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971.
叠前时间偏移技术在八宝矿区的应用   总被引:1,自引:0,他引:1  
八宝矿区总体构造形态为不对称的向斜构造,北翼岩层倾角达60°~80°,南翼倒转,矿区断层较多,三维地震叠后时间偏移成像困难,为此进行了三维叠前时间偏移外理。在本次地震资料处理中,选取偏移孔径为5000,依据CRP道集拉平程度确定叠前时间偏移速度场,以区内CMP道集内的炮检距分布情况确定最大、最小炮检距和炮检距增量,并将反假频距离确定为CMP间距的1~1.5倍。通过对比叠前、叠后时间偏移剖面,可以发现叠前时间偏移剖面能够较好地反眏深层构造及大倾角地层情况,其信噪比较高,地震剖面同相轴连续性好,断点清晰,处理效果显著。  相似文献   
972.
应用储层流体包裹技术研究了恩平凹陷油气的成藏规律.结果表明,该区油气主要有两期充注,第一期充注时间较早(20 Ma),以油为主,原油主要来自深部文昌组中深湖相烃源岩,大量油气见于浅层储层;第二期充注时间较晚(5 Ma以后),以天然气为主,天然气主要源自文昌组烃源岩,油气主要分布在深层储集层中.研究认为第一期油气充注与盖层形成时间匹配不好,可能是浅层勘探失利的主要原因之一,因此勘探方向应以深层储层(文昌组)为主,寻找深层早期构造更为重要,是下一步勘探的重要领域.  相似文献   
973.
依据尕斯库勒油田实际资料,分析了粒度中值、泥质体积分数、灰质体积分数、孔隙度与渗透率以及与测井曲线之间的关系,建立了一套直接利用测井资料进行储层流动单元划分的技术方法,实现了流动单元纵向上的连续自动划分.采用聚类分析方法,把储层划分为E、G、M和P 4类,平面上流动单元的分布主要受沉积微相控制,E、G类流动单元主要沿水下分流河道的主流线分布,G类流动单元主要分布在河口砂坝和河道侧缘,M类流动单元分布在席状砂部位,P类流动单元零星分布在砂体尖灭的边缘部位.  相似文献   
974.
论VAM的适宜时间   总被引:1,自引:1,他引:0  
垂直角观测(vAM)的质量与作业时间有关.通过对大气折光角及其起伏的日变化规律的分析,提出了一种根据动态照准误差确定vAM的有利与不利时间的方法.与传统的观点相比较,采用该法确定的适宜时间将具有更高的参考价值.  相似文献   
975.
Terrorism is a complex phenomenon with high uncertainty involving a myriad of dynamic known and unknown factors. It is and will remain a challenge to predict or detect terrorism outbreaks at an early stage. This research presents an alternative approach for modeling terrorism activity, one that monitors and detects space–time clusters of terrorist incidents using prospective space–time scan statistics. Such clusters provide indicators of potential outbreaks of terrorist incidents. To evaluate the effectiveness of the approach, we analyze the terrorist incidents in the Consortium for the Study of Terrorism and Responses to Terrorism's (START) Global Terrorism Database (GTD) from 1998 to 2004. Clusters of terrorist events are detected at each time stamp and life trajectories of these clusters are constructed based on their space–time relationship to each other. Through the life trajectories and trends of clusters, we demonstrate how space–time scan statistics detect terrorism outbreaks at an early stage.  相似文献   
976.
Moving objects produce trajectories, which are typically observed in a finite sample of time‐stamped locations. Between sample points, we are uncertain about the moving objects's location. When we assume extra information about an object, for instance, a (possibly location‐dependent) speed limit, we can use space–time prisms to model the uncertainty of an object's location.

Until now, space–time prisms have been studied for unconstrained movement in the 2D plane. In this paper, we study space–time prisms for objects that are constrained to travel on a road network. Movement on a road network can be viewed as essentially one‐dimensional. We describe the geometry of a space–time prism on a road network and give an algorithm to compute and visualize space–time prisms. For experiments and illustration, we have implemented this algorithm in MATHEMATICA.

Furthermore, we study the alibi query, which asks whether two moving objects could have possibly met or not. This comes down to deciding if the chains of space–time prisms produced by these moving objects intersect. We give an efficient algorithm to answer the alibi query for moving objects on a road network. This algorithm also determines where and when two moving objects may have met.  相似文献   
977.
This article studies probabilistic time geography for space–time prisms, that is, for situations where observers know the location of an agent at one time and then again at another time. In the intervening period, the agent would have moved freely, according to its time budget. The article demonstrates that the probability of finding the agent somewhere in the space–time prism is not equally distributed, so any attempt of a quantitative time geographic analysis must consider the actual probability distribution. This article develops, implements, and demonstrates this distribution. A preceding article introduced probabilistic time geography for space–time cones. With cones and prisms, the elementary space–time volumes of time geography are provided.  相似文献   
978.
A distance cartogram is a diagram that visualizes the proximity indices between points in a network, such as time–distances between cities. The Euclidean distances between the points on the distance cartogram represent the given proximity indices. This is a useful visualization tool for the level of service of transport, e.g. difference in the level of service between regions or points in a network and its improvement in the course of time. The two previously proposed methods—multidimensional scaling (MDS) and network time–space mapping—have certain advantages and disadvantages. However, we observe that these methods are essentially the same, and the merits of both these methods can be combined to formulate a generalized solution. In this study, we first formulate the time–space mapping problem, which includes the key features of both of the above stated methods, and propose a generalized solution. We then apply this solution to the time–distances of Japan's railway networks to confirm its applicability.  相似文献   
979.
Exploring the evolution of people’s social interactions along with their changing physical locations can help to achieve a better understanding of the processes that generate the relationships between physical distance and social interactions, which can benefit broad fields of study related to social networks. However, few studies have examined the evolving relationships between physical movements and social closeness evolution. This is partially related to the shortage of longitudinal data in both physical locations and social interactions and the lack of an exploratory analysis environment capable of effectively investigating such a process over space and time. With the increasing availability of sociospatiotemporal data in recent years, it is now feasible to examine the relationships between physical separation and social interactions at the individual level in a space–time context. This research was intended to offer a spatiotemporal exploratory analysis approach to address this challenge. The first step was to propose the concept of a social closeness space–time path, which is an extension of the space–time path concept in time geography, to represent evolving human relationships in a social closeness space. A space–time geographical information system (GIS) prototype was then designed to support the representation and analysis of space–time paths in both physical and social closeness spaces. Finally, the effectiveness of the proposed concept and design in gaining insight into the impact of physical migration on online social closeness was demonstrated through an empirical study. The contributions of this study include an extension of the time–geographic framework from physical space to social closeness space, the development of a multirepresentation approach in a GIS to integrate an individual’s space–time paths in both physical and social closeness spaces, and an exploratory analysis of the evolving relationships between physical separation and social closeness over time.  相似文献   
980.
Intensity Analysis is a mathematical framework that compares a uniform intensity to observed intensities of temporal changes among categories. Our article summarizes Intensity Analysis and presents a new method to compute the minimum hypothetical error in the data that could account for each observed deviation from a uniform intensity. A larger hypothetical error gives stronger evidence against a hypothesis that a change is uniform. The method produces results for five groups of measurements, which are organized into three levels of analysis: interval, category, and transition. The method applies generally to analysis of changes among categories during time intervals, because the input is a standard contingency table for each time interval. We illustrate the method with a case study concerning change during three time intervals among four land categories in northeastern Massachusetts, USA. Modelers can perform the analysis using our computer program, which is free.  相似文献   
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