一种元胞自动机与类电磁法相结合的行人流模型

针对室内空间的行人流疏散过程,在元胞自动机的基础上,利用类电磁法和模糊神经网络建立了一种新的行人流优化模型.该模型首先基于静态影响因素和动态影响因素给出了行人移动概率的计算公式,以及行人流演化过程.同时,结合疏散时间、系统平均速度、出口处流率给出了目标优化函数,并通过类电磁法和模糊神经网络对上述目标函数进行求解.最后,利用仿真平台进行实验,深入分析了疏散时间、出口宽度和初始行人密度之间的关系.结果表明,疏散时间与出口宽度呈现负相关,并且适当提高系统平均速度有利于降低疏散时间.

Prediction study of hydrocarbon reservoir based on time-frequency domain electromagnetic technique taking Ili Basin as an example

The time-frequency domain electromagnetic(TFEM)sounding technique can directly detect oil and gas characteristics through anomalies in resistivity and polarizability.In recent years,it has made some breakthroughs in hydrocarbon detection.TFEM was applied to predict the petroliferous property of the Ili Basin.In accordance with the geological structure characteristics of the study area,a two-dimensional layered medium model was constructed and forward modeling was performed.We used the forward-modeling results to guide fi eld construction and ensure the quality of the fi eld data collection.We used the model inversion results to identify and distinguish the resolution of the geoelectric information and provide a reliable basis for data processing.On the basis of our results,key technologies such as 2D resistivity tomography imaging inversion and polarimetric constrained inversion were developed,and we obtained abundant geological and geophysical information.The characteristics of the TFEM anomalies of the hydrocarbon reservoirs in the Ili Basin were summarized through an analysis of the electrical logging data in the study area.Moreover,the oil-gas properties of the Permian and Triassic layers were predicted,and the next favorable exploration targets were optimized.

煤矿含水异常体矿井综合物探方法及应用

为实现对煤矿含水异常体的井下精细化探测,基于煤矿含水异常体类型划分及特点分析,研究了矿井物探方法特点及适用条件,并结合综合物探应用案例进行了分析。结果表明:煤矿含水异常体可分为突水水源和导水通道2大类;煤矿含水异常体精细综合物探应采用2种或2种以上的物探方法,做到地震类方法与电磁类方法相配合、同类物探方法相补充;矿井物探方法主要分为矿井电磁类方法和矿井地震类方法,矿井综合物探勘查可以按掘进头超前探测、工作面内部探测、顶底板探测进行分类,应根据含水异常体类型和特点选择适合的矿井综合物探方法;案例表明了综合物探具有良好的应用效果。