复杂地质背景下露天采场边坡失稳地质灾害预测及其防治对策

露天采矿场边坡失稳作为露天开采矿山常见的一种地质灾害,对采矿工人的人身安全和矿山开采设施及财产造成了极大危害。本文通过对大宝山露天采场边坡相关影响因素的研究,从影响采场稳定性的地质因素、采空区综合分析,辅以赤平极射投影的方法,探讨了在复杂地质背景下露天采场边坡失稳地质灾害的预测及其综合治理对策。     

采矿权资产证券化初探

随着国家经济的转型升级,去产能、去杠杆的推进,在目前经济不景气的情况下,大部分矿山企业迫切需要有创新性的融资渠道来解决企业融资难的问题.相比较而言,资产证券化比较适合矿山企业.矿山企业依托矿产资源而生存,拥有这些资源的开采权利(采矿权),毫无疑问是这个矿山企业的核心资产.本文研究了目前采矿权资产证券化的国内外研究现状,并且从内部的因素和外部的政策因素分析了采矿权资产证券化的动因,由此探索如何进行采矿权资产证券化的具体流程以及如何设计出交易结构.同时指出采矿权资产证券化有利于实现多方共赢,增加了企业的融资方式,有利于金融的创新.     

基于GIS的青海高寒区矿山地质环境影响程度模糊评价

青海省的矿产资源主要分布于青藏高原高寒区,处于生态环境脆弱地区,具有独特的地质环境条件,生态环境保护与矿业的开发之间矛盾突出。本文以青海省东部大通河上游的江仓煤矿四井田为例,将影响矿山地质环境质量的主要矿山地质环境地质要素概括为自然因子和人为因子二大类。为尽可能实现多因素的影响和评价因子的量化,将评价因子划分为三级,建立了矿山地质环境影响程度评价指标体系。在GIS支持下,建立影响程度评价因子数据库。利用GIS空间栅格叠加分析功能,采用三级模糊综合评判方法对矿山地质环境影响程度进行了综合评价,编制了矿山地质环境影响程度评价图。基于GIS的矿山地质环境影响程度模糊评价方法将GIS技术和模糊数学理论引入矿山地质环境影响程度评价研究之中,达到了定性、定量以及定位相结合,从而可为受损的矿山地质环境实施科学保护与治理提供更加精确的信息。     

受控定向钻进技术在福建马坑矿区的应用

重点介绍了福建马坑矿区ZK8321分支孔受控定向钻进技术。施工中运用了国内先进的螺杆钻造斜技术及光纤陀螺测量定向技术,避开上部复杂孔段（松散破碎层、溶洞地层、采空区等）及对勘探工作的影响,达到了施工目的;总结了施工技术难点与措施,分析了施工技术效果,积累了宝贵的施工经验。     

白杨河矿区煤层气丛式井钻井难点及对策研究

新疆阜康市白杨河矿区煤层气开发利用先导性示范工程是新疆第一个煤层气示范工程项目。白杨河矿区总体构造为向南倾斜的单斜构造,地层倾角大,煤层多且间距大。该示范工程开发方案主要井型为丛式井。经过多年钻井实践,丛式井钻井技术在鄂尔多斯盆地东缘煤层气区块已经非常成熟,初步形成了一套适合该地区煤层气开发的丛式井钻井技术。由于白杨河矿区地质条件与鄂尔多斯盆地东缘各区块相比差异大,特别是存在地层倾角大、煤层多且间距大等地质特点,因此不能完全照搬原有的丛式井钻井技术。本文依据白杨河矿区地质资料,分析了白杨河矿区煤层气丛式井钻井难点,对解决该区块钻井难点的技术对策和攻关思路进行了总结与阐述,初步形成了一套适合白杨河矿区大倾角厚煤层的丛式井钻井技术。     

News from the seabed – Geological characteristics and resource potential of deep-sea mineral resources

