多道瑞利波在矿井独头巷道超前探中的应用

瑞利波超前探测作为一种新的矿井地球物理探测方法,具有简便、快速、经济、分辨率高、适用场地小、应用范围广等优点。介绍了瑞利波探测技术原理,并将其用于煤矿井下独头巷道大距离超前探测中。实例表明,探测距离达80 m以上,条件允许时可达100 m以上。     

改进的边缘角度直方图在遥感图像检索中的应用

针对基于形状的遥感图像检索中区域分割困难这个问题,本文提出利用边缘角度直方图作为形状特征对遥感图像进行检索;针对遥感影像分辨率和颜色反差对检索性能的影响,本文提出采用多尺度分析的思想,提取图像在多个尺度上的边缘角度直方图特征进行检索。通过单一尺度边缘角度直方图特征和多尺度边缘角度直方图特征检索的对比实验,揭示了本文所提出的改进方案使遥感图像的检索精度提高了约31个百分点。     

石狮市地下管线数据采集与建库

地下管线是城市生存发展的命脉,准确掌握地下各种管线的状况,是搞好城市建设和规划管理工作的基础。本文根据石狮市城市规划建设现状,探讨地下管线普查和采集的方法,提出建立地下管线信息系统等有关问题。     

山东莒南地质公园发现小型兽脚类恐龙 足迹化石Minisauripus

在山东省莒南地质公园内发现6个小型恐龙足迹化石,被归入足迹属Minisauripus。化石产于下白垩统大盛群田家楼组．时代为早白垩世巴列姆（Barremian）-阿普特期（Apdan）。5个较大,长约6cm,产于下部“主”层面上,其中4个组成2节行迹：1个较小,长约3cm,位于“主”层面30cm之上的上部层面上。山东Minisauripus的特征是：足迹个体小（长3．1～5．6cm,宽2．0～3．7cm）,三趾型,略不对称;足迹纵长,各趾近平行,趾垫较清晰;趾末端较钝,但爪迹较尖。Ⅲ趾比Ⅳ趾略长,而Ⅳ趾比Ⅱ趾略长且窄。此外,步幅较长,足长与步长之比约为10：1。与四川、韩国Minisau却淞不同之处是：足迹个体较大,长约是它们的2倍。继中国四川和韩国之后,山东是Minisau而淞在全球的第三个发现点。     

鄂尔多斯盆地靖边气田马五_(1+2)气藏储集单元研究

综合地震、地质、测井等信息,考虑沉积、成岩、地貌、生产动态等多因素,在沟槽识别和致密带研究基础上,通过井间干扰、油层压力变化和试井边界响应分析,按照局部、就近原则对靖边气田马五1+2气藏进行了储集单元划分。共划分出111个储集单元,其中独立型69个,复合型42个。这些储集单元的面积多介于10～50km2之间,单个储集单元的井数一般少于6口。在对气藏储层特征综合认识的基础上,确定流动单元划分思路与流程,并认为关键环节包括古沟槽识别、致密带研究、动静结合确定储集单元等3个方面。储集单元一方面受控于被致密岩相包围的有利成岩相带,宏观上与弱—中等充填泥粉晶白云岩相对应性好;另一方面又受各级古沟槽夹持,在两个一级古沟槽之间往往共生多个储集单元,而这些储集单元边界又严格地受二级或三级沟槽切割控制。     

辽宁中部早中生代地层及找煤远景评价

辽宁中部一些地区的含煤地层以前被认为是白垩系下统的沙海组、阜新组,该观点导致区域地层对比混乱。通过对该区含煤地层组合特征综合分析,认为其应属下侏罗统北票组含煤岩系。此结论对进一步明确该地区找煤方向、确定找煤远景区具有重要意义。     

应用综合勘查方法分析平朔安太堡三号井工矿突水原因

平朔公司安太堡三号井工矿2007年3月在首采工作面辅运顺槽掘进时,迎头冒顶突水,初期突水量达6000～8000m^3/d,将1289．16m标高以下淹没。在分析研究区地层、构造及水文地质条件的基础上,对沙沟河道进行了渗漏观测,对地表排污水、沟水和井下突水点的水质进行了分析化验,有针对性的布置了6条物探线,最后进行了钻孔验证,综合分析认为突水水源主要为大沙沟河道的侧向补给,突水通道为NW向的强风化带。提出了加大井下排水,地表对大沙沟河进行土工膜防渗处理的综合治理措施。     

提高管线探测水平分辨率的技术方法

在平顶山矿工路路面改造工程中,使用GX-2型及RD-4000型地下管线探测仪探测地下管网布设情况。根据地下管线种类、管线布设方位、埋置深度、探测难度大小进行了多次试验,在此基础上确定了电磁探测技术与方法：利用直连法提高被测管线中的交变电流,压制邻近平行管线和地下介质中的异常反映;在多管并存、且间距较小的情况下,应选择“梯度法”对磁场水平分量垂直梯度ΔHx进行观测,以得到最大清晰异常;另外,还应根据具体情况,合理选择诸如压制旁侧管线法、选择发射法、偏移感应法、动源发射法等发射方式,保证目标管线中有较强异常呈现。在管线密集区,应尽可能地降低工作频率,以减小旁侧管线中产生的二次电流及二次磁场;为防止信噪比下降,可适当减小收发距,以提高接收机的灵敏度。     

Estimation of statistical parameters for censored lognormal hydraulic conductivity measurements

Field tests of hydraulic conductivity (e.g., injection test, pumping test, etc.) in low permeability formations are subject to censoring due to the detection limit of the instruments used. An iterative method of estimating the mean and variance of hydraulic conductivity data with a presumed log-normal distribution function is presented. This method accounts for the data that are actually below the lower detection limit (called truncated data) and thus gives distribution parameters that are more representative for the underlying distribution. The proposed method is then tested on two simulated normally distributed random datasets having different variances. The results show that the means and variances estimated by the proposed method are very accurate. Finally, the method is used to estimate the mean and variance of hydraulic conductivity data from single hole water injection tests in a fractured geological formation.     

Estimation of covariance matrix from geochemical data with observations below detection limits

Multivariate statistical analyses have been extensively applied to geochemical measurements to analyze and aid interpretation of the data. Estimation of the covariance matrix of multivariate observations is the first task in multivariate analysis. However, geochemical data for the rare elements, especially Ag, Au, and platinum-group elements, usually contain observations the below detection limits. In particular, Instrumental Neutron Activation Analysis (INAA) for the rare elements produces multilevel and possibly extremely high detection limits depending on the sample weight. Traditionally, in applying multivariate analysis to such incomplete data, the observations below detection limits are first substituted, for example, each observation below the detection limit is replaced by a certain percentage of that limit, and then the standard statistical computer packages or techniques are used to obtain the analysis of the data. If a number of samples with observations below detection limits is small, or the detection limits are relatively near zero, the results may be reasonable and most geological interpretations or conclusions are probably valid. In this paper, a new method is proposed to estimate the covariance matrix from a dataset containing observations below multilevel detection limits by using the marginal maximum likelihood estimation (MMLE) method. For each pair of variables, sayY andZ whose observations containing below detection limits, the proposed method consists of three steps: (i) for each variable separately obtaining the marginal MLE for the means and the variances, , , , and forY andZ: (ii) defining new variables by and and lettingA=C+D andB=C–D, and obtaining MLE for variances, and forA andB; (iii) estimating the correlation coefficient _YZ by and the covariance _YZ by . The procedure is illustrated by using a precious metal geochemical data set from the Fox River Sill, Manitoba, Canada.