University, Kingston, Canada. Kara H, Erten H, Karaosmanoğlu A, Gürsoy B, Güçlüer N et al. (1990). Türkiye Kömür İşletmeleri Kurumu ÇorumOsmancık-Dodurga-Alpagut Linyit Sahasının Jeoloji Raporu. Ankara, Turkey: Maden Tetkik ve Arama Müdürlüğü, Enerji Hammadde Etüd ve Arama Dairesi Başkanlığı, Rapor No: 08986 (in Turkish). Kaymakci N (2000). Tectono-stratigraphical evolution of Çankırı basin (Central Anatolia, Turkey). PhD, Utrecht University, Utrecht, the Netherlands. Kaymakci N, White SH, Vandijk PM (2003). Kinematic and structural development