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Research on Suitable Mining Technology for Placer Titanium Mines in Vietnam

100%

Le Q. T. , Nguyen H. , Nguyen N. , Vu D. H. , Le H. T.-T. , Nguyen A. T.-T. , Bui X. N.

tom no. 2, vol. 1

75--86

Vietnam has a potential reserve of placer titanium of around 650 Mt. The reserve lays in sandy beaches of the country from Thanh Hoa to Binh Thuan province. Placer titanium mines in Vietnam are different in geological condition, the scale of production, mining method, and environmental protection solutions, etc. Some of them are operating with inappropriate mining technology; therefore, have caused environmental issues and ineffective operation. Consequently, it is essential to have criteria for selecting appropriate mining technology to approach the sustainable development for the mines. Based on categories of geology, the scale of production, mining characteristics, requirements of safety, land reclamation and environmental protection, and mining effect, authors defined the criteria and method for selecting adequate mining technology for the placer titanium mines in Vietnam which aim for better safe, effective and sustainable. The categories to select the appropriate technology for coastal titanium placers in Vietnam including 1- feasible mining scheme, 2- mining procedure, 3- requirement volume of water, 4- slope stability, 5- environmental rehabilitation and reclamation, and 6- economic effect. The result of the application for Nam Suoi Nhum placer titanium mine in Bình Thuan province shows that the most appropriate scheme of this mine is the mining technology of using hydraulic jets, pumping and hauling by pumping mud, processing by spiral screws, and discharging by mud pumping.

Wietnam ma potencjalne rezerwy okruchowego tytanu w wysokości około 650 Mt. Rezerwat leży na piaszczystych plażach kraju od Thanh Hoa do prowincji Binh Thuan. Kopalnie okruchowego tytanu w Wietnamie różnią się stanem geologicznym, skalą produkcji, sposobem wydobycia, rozwiązaniami w zakresie ochrony środowiska itp. Niektóre z nich działają na niewłaściwej technologii wydobywczej, w związku z czym spowodowały problemy środowiskowe i nieefektywną eksploatację. W związku z tym niezbędne jest posiadanie kryteriów doboru odpowiedniej technologii wydobywczej do podejścia do zrównoważonego rozwoju. W oparciu o kategorie geologiczne, skalę produkcji, charakterystykę górniczą, wymagania bezpieczeństwa, rekultywacji gruntów i ochrony środowiska oraz efektu górniczego, autorzy określili kryteria i sposób doboru odpowiedniej technologii wydobycia dla stacjonujących kopalni tytanu w Wietnamie, które mają na celu zwiększenie bezpieczeństwa , efektywne i trwałe. Te kategorie obejmują 1- wykonalny schemat wydobycia, 2- procedurę wydobycia, 3- wymaganą ilość wody, 4- stateczność zboczy, 5-rekultywację środowiska oraz 6-efekt ekonomiczny. Wynik zastosowania dla kopalni okruchowego tytanu Nam Suoi Nhum w prowincji Bình Thuan pokazuje, że najbardziej odpowiednim schematem tej kopalni jest technologia wydobywcza wykorzystująca strumienie hydrauliczne, pompowanie i ciągnięcie przez pompowanie szlamu, przetwarzanie za pomocą śrub spiralnych i odprowadzanie przez pompowanie błota.

Developing an Advanced Soft Computational Model for Estimating Blast-Induced Ground Vibration in Nui Beo Open-pit Coal Mine (Vietnam) Using Artificial Neural Network

84%

Nguyen H. , Bui X. N. , Tran Q. H. , Nguyen Q. L. , Vu D. H. , Pham V. H. , Le Q. T. , Nguyen P. V.

Inżynieria Mineralna

2019

tom R. 21, nr 2/2

58--73

The principal object of this study is blast-induced ground vibration (PPV), which is one of the dangerous side effects of blasting operations in an open-pit mine. In this study, nine artificial neural networks (ANN) models were developed to predict blast-induced PPV in Nui Beo open-pit coal mine, Vietnam. Multiple linear regression and the United States Bureau of Mines (USBM) empirical techniques are also conducted to compare with nine developed ANN models. 136 blasting operations were recorded in many years used for this study with 85% of the whole datasets (116 blasting events) was used for training and the rest 15% of the datasets (20 blasting events) for testing. Root Mean Square Error (RMSE), Determination Coefficient (R2), and Mean Absolute Error (MAE) are used to compare and evaluate the performance of the models. The results revealed that ANN technique is more superior to other techniques for estimating blast-induced PPV. Of the nine developed ANN models, the ANN 7-10-8-5-1 model with three hidden layers (ten neurons in the first hidden layer, eight neurons in the second layers, and five neurons in the third hidden layer) provides the most outstanding performance with an RMSE of 1.061, R2 of 0.980, and MAE of 0.717 on testing datasets. Based on the obtained results, ANN technique should be applied in preliminary engineering for estimating blast-induced PPV in open-pit mine.

Use of Unmanned Aerial Vehicles for 3D topographic Mapping and Monitoring the Air Quality of Open-pit Mines

67%

Bui X. N. , Lee C. , Nguyen Q. L. , Adeel A. , Cao X. C. , Nguyen V. N. , Le V. C. , Nguyen H. , Le Q. T. , Duong T. H. , Nguyen V. D.

Inżynieria Mineralna

2019

tom R. 21, nr 2/2

223--239

Recently remarkable advancement development of unmanned aerial vehicles (UAVs) has been observed and their applications have been shown in many fields such as agriculture, industry, and environmental management. However, in the mining industry, the application of UAV technology remains potential. This paper presents a low-cost unmanned aerial vehicle technology-based system for 3D mapping and air quality monitoring at open-pit mine sites in Vietnam. The system includes several dust sensors that are mounted on a low-cost rotary-wing type UAV. The system collects a variety of data, mainly images and airborne pollutant concentrations. To evaluate the performance of the proposed system, field tests were carried out at the Coc Sau coal mine. Based on the images transmitted to the ground monitoring station, large scale 3D topographic maps were successfully modeled. In addition, sensors mounted on the UAV system were able to monitor the levels of environmental variables associated with the air quality within the pit such as temperature, dust, CO, CO2, and NOx. The field test results in this study illustrate the applicability of the low-cost UAV for the 3D mapping and the air quality monitoring at large and deep coal pits with relatively high accuracy.