滇黔北探区煤层气储层特征及多层合采有利区优选

滇黔北探区赋煤向斜众多,多薄煤层发育,含气量较高,煤层气资源丰富,是筠连外围重要的拓展区块。基于大量煤田孔及煤层气试验井,分析煤层气地质条件,建立多层合采有利区优选评价方法:多层次模糊数学+关键指标法。首先,基于层次递阶优选构建评价模型并确定关键指标,明确关键指标为合采系数、煤体结构、含气量,其中,合采系数由最优合采跨度及合采累计煤厚构成,并给出关键指标的定量评价表,然后,运用模糊数学计算公式,得到储层评分结果,最终获得多层合采有利区优选结果。结果显示:研究区晚二叠世龙潭组/宣威组煤层最多可达到20层以上,可采煤层一般3层左右,煤层总厚度一般在6 m以上,煤层层数及煤层厚度由东南向西北逐渐减少或减薄。大部分区域主力煤层为C5(M11)煤层,厚度一般在2 m以上,其灰分质量分数平均为27.73%,为中灰煤,煤级主要为贫煤–无烟煤。各向斜主力煤层含气性差异性较大,含气量最大可达到30.53 m^(3)/t。研究区煤体结构以原生结构煤和碎裂结构煤为主。以C5(M11)煤层分别向上或向下合采计算合采系数,由此形成了两个合采层段,多层合采Ⅰ类有利区主要位于研究区可乐向斜中西部,牛场–以古向斜南部,镇雄向斜南部,庙坝向斜东南部,洛旺向斜中西部,石坎向斜中西部。

Comprehensive safety factor of roof in goaf underdeep high stress

The safety factor of roof under deep high stress is a quantitative index for evaluating roof stability.Based on the failure mode of surrounding rock of stope roof,the mechanics model of goaf roof is constructed,and the internal force of roof is deduced by the theory of hingeless arch.The calculation method of roof safety factor(K)under the environment of deep mining is proposed in view of compression failure and shear failure of roof.The calculation formulas of shear safety factor(K1),compression safety factor(K2)and comprehensive safety factor(K)of roof are given.The influence of stope span and roof thickness on roof stability is considered in this paper.The results show that when the roof thickness remains constant,the roof safety factor decreases with the increasing of the stope span;when the stope span remains constant,the roof safety factor increases with the increasing of the roof thickness.The deep mining example shows that when the stope span is 30 m and the roof thickness is 10 m,the roof comprehensive safety factor is 1.12,which indicates the roof is in a stable state.

Intelligent Control and Maintenance Man-agement Integrated System Based on Multi-Agents for Coal-Preparation Plant

This paper discusses the progress of computer integrated processing （CIPS） of coal-preparation and then preserits an intelligence controlled production-process, device-maintenance and production-management system of coal- preparation based on multi-agents （IICMMS-CP）. The construction of the IICMMS-CP, the distributed network control system based on live intelligence control stations and the strategy of implementing distributed intelligence control system are studied in order to overcome the disadvantages brought about by the wide use of the PLC system by coaipreparation plants. The software frame, based on a Multi-Agent Intelligence Control and Maintenance Management integrated system, is studied and the implemention methods of IICMMS-CP are discussed. The characteristics of distributed architecture, cooperation and parallel computing meet the needs of integrated control of coal-preparation plants with large-scale spatial production distribution, densely-related processes and complex systems. Its application further improves the reliability and precision of process control, accuracy of fault identification and intelligence of production adjustment, establishes a technical basis for system integration and flexible production. The main function of the system has been tested in a coal-preparation plant to good effect in stabilizing product quality, improving efficiency and reducing consumption.

Mixture Preparation and Combustion of CNG Low-Pressure Compound Direct Injection Spark-Ignited Engines

A set of compressed natural gas (CNG) multi-point direct injection system of spark-ignited engines and the corresponding measurement and data acquisition systems were developed in this paper. Based on different injection modes, the mixture formation and combustion of CNG low-pressure direct injection (LPDI) engines were studied under varying factors such as air/ fuel ratio, injection timing. Meanwhile, three-dimensional simulations were adopted to explain the mixture formation mechanisms of CNG low-pressure compound direct injection (LPCDI) mode. On the basis of test results and simulation of the mixture homogeneous degree, the conception of injection window was proposed, and the LPCDI mode was proved to be more beneficial to the mixture concentration stratification formation in cylinder under lean-burning conditions, which resulted in effective combustion and stability.

Method and Application of Comprehensive Knowledge Discovery

This paper proposes the principle of comprehensive knowledge discovery. Unlike most of the current knowledge discovery methods, the comprehensive knowledge discovery considers both the spatial relations and attributes of spatial entities or objects. We introduce the theory of spatial knowledge expression system and some concepts including comprehensive knowledge discovery and spatial union information table (SUIT). In theory, SUIT records all information contained in the studied objects, but in reality, because of the complexity and varieties of spatial relations, only those factors of interest to us are selected. In order to find out the comprehensive knowledge from spatial databases, an efficient comprehensive knowledge discovery algorithm called recycled algorithm (RAR) is suggested.