"长江三峡水库诱发地震监测研究"项目成果介绍

本文详细介绍了“长江三峡水库诱发地震监测研究”项目的立项背景、目标、所开展的主要工作、取得的成果、研究成果的社会效益和对该领域研究未来工作的展望。     

基于实测光谱估测密云水库水体叶绿素a浓度

水中叶绿素a浓度是衡量水体初级生产力和富营养化程度的最基本的指标。利用野外便携式地物光谱仪对密云水库水体进行反射光谱测量并同步采集水样。通过分析叶绿素a浓度与光谱反射特征的相关关系,建立了叶绿素a反演模型。结果表明,利用单波段光谱反射率、光谱比值指数或微分光谱比值能够可靠反演叶绿素a浓度;但微分光谱与叶绿素a浓度相关性更高,更适用于密云水库水体叶绿素a浓度的高光谱反演。     

浅析坝下游黄土-砂卵砾石二元结构岸坡失稳机理

新疆伊犁河流域水库大坝下游岸坡常具黄土-砂卵砾石二元结构地层组合,成为水库渗漏潜在隐伏结构.随着伊犁河流域水利水电工程建设开发力度的加大,该地层组合中显现出的渗漏和岸坡稳定性等工程地质问题也逐渐增多,有必要对该方面进行研究和总结.本文以斯木塔斯水电站、巴喀勒克水库为例,对其坝下游岸坡稳定性开展运行期的地质调查,并结合研...     

EFFECTS OF WATERSHED RECLAMATION ON INFLOW AND SEDIMENT LOAD IN THE FENHE RESERVOIR

１ＩＮＴＲＯＤＵＣＴＩＯＮＴｈｅＦｅｎｈｅＲｅｓｅｒｖｏｉｒｗａｓｉｍｐｏｕｎｄｅｄｉｎ１９６１ｗｉｔｈｔｏｔａｌｓｔｏｒａｇｅｃａｐａｃｉｔｙｏｆ７２０ｍｉｌｉｏｎｍ３．ＩｔｉｓｔｈｅｌａｒｇｅｓｔｒｅｓｅｒｖｏｉｒｉｎＳｈａｎｘｉＰｒｏｖｉｎｃｅ...     

水库渔业营养类型划分标准研究──1.指标层次的确定

依据１９８０－１９９２年全国２０个省５５座水库渔业资源调查数据,运用Ｒ型聚类分析和主成分分析方法对４８项指标间的层次性进行分析,水库渔业营养类型划分标准的指标层次体系可确定为：第一大层次（水库形态与自然环境）包括地理,气候,水深,面积和体积．土壤．水文等６个小层次;第二大层次（水的理化性质）包括主要离子,磷素,有机物,溶解气体,氮素等５个小层次;第三大层次（生物学）包括浮游植物,浮游动物,初级生产力,鲢鳙生长等４个小层次．     

吐哈盆地台北凹陷储集层岩石学特征

根据岩石铸体薄片和扫描电镜观察资料,分析了吐哈盆地台北凹陷中侏罗统储集层的岩性特征。七克台组中上部储集层以岩屑砂岩为主,属于第一岩性段．七克台组下部一西山窑组储集层以长石岩屑砂岩为主,属于第二岩性段．砂岩的岩性特征对储集层的物理性质具有明显的影响作用。     

水库移民中安置性移民与开发性移民的比较研究

建国以来, 中国水库移民安置经历了一个从安置性移民向开发性移民转变的过程。分析比较研究两类移民的本质差别, 有助于认识和掌握社会主义市场经济条件下开发性移民的基本规律性。遵循规律, 探讨问题, 促进开发性移民健康发展。     

储集层构造裂缝定量预测方法研究

选用裂缝体积密度作为构造裂缝定量化参数,对基于钻井岩心的裂缝体积密度的计算方法作了改进。统计分析得出,破裂试件裂缝体积密度与试件破裂应变能密度的关系受试件所受的围压变化及试件物性的控制,钻井岩心构造裂缝体积密度与数值模拟应变能密度的关系同试件研究结果有可比之处。在上述研究基础上,建立了利用钻井岩心裂缝参数和数值模拟应变能密度来定量预测碳酸盐岩储层构造裂缝体积密度的方法,并已应用于油田生     

Correlation between rock fabrics and physical properties of carbonate reservoir rocks

 Three carbonate core samples from an oil and gas reservoir of the NW German basin were chosen to study the correlation between rock fabrics and physical properties of reservoir rocks. Detailed fabric analyses and texture investigations were carried out as well as laboratory measurements of different physical properties, e.g. density, porosity, permeability, electrical conductivity, seismic compressional and shear wave velocities. Although the three core samples come from a similar depositional facies, they show great differences in the occurrence and three-dimensional distribution of the rock fabric elements. These heterogeneities are the result of various diagenetic and tectonic processes. For the correlation between the rock fabrics and the physical properties four main rock fabric types have to be considered: (a) major constituents, e.g. fossils, ooides, peloides and crystals; (b) pore space with different pore types; (c) fractures; and (d) stylolites. The results of the correlation clearly show that the values and anisotropies of the petrophysical properties are fairly related to the observed fabric elements, with their different arrangements, spatial distributions and preferred orientations. These results also provide a fundamental understanding of the petrophysical responses, such as seismics, to the different geological features (e.g. fractures) and their dynamic changes with pressure, which can be converted to different depths. The knowledge gained from such correlations may lead to an improved interpretation of geophysical data for hydrocarbon exploration and production and therefore to an advanced reservoir characterization. Received: 28 January 1999 / Accepted: 21 June 1999     

A study of natural and artificially generated light hydrocarbons (C4–C13) in source rocks and petroleum fluids from offshore Mid-Norway and the southernmost Norwegian and Danish sectors

The “free” or “natural” light hydrocarbon composition obtained by thermal extraction-GC of source rock samples is compared with the light fraction generated by pyrolysis products of the kerogens. Even though there are large differences between the composition of the “free” C₄–C₁₃ hydrocarbon fraction and the same fraction generated by pyrolysis, some characteristics have been detected which can be used interchangeably for both data types. Visual inspection of gas chromatograms from thermal extracts and pyrolysates indicates that in particular the relative content of m+p xylene corresponds well between these two analytical methods. The source rock samples used are Upper Jurassic marine shales and Middle and Lower Jurassic coals and coaly shales from offshore Mid-Norway and Denmark. More detailed analysis of the data shows that the most effective parameter which can distinguish between different source rock types in both thermal extracts and pyrolysates is the m+p xylene/nC₈ ratio. This parameter has been used to derive classification diagrams for interpreting the source of light hydrocarbons of both natural petroleum fluids analysed by gas chromatography and the same fraction generated by pyrolysis of asphaltenes from the fluids.The model was first tested on 17 natural petroleum fluids from Mid-Norway since a comprehensive study of light hydrocarbon distributions already has been published. Further, the parameter was applied to correlate with asphaltene pyrolysates of the fluids from Mid-Norway and a total of 22 natural oils and condensates from the southernmost Norwegian and Danish sectors.