大比例尺高精度航空磁测在黄骅坳陷区油气勘探中的应用

位于渤海之滨的黄骅坳陷盆地是我国重要的油气产区之一。随着勘探程度的不断深入,关于中一基性火山岩的控油问题已经引起石油地质工作者的高度重视。新近在黄骅坳陷中部地区完成的大比例尺高精度航磁测量成果,又清晰反映出与油气关系密切的隐伏火山岩形态及其不同的分布特点。在孔家庄—徐家堡一线以北火山岩异常以二度及似二度异常为主,表明火山岩沿断裂呈带状分布,南部则以等轴状异常为主,它们主要为火山岩锥引起,揭示出区内的地质构造特征存在着明显差异。这些成果将对该区油气资源评价及勘探具有重要意义。     

论煤炭产业的可持续发展

通过分析当前煤炭产业开发利用煤炭资源的现状,阐述了如何利用"科学发展观"指导和解决煤炭资源开发利用及煤炭产业发展过程中存在的问题,保障煤炭经济的可持续发展,促进社会经济的稳定发展.     

小直径灌注桩旋挖成孔工艺

由于旋挖钻机结构的特殊性,不便用于小直径钻孔灌注桩。设计了一套解决问题的新技术---小直径灌注桩旋挖成孔工法。此项新技术包含了自行设计的XFK600防扩钻头、特别的工艺参数、双护筒保浆技术等。试验研究成功后,已广泛应用于多个重大工程项目。介绍了该技术的创新内容、关键技术及其试验应用效果。     

河南鲁山地区太华杂岩LA-ICP-MS锆石U-Pb年代学及其地质意义

华北克拉通是我国最大且最古老的克拉通,是研究太古宙岩浆活动和构造演化的理想区域,一直备受地质学家的关注。太华杂岩是华北克拉通的重要组成部分,主要分布在其南缘,总体呈近北西西-南东东向分布。在详细野外地质调查的基础上,对鲁山地区太华杂岩中的斜长角闪岩样品进行了LA-ICP-MS锆石U-Pb定年,以揭示其成岩及变质事件时代。样品的锆石U-Pb加权平均207Pb/206Pb年龄为2 788±16、2 714±12和1 920±18 Ma,分别代表斜长角闪岩成岩年龄、早期变质事件年龄及晚期变质事件年龄。综合梳理前人的锆石U-Pb年代学及Hf同位素研究数据,分析并讨论了3次地质事件的地质意义:2 850~2 700 Ma为一期重要的岩浆事件,代表了太古宙新生地壳的形成;2 800~2 600和~1 900 Ma为两期变质事件,期间太华杂岩分别遭受新太古代和古元古代两次变质变形改造。本次研究不仅可以解释太华杂岩的形成、变质时代及其地质意义,而且为进一步研究华北克拉通南缘乃至整个华北克拉通的形成与演化过程提供了新的数据资料。     

发展公共气象服务需要建立政策保障

结合浙江省公共气象服务发展的实践,从当前服务型政府建设的要求和经济社会发展的需求出发,简要分析了加快制定和明晰公共气象服务政策的重要意义,初步讨论了公共气象服务发展中需要重点关注的公共气象服务政策性问题。     

基于HYCOM的海洋环流仿真建模研究

HYCOM海洋模式是垂向混合坐标模式的代表。基于HYCOM海洋模式,采用三层嵌套技术对东海南部海域的海洋环流进行仿真建模研究。通过对仿真结果的验证表明,HYCOM模式的垂向混合坐标方案能够很好的模拟地形复杂海域的环流。     

Marsh-Schulkin与Rogers模型比对分析

基于实测传播损失数据对比分析Marsh-Schulkin和Rogers经验传播损失模型。通过讨论东海声学调查具体的海洋环境,较详细地标定了两模型对应的声学参数,并融入模型,结合实测数据进行对比验证,得出关于两模型在东海适应性的如下结论:两模型预报结果与实测数据吻合较好,且两者预报曲线大致相同;其中MarshSchulkin模型预报曲线斜率略大于Rogers模型,预报差异随距离增大有所增加;各频率预报曲线存在交点,交点左侧Rogers模型更接近实测数据,右侧Marsh-Schulkin更为准确。     

Magmatic-Hydrothermal Superlarge Metallogenic Systems A Case Study of the Nannihu Ore Field

Located in the Qinling (秦玲) molybdenum metallogenic belt on the southern margin of North China craton, the Nannihu (南泥湖) molybdenum (-tungsten) ore field, consisting of the Nannihu, Sandaozhuang (三道幢), and Shangfang (上房) deposits, represents a superlarge skarn-porphyry molybdenum (-tungsten) accumulation. Outside the ore field, there are some hydrothermal lead-zinc-silver deposits found in recent years, for example, the Lengshuibeigou (冷水北沟), Ylndonggou (银洞沟), Yangshuwa (杨树凹), and Yinhegou (银河沟) deposits. Ore-forming fluid geochemistry indicates that these deposits belong to the same metallogenie system. The hydrothermal solutions were mainly derived from primary magmatic water in the early stage and from the mixture of the primary magmatic water and meteoric water in the later stage, with an obvious decreasing tendency in temperature, salinity and gas-liquid ratio of fluid inclusions. Sulfur and lead isotope data show that the ore-forming substances and related porphyries were mainly derived from the lower crust, and a hidden magmatic chamber is indicated by aeromagnetle anomaly and drill hole data indicate that the Nannihu granite body extends to being larger and larger with depth increasing. The large-scale mineralization was the consequence of lithospheric extension during the late stage of the tectonic regime when the main compressional stress changed from NS-trending to-EW trending.     

Identification of Geochemical Anomaly by Multifractal Analysis

The separation of anomalies from geochemical background is an important part of data analysis because lack of such identifications might have profound influence on or even distort the final analysis results. In this article, 1 672 geochemical analytical data of 11 elements, including Cu, Mo, Ag, Sn, and others, from a region within Tibet, South China, are used as one example. Together with the traditional anomaly recognition method of using the iterative mean ±2σ, local multifractality theory has been utilized to delineate the ranges of geochemical anomalies of the elements. To different degrees, on the basis of original data mapping, C-A fractal analysis and singularity exponents, Sn differs from the other 10 elements. Moreover, geochemical mapping results based on values of the multifractal asymmetry index for all elements delineate the highly anomalous area. Similar to other 10 elements, the anomalous areas of Sn delineated by the asymmetry index distribute along the main structure orientations. According to the asymmetry indexes, the 11 elements could be classified into 3 groups: (1) Ag and Au, (2) As-Sb-Cu-Pb-Zn-Mo, and (3) Sn-Bi-W.This paragenetic association of elements can be used to interpret possible origins of mineralization, which is in agreement with petrological analysis and field survey results.