金矿测年方法讨论及定年中存在的问题

准确的成岩成矿年代测定是矿床研究和对比的基础。然而近几年来 ,不同的研究者对同一矿床采用不同的定年方法得出了相差十分悬殊的成岩成矿年龄的报道屡见不鲜。为此笔者在分析了不同定年方法适用性的同时 ,强调了在金矿定年中要加强对金矿成岩成矿地质背景的研究 ,重视不同地质体与成矿的先后关系 ,确定标志性地质体 ,选择合适的定年方法 ,测定标志性地质体和矿体的成岩成矿年代 ,使成岩成矿年代互为限定 ,得到高质量的年代学数据。     

高密度电法勘探在岩溶查找中的应用

介绍了武汉市汤逊湖污水处理厂厂址的地质概况和地球物理特征，以及高密度电法勘探的施工方案，分析了视电阻率异常特征，并说明了其异常验证情况。高密度电法勘探结果表明该区存在溶洞，为施工提供了决策依据，建议在有溶洞的地段采取相应措施，以防止工程建设后发生地质灾害。     

地浸砂岩型铀矿床微磁异常研究及其找矿意义

通过认真研究中国新疆某盆地410，411和412三个已知地浸砂岩型铀矿床的航磁资料，发现这些矿床上方均存在航磁微磁异常。根据地浸砂岩型铀矿的成矿地球化学机制，对航磁微磁异常的形成机理作了进一步探讨，结合试验区的实际预测成果指出，与氧化一还原过渡带有关的地浸砂岩型铀矿床上方存在微磁异常，高精度航磁完全能探测得到它。航磁微磁异常是此类矿床的特征异常之一，对此类铀矿床具有直接的指示意义，可以作为一种直接标志信息运用于前期成矿预测。     

小浪底工程岩体力学参数研究

本文系统研究了小浪底工程的岩体的强度特征,采用了室内试验,野外结构面统计,工程地质类比法、模型试验法和Hoek Brown的经验法,估算了工程岩体的力学指标,指出了上述各种方法中所存在的不足,认为在工程实践中,应尽可能使用多种估计方法,交叉校核所得参数,以提高参数的可靠性,保证工程的安全,节约投资。     

青藏高原1∶25万区域地质调查地貌年代学研究

高原隆升及剥蚀作用的复杂性与区域差异性以及高原恶劣的气候、地理条件,使得在青藏高原空白区1∶25万区域地质调查中进行地貌年代学研究具有很大的现实意义.由于地貌是高原隆升、环境演化、新构造运动等的信息载体,地貌年代有助于重塑这些地质作用的发生时间及发展过程,因此地貌年代学研究具有重要的技术意义.1∶25万银石山幅的工作表明,地貌年代学调查对高原隆升及环境演化过程研究具有良好效果.     

Origin and tectonic significance of a Mesozoic multi-layer over-thrust system within the Yangtze Block (South China)

In the Yangtze Block (South China), a well-developed Mesozoic thrust system extends through the Xuefeng and Wuling mountains in the southeast to the Sichuan basin in the northwest. The system comprises both thin- and thick-skinned thrust units separated by a boundary detachment fault, the Dayin fault. To the northwest, the thin-skinned belt is characterized by either chevron anticlines and box synclines to the northwest or chevron synclines to the southeast. The former structural style displays narrow exposures for the cores of anticlines and wider exposures for the cores of synclines. Thrust detachments occur along Silurian (Fs) and Lower Cambrian (Fc) strata and are dominantly associated with the anticlines. To the southeast, this style of deformation passes gradually into one characterized by chevron synclines with associated principal detachment faults along Silurian (Fs), Cambrian (Fc) and Lower Sinian (Fz) strata. There are, however, numerous secondary back thrusts. Therefore, the thin-skinned belt is like the Valley and Ridge Province of the North American Applachian Mountains. The thick-skinned belt structurally overlies the thin-skinned belt and is characterized by a number of klippen including the Xuefeng and Wuling nappes. It is thus comparable to the Blue Ridge Province of Appalachia.The structural pattern of this thrust system in South China can be explained by a model involving detachment faulting along various stratigraphic layers at different stages of its evolution. The system was developed through a northwest stepwise progression of deformation with the earliest delamination along Lower Sinian strata (Fz). Analyses of balanced geological cross-sections yield about 18.1–21% (total 88 km) shortening for the thin-skinned unit and at least this amount of shortening for the thick-skinned unit. The compressional deformation from southeast to northwest during Late Jurassic to Cretaceous time occurred after the westward progressive collision of the Yangtze Block with the North China Block and suggests that the orogenic event was intracontinental in nature.     

