The Experts below are selected from a list of 279 Experts worldwide ranked by ideXlab platform
Dong Xiao - One of the best experts on this subject based on the ideXlab platform.
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Coal Exploration based on a multilayer extreme learning machine and satellite images
IEEE Access, 2018Co-Authors: Dong Xiao, Yachun Mao, Shengyong Zhang, Xiaoyu Sun, Xiaobo LiuAbstract:The demand for Coal has been on the rise in modern society. With the number of opencast Coal mines decreasing, it has become increasingly difficult to find Coal. Low efficiencies and high casualty rates have always been problems in the process of Coal Exploration due to complicated geological structures in Coal mining areas. Therefore, we propose a new Exploration technology for Coal that uses satellite images to explore and monitor opencast Coal mining areas. First, we collected bituminous Coal and lignite from the Shenhua opencast Coal mine in China in addition to non-Coal objects, including sandstones, soils, shales, marls, vegetation, Coal gangues, water, and buildings. Second, we measured the spectral data of these objects through a spectrometer. Third, we proposed a multilayer extreme learning machine algorithm and constructed a Coal classification model based on that algorithm and the spectral data. The model can assist in the classification of bituminous Coal, lignite, and non-Coal objects. Fourth, we collected Landsat 8 satellite images for the Coal mining areas. We divided the image of the Coal mine using the constructed model and correctly described the distributions of bituminous Coal and lignite. Compared with the traditional Coal Exploration method, our method manifested an unparalleled advantage and application value in terms of its economy, speed, and accuracy.
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Coal Exploration technology based on visible-infrared spectra and remote sensing data
Spectroscopy Letters, 2017Co-Authors: Dong Xiao, Desmond Okello, Trung Thanh DoanAbstract:ABSTRACTIn the modern society, Coal is used as the main source of energy. In this paper, based on the theory of the remote sensing, the distributions of the Coal mine area through the satellite imagery are measured. First, the satellite pictures of Coal mining regions in Quangninh of Vietnam and Huolinhe of China were gathered as the experimental data. Second, spectrometer was used to measure the spectral data of the Coal samples of these two regions. The measured data provide comprehensive and accurate spectral characteristics of the Coal. Then the classification model can be built by the improved extreme learning machines algorithm based on the measured data and the remote sensing data. Finally, the distribution image of the Coal mine area is obtained accurately based on the classification model.
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Research on Coal Exploration Technology Based on Satellite Remote Sensing
Journal of Sensors, 2016Co-Authors: Dong Xiao, Yachun Mao, Ba Tuan Le, Liang Song, Jinhong Jiang, Shanjun LiuAbstract:Coal is the main source of energy. In China and Vietnam, Coal resources are very rich, but the Exploration level is relatively low. This is mainly caused by the complicated geological structure, the low efficiency, the related damage, and other bad situations. To this end, we need to make use of some advanced technologies to guarantee the resource Exploration is implemented smoothly and orderly. Numerous studies show that remote sensing technology is an effective way in Coal Exploration and measurement. In this paper, we try to measure the distribution and reserves of open-air Coal area through satellite imagery. The satellite picture of open-air Coal mining region in Quang Ninh Province of Vietnam was collected as the experimental data. Firstly, the ENVI software is used to eliminate satellite imagery spectral interference. Then, the image classification model is established by the improved ELM algorithm. Finally, the effectiveness of the improved ELM algorithm is verified by using MATLAB simulations. The results show that the accuracies of the testing set reach 96.5%. And it reaches 83% of the image discernment precision compared with the same image from Google.
