火山沉积岩及其矿床研究中伽马测井曲线解释的误区

根据酸性凝灰岩和酸性火山事件粘土岩的自然伽马测井曲线,对当前流传的"沉积岩层的放射性强度(或放射性核素的含量)随泥质含量的增加而增高"的概念和用自然伽马值及经验公式求泥质含量提出质凝。酸性凝灰岩的自然伽马曲线有高异常响应,若解释为泥岩显然是误解,故将沉积岩伽马曲线高异常一律解释为泥岩是片面的。各类火山事件粘土岩的伽马值相差悬殊,但其泥质含量几乎相等,用它们的伽马值计算泥质含量误差甚大。最后对铝土矿层的伽马曲线稍加解释,指出核测井应用的远景。     

井中激电地-井方式井旁球体正反演

以激发极化法中的地-井方式中的体极化球形体作为研究对象,采用解析法对地下半空间的电位场进行求解,利用提取出的井中二次场异常电位差进行反演,得出极化球体的球心离井的距离和球心的埋深。通过计算机进行正反演模拟,验证了进行正反演计算的解析式的正确性,并从物理意义上对正反演过程中出现的现象进行分析。最后给出该方法的适用条件以及注意事项。研究对激发极化法地下勘探目标的定量分析具有明确意义。     

高精度煤炭三维地震勘探技术

介绍了中国煤炭地震勘探技术的现状及所面临的问题,分析了煤炭三维地震勘探技术今后应努力研究和须重点关注的几个问题,如频率的问题,小面元高密度采集问题,加强叠前研究工作问题,及单点地震技术应用问题,从而实现高精度勘探的目的,满足煤矿生产、建设、安全等日益增长的需要。     

辽宁东五家子金矿矿脉含矿性评价标志研究

辽宁东五家子金矿的矿脉由蚀变岩和石英脉透镜体构成,可采矿体均为硫化物石英脉型.工业矿脉中,石英为烟灰色,发育他形、半自形的细粒黄铁矿等硫化物,有较大规模的矿体.矿化脉中,石英为乳白色,发育粗粒、自形的浅色黄铁矿,无可采矿体.在工业矿脉、次要矿脉、矿化脉的蚀变岩和石英脉样品中,Au,Hg与其他元素的相关性有明显区别.用石英脉样品的As-Ni-Ba图解和蚀变岩样品的Au-Ag-Ba图解预测,矿区外围的西沟1号脉和西沟3号脉属于工业矿脉.     

川西南周公山及邻区下二叠统碳酸盐岩成岩作用对储集性的影响

川西南周公山及邻区下二叠统的中-低孔、中-低渗碳酸盐岩储层的储集空间以次生成因的溶孔、溶洞和构造裂缝为主.研究认为,多世代方解石胶结、化学充填作用以及埋藏期的压实(溶)作用是孔隙很难得到保存的主要原因;同生-准同生期的混合水云化作用和表生期、埋藏期的流体溶蚀作用则产生了大量的次生溶孔、洞,使储层的孔渗性得到明显的改善;构造破裂作用可以产生新的储集空间,还影响各储集体之间及单一储集体内部空隙的连通.成岩相分为混合水云化-溶蚀-破裂相、溶蚀-胶结相和胶结-压实-压溶相.各种成岩作用的叠加形成了现今下二叠统油气储层的分布格局.     

相控建模技术在羊二庄油田的应用

羊二庄油田的明馆储层非均质性严重,高含水、高开发后期的剩余油分布比较复杂,第一次油藏描述中应用传统的确定性建模方法已经不能满足剩余油挖潜的需要.采用RMS相控建模软件,通过构造建模、沉积微相建模、储层物性建模,建立羊二庄油田三维可视化相控地质模型,并实现了与数模软件的无缝接口.     

基于光谱和纹理的SVM矿化蚀变信息提取研究

针对传统矿化信息提取方法单一,利用光谱或纹理、信息量相对较少、需要大量样本的缺陷,利用基于光谱和纹理的支持向量机(SVM)原理,建立矿化信息提取模型.选择青海泽库县析界日地区作为典型研究区.首先提取研究区光谱和纹理信息,选取训练样本;然后求解最优超平面,进而确定决策函数;最后泛化推广识别其他待识别的样本.通过所提取的遥感蚀变异常信息与重砂异常点叠加分析,叠加基本吻合;从野外实地验证来看,均发现了不同程度的矿化现象,并指出了5个重点异常区.     

Accuracy assessment of lidar-derived digital elevation models

Despite the relatively high cost of airborne lidar-derived digital elevation models (DEMs), such products are usually presented without a satisfactory associated estimate of accuracy. For the most part, DEM accuracy estimates are typically provided by comparing lidar heights against a finite sample of check point coordinates from an independent source of higher accuracy, supposing a normal distribution of the derived height differences or errors. This paper proposes a new methodology to assess the vertical accuracy of lidar DEMs using confidence intervals constructed from a finite sample of errors computed at check points. A non-parametric approach has been tested where no particular error distribution is assumed, making the proposed methodology especially applicable to non-normal error distributions of the type usually found in DEMs derived from lidar. The performance of the proposed model was experimentally validated using Monte Carlo simulation on 18 vertical error data-sets. Fifteen of these data-sets were computed from original lidar data provided by the International Society for Photogrammetry and Remote Sensing Working Group III/3, using their respective filtered reference data as ground truth. The three remaining data-sets were provided by the Natural Environment Research Council's Airborne Research and Survey Facility lidar system, together with check points acquired using high precision kinematic GPS. The results proved promising, the proposed models reproducing the statistical behaviour of vertical errors of lidar using a favourable number of check points, even in the cases of data-sets with non-normally distributed residuals. This research can therefore be considered as a potentially important step towards improving the quality control of lidar-derived DEMs.     

遥感技术在地质找矿中的应用及发展前景

遥感技术作为矿产勘查的一种手段应用于找矿,并取得了一定成就.遥感技术的直接应用是蚀变遥感信息的提取,遥感技术的间接应用包括地质构造信息、植被的光谱特征及矿床改造信息等方面.遥感找矿具有很大的发展前景的领域主要有:高光谱数据、数据融合技术、3S的紧密结合、计算机技术的发展.     

Estimating Influence of Crystallizing Latent Heat on Cooling-Crystallizing Process of a Granitic Melt and Its Geological Implications

Based on the theory of thermal conductivity, in this paper we derived a formula to estimate the prolongation period （AtL） of cooling-crystallization process of a granitic melt caused by latent heat of crystallization as follows：△tL=QL×△tcol/（TM-TC）×CP where TM is initial temperature of the granite melt, Tc crystallization temperature of the granite melt, Cp specific heat, △tcol cooling period of a granite melt from its initial temperature （TM） to its crystallization temperature （Tc）, QL latent heat of the granite melt.
The cooling period of the melt for the Fanshan granodiorite from its initial temperature （900℃） to crystallization temperature （600℃） could be estimated -210,000 years if latent heat was not considered. Calculation for the Fanshan melt using the above formula yields a AtL value of -190,000 years, which implies that the actual cooling period within the temperature range of 900°-600℃ should be 400,000 years. This demonstrates that the latent heat produced from crystallization of the granitic melt is a key factor influencing the cooling-crystallization process of a granitic melt, prolongating the period of crystallization and resulting in the large emplacement-crystallization time difference （ECTD） in granite batholith.