Prediction method for risks of coal and gas outbursts based on spatial chaos theory using gas desorption index of drill cuttings
作者： Dingqi Li , Yuanping Cheng , Lei Wang , Haifeng Wang , Liang Wang
DOI: 10.1016/J.MSTC.2011.05.010
关键词: Index (economics) 、 Chaos theory 、 Mean squared prediction error 、 Chaotic 、 Engineering 、 Petroleum engineering 、 Coal 、 Data needs 、 Drill cuttings 、 Geotechnical engineering 、 Desorption
摘要: Abstract Based on the evolution of geological dynamics and spatial chaos theory, we proposed advanced prediction an method a gas desorption index drill cuttings to predict coal outbursts. We investigated verified by series data obtained from II3112 roadway at Shitai Mine. Our experimental results show that distribution has some chaotic characteristics, which implies risk outbursts can be predicted theory. also found proper amount sample needs chosen in order ensure accuracy practical maneuverability prediction. The relative error is small when pace carefully. In our experiments, it turned out optimum number points 80 30. corresponding basically meets requirements engineering applications.
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