From the perspective of geological zone selection for coalbed methane(CBM) development, the evaluation parameters(covering geological conditions and production conditions) of geological sweetspot for CBM development a...From the perspective of geological zone selection for coalbed methane(CBM) development, the evaluation parameters(covering geological conditions and production conditions) of geological sweetspot for CBM development are determined, and the evaluation index system of geological sweetspot for CBM development is established. On this basis, the fuzzy pattern recognition(FPR) model of geological sweetspot for CBM development is built. The model is applied to evaluate four units of No.3 Coal Seam in the Fanzhuang Block, southern Qinshui Basin, China. The evaluation results are consistent with the actual development effect and the existing research results, which verifies the rationality and reliability of the FPR model. The research shows that the proposed FPR model of geological sweetspot for CBM development does not involve parameter weighting which leads to uncertainties in the results of the conventional models such as analytic hierarchy process and multi-level fuzzy synthesis judgment, and features a simple computation without the construction of multi-level judgment matrix. The FPR model provides reliable results to support the efficient development of CBM.展开更多
针对目前边坡监测存在的时效性差、数据散乱、影响施工等问题,将物联网技术引入边坡监测中,探讨了基于物联网的监测信息采集和传输的方法。以监测信息为研究对象,以动态的评价指标体系为基础,结合层次分析法和模糊数学理论,建立边坡稳...针对目前边坡监测存在的时效性差、数据散乱、影响施工等问题,将物联网技术引入边坡监测中,探讨了基于物联网的监测信息采集和传输的方法。以监测信息为研究对象,以动态的评价指标体系为基础,结合层次分析法和模糊数学理论,建立边坡稳定性综合评价模型。利用C#编程语言,以SQL Server 2008为数据库平台,开发了边坡稳定评价系统,并将该系统应用于实际工程,分析结果符合实际情况。展开更多
基金Key Project of China National Natural Science Foundation (42230814,52234002)Research Program Foundation of Key Laboratory of Tectonics and Petroleum Resources (China University of Geosciences),Ministry of Education (TPR-2022-17)。
文摘From the perspective of geological zone selection for coalbed methane(CBM) development, the evaluation parameters(covering geological conditions and production conditions) of geological sweetspot for CBM development are determined, and the evaluation index system of geological sweetspot for CBM development is established. On this basis, the fuzzy pattern recognition(FPR) model of geological sweetspot for CBM development is built. The model is applied to evaluate four units of No.3 Coal Seam in the Fanzhuang Block, southern Qinshui Basin, China. The evaluation results are consistent with the actual development effect and the existing research results, which verifies the rationality and reliability of the FPR model. The research shows that the proposed FPR model of geological sweetspot for CBM development does not involve parameter weighting which leads to uncertainties in the results of the conventional models such as analytic hierarchy process and multi-level fuzzy synthesis judgment, and features a simple computation without the construction of multi-level judgment matrix. The FPR model provides reliable results to support the efficient development of CBM.
文摘针对目前边坡监测存在的时效性差、数据散乱、影响施工等问题,将物联网技术引入边坡监测中,探讨了基于物联网的监测信息采集和传输的方法。以监测信息为研究对象,以动态的评价指标体系为基础,结合层次分析法和模糊数学理论,建立边坡稳定性综合评价模型。利用C#编程语言,以SQL Server 2008为数据库平台,开发了边坡稳定评价系统,并将该系统应用于实际工程,分析结果符合实际情况。