J. Edward Kragh - One of the best experts on this subject based on the ideXlab platform.
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the crosshole seismic reflection method in opencast Coal Exploration
First Break, 1991Co-Authors: M J Findlay, N R Goulty, J. Edward KraghAbstract:In opencast Coal Exploration in the UK, a dense grid of boreholes is drilled to provide the necessary information on the quantity and quality of Coal reserves and on the geological structure. Typically, borehole spacing is 40-60 m, but it may be reduced around faults or where there are old room-and-pillar mineworkings. Even with this density of boreholes, it is not possible to detect faults with throws less than 2-3 m, and these can pose a hazard to stability during excavation which may be particularly critical at site boundaries. Also, estimates of the quantity of Coal reserves could be improved if old mineworkings were located more accurately. The potential of borehole seismic surveys in this application was discussed in more detail in an earlier paper (Kragh el al. 1991). Here we report on the development of the crosshole reflection method, making use of opencast Exploration boreholes, to provide seismic cross-sections between boreholes. Small explosive charges are used as sources with hydrophones as receivers. The use of downhole sources and receivers leads to excellent resolution compared with surface seismic and VSP surveys; signal bandwidth is typically 200-500 Hz. Readers interested in the application of cross-well surveys to the definition of hydrocarbon reservoirs will note that the environmental conditions for our surveys were relatively undemanding: low temperatures and hydrostatic pressures in uncased boreholes at relatively close separations. Nevertheless, the results indicate the potential of the method for deeper, larger scale surveys in sedimentary rocks, where even higher frequencies can be successfully transmitted (e.g. Harris 1988).
Sedat Inan - One of the best experts on this subject based on the ideXlab platform.
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an environmentally friendly integrated seismic imaging for Coal Exploration in the miocene soma basin western turkey
International Journal of Oil Gas and Coal Technology, 2014Co-Authors: Ruhi Saatcilar, Sedat Inan, Ali Cankurtaranlar, Firat Duygun, Emin Demirbag, Semih Ergintav, Murat Yilmaz, Ali Riza Toygar, Ayhan Kosebalaban, Namik M YalcinAbstract:Seismic reflection data from target depths of several hundred metres have been acquired and processed as an aid for lignite Exploration in the Miocene Soma Basin, western Turkey. An environmentally-friendly approach was followed by acquiring the data with mini-vibroseisseismic source along crooked lines, using available mountain/forest and village roads; quality control tests were conducted to determine optimal field parameters that would yield dataset with best signal-to-noise (SN) ratio prior to real data acquisition; and stratigraphic interfaces giving rise to reflection events in the seismic data were identified from the vertical seismic profiling (VSP). Stacked seismic sections were successfully correlated with geological cross-sections drawn based on available borehole data. Thus, it is shown that decreasing time and the cost for Coal Exploration is possible by utilising surface and VSP. Environment friendly approach of the seismic method applied in this study is also beneficial in regard to environmental concerns.
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Underground Coal determination by integrated (Reflection & WVSP) seismic in the miocene Soma basin (Western Turkey)
2010Co-Authors: Sedat Inan, Yuda YürümAbstract:The Neogene Basins of Turkey contain as much as 9 billion tons of lignite-rank Coal (Şengiller, 2001; Tuncah et al., 2002). The Miocene Soma Basin, a rift basin trending NE-SW (approximately 20 kilometers by 5 kilometers) in the Aegean Extensional Province (EAP) of Western Turkey, is estimated to contain. at the least one billion tons of lignite and about half of this reserve is present at depths greater than 600 m (Turkish Coal Enterprises, 2006). Miocene marlJlimestone units and Pliocene clastics and volcanic tuffs overlie the Miocene Coals of the Soma basin. There are several Coal seams in the basin but the most economical and thus target seam is known as KM2 with an average thickness of about 20 meter across the basin. In the Soma Basin, Turkish Coal Enterprises (00) has mined this KM2 seam by open cut Coal mining and underground mining for several decades in the Northern and Central part of the basin, respectively. Recently, Coal Exploration activities have been extended to the Southern part of the basin by means of exploratory drillings. In order to aid fast and economical Coal Exploration activities of the Turkish Coal Enterprises (TKt), a colloborative work has been started for development of an integrated seismic method for Coal Exploration. The aim is to develop a practical seismic method for TKI to apply in its Exploration activities in other lignite Coal basins of Turkey. The information gathered from tens of Coal Exploration borehole! already drilled in the study area will be used to calibrate the horizons to be mapped b) surface seismic and WVSP methods (Tselentis and Paraskevopoulos, 2002). Surface seismic data will be collected on roughly East-West and North-South oriented lines Furthermore, at the intersect of these lines borehole WVSP data will be collected. The seismic source for both surface and borehole WVSP seismic will be a mini-vibrator and the data will be collected contamporanously. The seismic study will be conductec between May and July 2010. Soon after, the seismic data processing work will be initiated.
