The Experts below are selected from a list of 321 Experts worldwide ranked by ideXlab platform
Rui Nie - One of the best experts on this subject based on the ideXlab platform.
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An evaluating system for scientific mining of China's Coal Resources
Resources Policy, 2017Co-Authors: Chong Mao Li, Rui NieAbstract:Coal as the basic energy in China plays a pivotal role in supporting national economic development and protecting national energy safety. The sustainable development of China's Coal industry is still a hot topic both in practice and research. In terms of the lack of theoretical researches and practical applications of scientific Coal mining evaluation, we built an evaluating system to assess the current development activities of Coal enterprises. In the present work, to evaluate the scientific basis for Coal mining systematically, effectively and objectively, the key indexes for assessing the level of scientific mining of Coal Resources were established using the document analysis method and the expert consultation method. The evaluating system consisting of 5 dimensions (informatization, productivity, safe mining, full cost and green mining), 18 criteria, and 56 assessment factors was constructed. Then, the weight values at all levels in the evaluating system were calculated using the analytical hierarchy process (AHP). Finally, an evaluating model for scientific mining could be constructed based on the comprehensive index assessment method. The application of this evaluating system of scientific mining could be used for finding the existing problems in the Coal production process. Therefore, the Coal enterprise managers and the government regulators could make the appropriate policies to enhance the scientific exploitation level of Coal mines.
O Falivene - One of the best experts on this subject based on the ideXlab platform.
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forecasting Coal Resources and reserves in heterogeneous Coal zones using 3d facies models as pontes basin nw spain
International Journal of Coal Geology, 2014Co-Authors: O Falivene, Lluis Cabrera, Alberto SaezAbstract:Abstract Forecasting Coal Resources and reserves is critical for Coal mine development. Thickness maps are commonly used for assessing Coal Resources and reserves; however they are limited for capturing Coal splitting effects in thick and heterogeneous Coal zones. As an alternative, three-dimensional geostatistical methods are used to populate facies distribution within a densely drilled heterogeneous Coal zone in the As Pontes Basin (NW Spain). Coal distribution in this zone is mainly characterized by Coal-dominated areas in the central parts of the basin interfingering with terrigenous-dominated alluvial fan zones at the margins. The three-dimensional models obtained are applied to forecast Coal Resources and reserves. Predictions using subsets of the entire dataset are also generated to understand the performance of methods under limited data constraints. Three-dimensional facies interpolation methods tend to overestimate Coal Resources and reserves due to interpolation smoothing. Facies simulation methods yield similar resource predictions than conventional thickness map approximations. Reserves predicted by facies simulation methods are mainly influenced by: a) the specific Coal proportion threshold used to determine if a block can be recovered or not, and b) the capability of the modelling strategy to reproduce areal trends in Coal proportions and splitting between Coal-dominated and terrigenous-dominated areas of the basin. Reserves predictions differ between the simulation methods, even with dense conditioning datasets. Simulation methods can be ranked according to the correlation of their outputs with predictions from the directly interpolated Coal proportion maps: a) with low-density datasets sequential indicator simulation with trends yields the best correlation, b) with high-density datasets sequential indicator simulation with post-processing yields the best correlation, because the areal trends are provided implicitly by the dense conditioning data.
Li Chun-tian - One of the best experts on this subject based on the ideXlab platform.
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Some Measures of Improving the Recovery Rate of Coal Resources
Coal Technology, 2020Co-Authors: Li Chun-tianAbstract:Improve the recovery rate of Coal Resources in very important. According to the reserves surplus condition in Fuli Coal field, some measures on reasonable valid use Coal Resources are suggested.
Alberto Saez - One of the best experts on this subject based on the ideXlab platform.
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forecasting Coal Resources and reserves in heterogeneous Coal zones using 3d facies models as pontes basin nw spain
International Journal of Coal Geology, 2014Co-Authors: O Falivene, Lluis Cabrera, Alberto SaezAbstract:Abstract Forecasting Coal Resources and reserves is critical for Coal mine development. Thickness maps are commonly used for assessing Coal Resources and reserves; however they are limited for capturing Coal splitting effects in thick and heterogeneous Coal zones. As an alternative, three-dimensional geostatistical methods are used to populate facies distribution within a densely drilled heterogeneous Coal zone in the As Pontes Basin (NW Spain). Coal distribution in this zone is mainly characterized by Coal-dominated areas in the central parts of the basin interfingering with terrigenous-dominated alluvial fan zones at the margins. The three-dimensional models obtained are applied to forecast Coal Resources and reserves. Predictions using subsets of the entire dataset are also generated to understand the performance of methods under limited data constraints. Three-dimensional facies interpolation methods tend to overestimate Coal Resources and reserves due to interpolation smoothing. Facies simulation methods yield similar resource predictions than conventional thickness map approximations. Reserves predicted by facies simulation methods are mainly influenced by: a) the specific Coal proportion threshold used to determine if a block can be recovered or not, and b) the capability of the modelling strategy to reproduce areal trends in Coal proportions and splitting between Coal-dominated and terrigenous-dominated areas of the basin. Reserves predictions differ between the simulation methods, even with dense conditioning datasets. Simulation methods can be ranked according to the correlation of their outputs with predictions from the directly interpolated Coal proportion maps: a) with low-density datasets sequential indicator simulation with trends yields the best correlation, b) with high-density datasets sequential indicator simulation with post-processing yields the best correlation, because the areal trends are provided implicitly by the dense conditioning data.
Chong Mao Li - One of the best experts on this subject based on the ideXlab platform.
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An evaluating system for scientific mining of China's Coal Resources
Resources Policy, 2017Co-Authors: Chong Mao Li, Rui NieAbstract:Coal as the basic energy in China plays a pivotal role in supporting national economic development and protecting national energy safety. The sustainable development of China's Coal industry is still a hot topic both in practice and research. In terms of the lack of theoretical researches and practical applications of scientific Coal mining evaluation, we built an evaluating system to assess the current development activities of Coal enterprises. In the present work, to evaluate the scientific basis for Coal mining systematically, effectively and objectively, the key indexes for assessing the level of scientific mining of Coal Resources were established using the document analysis method and the expert consultation method. The evaluating system consisting of 5 dimensions (informatization, productivity, safe mining, full cost and green mining), 18 criteria, and 56 assessment factors was constructed. Then, the weight values at all levels in the evaluating system were calculated using the analytical hierarchy process (AHP). Finally, an evaluating model for scientific mining could be constructed based on the comprehensive index assessment method. The application of this evaluating system of scientific mining could be used for finding the existing problems in the Coal production process. Therefore, the Coal enterprise managers and the government regulators could make the appropriate policies to enhance the scientific exploitation level of Coal mines.