新疆西达里亚T-II油藏储层三维建模研究

在新疆西达里亚T-Ⅱ油气藏的储层表征研究中,首先进行了地质及测井解释,在此基础上应用地质统计学方法进行了三维储层地质建模,建模过程中采用先建立砂层格架,再建立属性参数的“两步建模”研究思路,理论上减少了砂体与属性参数的解释矛盾与误差,提高了属性模型精确度.通过实际生产动态对属性模型进行检验,证明建模结果是正确的.     

Theoretical Study on Stochastic Modeling of Combined Gravity-Magnetic-Electric-Seismic Inversion and Its Application

As gravity field,magnetic field,electric field and seismic wave field are all physical fields,their object function,reverse function and compound function are certainly infinite contiuously differentiable func-tions which can be expanded into Taylor (Fourier) series within domain of definition and be further reduced in-to solving stochastic distribution function of series and statistic inference of optimal approximation,This is the basis of combined gravity-magnetic-electric-seismic inversion built on the basis of separation of field and source gravity-magnetic difference-value(D-value)trend surface,taking distribution-independent fault sys-tem as its unit,depths of seismic and electric interfaces of interests as its corresponding bivariate compound re-verse function of gravity-magnetic anomalies and using high order polynomial(high order trigonometric func-tion)approximating to its series distribution,The difference from current dominant inversion techniques is that,first,it does not respectively create gravity-seismic,magnetic-seismic deterministic inversion model from theoretical model,but combines gravity-magnetic-electric-seismic stochastic inversion model from stochastic model;second,after the concept of equivalent geological body being introduced,using feature of independent variable of gravity-magnetic field functions,taking density and susceptibility related to gravity-magnetic func-tion as default parameters of model,the deterministic model is established owing to better solution to the con-tradictioc of difficulty in identifying strata and less test analytical data for density and susceptibility in newly explored area;third,under assumption of independent parent distribution,a real modeling by strata,the prob-lem of difficult plane closure arising in profile modeling is avoided,This technology has richer and more detailed fault and strata information than sparse pattern seismic data in newly explored area,successfully inverses and plots structural map of Indosinian discontinuty in Hefei basin with combined gravity-magnetic-electric-seismic inversion,With development of high precision gravity-magnetic and overall geophysical technology,it is certain for introducing new methods of stochastic modeling and computational intelligence and promoting the develop-ment of combined gravity-magnetic-electric-seismic inversion to open a new substantial and promoting the develop-ment of combined gravity-magnetic-electric-seismic inversion to open a new substantial path.     

Spatial Database Management System of China Geological Survey Extent

The spatial database management system of China geological survey extent is a social service system. Its aim is to help the government and the whole social public to expediently use the spatial database, such as querying, indexing, mapping and product outputting. The management system has been developed based on MAPGIS6. x SDK and Visual C , considering the spatial database contents and structure and the requirements of users. This paper introduces the software structure, the data flow chart and some key techniques of software development.     

Development of Geological Data Warehouse

Data warehouse (DW), a new technology invented in 1990s, is more useful for integrating and analyzing massive data than traditional database. Its application in geology field can be divided into 3 phrases: 1992-1996, commercial data warehouse (CDW) appeared; 1996-1999, geological data warehouse (GDW) appeared and the geologists or geographers realized the importance of DW and began the studies on it, but the practical DW still followed the framework of DB; 2000 to present, geological data warehouse grows, and the theory of geo-spatial data warehouse (GSDW) has been developed but the research in geological area is still deficient except that in geography. Although some developments of GDW have been made, its core still follows the CDW-organizing data by time and brings about 3 problems: difficult to integrate the geological data, for the data feature more space than time; hard to store the massive data in fifferent levels due to the same reason; hardly support the spatial analysis if the data are organized by time as CDW does. So the GDW should be redesigned by organizing data by scale in order to store mass data in different levels and synthesize the data in different granularities, and choosing space control points to replace the former time control points so as to integrate different types of data by the method of storing one type data as one layer and then to superpose the layers. In addition, data cube, a wide used technology in CDW, will be no use in GDW, for the causality among the geological data is not so obvious as commercial data, as the data are the mixed result of many complex rules, and their analysis needs the special geological methods and software; on the other hand, data cube for mass and complex geo-data will devour too much store space to be practical. On this point, the main purpose of GDW may be fit for data integration unlike CDW for data analysis.