Marine minerals such as manganese nodules, Co-rich ferromanganese crusts, and seafloor massive sulfides are commonly seen as possible future resources that could potentially add to the global raw materials supply. At present, a proper assessment of these resources is not possible due to a severe lack of information regarding their size, distribution, and composition. It is clear, however, that manganese nodules and Co-rich ferromanganese crusts are a vast resource and mining them could have a profound impact on global metal markets, whereas the global resource potential of seafloor massive sulfides appears to be small. These deep-sea mineral commodities are formed by very different geological processes resulting in deposits with distinctly different characteristics. The geological boundary conditions also determine the size of any future mining operations and the area that will be affected by mining. Similarly, the sizes of the most favorable areas that need to be explored for a global resource assessment are also dependent on the geological environment. Size reaches 38 million km² for manganese nodules, while those for Co-rich crusts (1.7 million km²) and massive sulfides (3.2 million km²) are much smaller. Moreover, different commodities are more abundant in some jurisdictions than in others. While only 19% of the favorable area for manganese nodules lies within the Exclusive Economic Zone of coastal states or is covered by proposals for the extension of the continental shelf, 42% of the favorable areas for massive sulfides and 54% for Co-rich crusts are located in EEZs.     

深海采矿转臂机构采矿姿态优化研究

针对海底地形不平坦特性,提出了一种变幅机构来自适应海底地形采矿姿态的采矿机构。综合考虑采矿机构采掘头距海底高度对采矿率影响,利用关键点法建立了节臂上的点到海底地形距离的数学模型。在此基础上,建立了以采矿率最高为目标的最优采矿姿态数学模型。以某实际地形为例,采用模拟退火遗传算法优化求解最优采矿姿态。根据其优化后结果可知,其最优采矿姿态与海底地形坡度变化一致,从而证明了采矿姿态模型的正确性。     

Interactive discovery of sequential patterns in time series of wind data

Wind speed and direction vary over space and time due to the interactions between different pressures and temperature gradients within the atmospheric layers. Near the earth’s surface, these interactions are modulated by topography and artificial structures. Hence, characterizing wind behaviour over large areas and long periods is a complex but essential task for various energy-related applications. In this study, we present a novel approach to discover wind patterns by integrating sequential pattern mining and interactive visualization techniques. The approach relies on the use of the Linear time Closed pattern Miner sequence algorithm in conjunction with a time sliding window that allows the discovery of all sequential patterns present in the data. These patterns are then visualized using integrated 2D and 3D coordinated multiple views and visually explored to gain insight into the characteristics of the wind from a spatial, temporal and attribute (type of wind pattern) point of view. This proposed approach is used to analyse 10 years of hourly wind speed and direction data for 29 weather stations in the Netherlands. The results show that there are 15 main sequential patterns in the data. The spatial task shows that weather stations located in the same region do not necessarily experience similar wind pattern. For within the selected time interval, similar wind patterns can be observed in different stations and in the same station at different times of occurrence. The attribute task discovered that the repetitive occurrences of chosen pattern indicate as regular wind behaviour at different weather stations that persisted continuously over time. The results of these tasks show that the proposed interactive discovery facilitates the understanding of wind dynamics in space and time.     

Integration of GIS and video surveillance

This paper discusses the integration of three-dimensional (3D) geographic information systems (GIS) and video surveillance systems using augmented reality (AR) techniques. The motivation for this integration is to overcome problems faced by conventional video surveillance systems. Explicit information concerning which camera currently monitors what area in such systems is missing; therefore, insight into the situation depends heavily on the operator’s training and experience. To ensure the complete coordination and monitoring of a situation in a system with multiple cameras, it is necessary to introduce a single reference system. GIS arises as a natural solution because it not only provides a solid ground truth but also provides semantic information that can be highly important in certain video surveillance applications. To integrate information into a GIS application, that information must be georeferenced. Based on our previous research regarding the addition of georeferencing information to surveillance video, this paper introduces models that can be applied to help integrate video and GIS. With an analogy to Milgram’s continuum between the real world and virtual reality, and analogous to the augmented reality and augmented virtuality in Milgram’s continuum, two models of integration are defined here: GIS-augmented video and video-augmented GIS. Then, we define the architecture of GIS-based video surveillance based on these proposed integration models, and finally, a prototype is implemented. The implemented prototype serves as a basis for analysing possible applications of real-world systems based on the integration of GIS and video.     

青海省祁连县大拉洞柏杨沟矿区煤岩层对比研究

通过研究太原组的沉积特征及聚煤变化规律,采用了标志层、煤岩层组合特征、层间距、测井曲线形态等方法,对矿区内煤层、岩层进行了综合对比。确定了该区主要煤层的赋存层位、形态、分布及变化特征,对周边地区找煤工作具有一定的指导作用。