N R Goulty - One of the best experts on this subject based on the ideXlab platform.
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the crosshole seismic reflection method in opencast Coal Exploration
First Break, 1991Co-Authors: M J Findlay, N R Goulty, J. Edward KraghAbstract:In opencast Coal Exploration in the UK, a dense grid of boreholes is drilled to provide the necessary information on the quantity and quality of Coal reserves and on the geological structure. Typically, borehole spacing is 40-60 m, but it may be reduced around faults or where there are old room-and-pillar mineworkings. Even with this density of boreholes, it is not possible to detect faults with throws less than 2-3 m, and these can pose a hazard to stability during excavation which may be particularly critical at site boundaries. Also, estimates of the quantity of Coal reserves could be improved if old mineworkings were located more accurately. The potential of borehole seismic surveys in this application was discussed in more detail in an earlier paper (Kragh el al. 1991). Here we report on the development of the crosshole reflection method, making use of opencast Exploration boreholes, to provide seismic cross-sections between boreholes. Small explosive charges are used as sources with hydrophones as receivers. The use of downhole sources and receivers leads to excellent resolution compared with surface seismic and VSP surveys; signal bandwidth is typically 200-500 Hz. Readers interested in the application of cross-well surveys to the definition of hydrocarbon reservoirs will note that the environmental conditions for our surveys were relatively undemanding: low temperatures and hydrostatic pressures in uncased boreholes at relatively close separations. Nevertheless, the results indicate the potential of the method for deeper, larger scale surveys in sedimentary rocks, where even higher frequencies can be successfully transmitted (e.g. Harris 1988).
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Hole-to-surface seismic reflection surveys for opencast Coal Exploration
53rd EAEG Meeting, 1991Co-Authors: E. Kragh, N R GoultyAbstract:Opencast Coal mines in such a densely populated country as the UK are mostly of small size by world standards, but they are highly profitable. Annual production of opencast Coal is currently about 17 million tonnes, constituting some 20% of the UK Coal industry's total output. Transport costs are low as the Coal is produced for domestic consumption, and consequently opencast Coal is a very important national resource.
Namik M Yalcin - One of the best experts on this subject based on the ideXlab platform.
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an environmentally friendly integrated seismic imaging for Coal Exploration in the miocene soma basin western turkey
International Journal of Oil Gas and Coal Technology, 2014Co-Authors: Ruhi Saatcilar, Sedat Inan, Ali Cankurtaranlar, Firat Duygun, Emin Demirbag, Semih Ergintav, Murat Yilmaz, Ali Riza Toygar, Ayhan Kosebalaban, Namik M YalcinAbstract:Seismic reflection data from target depths of several hundred metres have been acquired and processed as an aid for lignite Exploration in the Miocene Soma Basin, western Turkey. An environmentally-friendly approach was followed by acquiring the data with mini-vibroseisseismic source along crooked lines, using available mountain/forest and village roads; quality control tests were conducted to determine optimal field parameters that would yield dataset with best signal-to-noise (SN) ratio prior to real data acquisition; and stratigraphic interfaces giving rise to reflection events in the seismic data were identified from the vertical seismic profiling (VSP). Stacked seismic sections were successfully correlated with geological cross-sections drawn based on available borehole data. Thus, it is shown that decreasing time and the cost for Coal Exploration is possible by utilising surface and VSP. Environment friendly approach of the seismic method applied in this study is also beneficial in regard to environmental concerns.