GEOCHEMICAL EXPLORATION

正20142366Bi Yuanqing(Institute of Geophysical and Geochemical Survey Technology of Anhui Province,Hefei 230022,China);Fang Junhua Analysis of Ore-Prospecting Potential in the Taojiaxiang Mining Site,Zongyang County(Geology of Anhui,ISSN1005-6157,CN34-1111/P,23(4),2013,p.256-260,5illus.,10refs.)     

Site characterization model using least‐square support vector machine and relevance vector machine based on corrected SPT data (Nc)

Statistical learning algorithms provide a viable framework for geotechnical engineering modeling. This paper describes two statistical learning algorithms applied for site characterization modeling based on standard penetration test (SPT) data. More than 2700 field SPT values (N) have been collected from 766 boreholes spread over an area of 220 sqkm area in Bangalore. To get N corrected value (N_c), N values have been corrected (N_c) for different parameters such as overburden stress, size of borehole, type of sampler, length of connecting rod, etc. In three‐dimensional site characterization model, the function N_c=N_c (X, Y, Z), where X, Y and Z are the coordinates of a point corresponding to N_c value, is to be approximated in which N_c value at any half‐space point in Bangalore can be determined. The first algorithm uses least‐square support vector machine (LSSVM), which is related to a ridge regression type of support vector machine. The second algorithm uses relevance vector machine (RVM), which combines the strengths of kernel‐based methods and Bayesian theory to establish the relationships between a set of input vectors and a desired output. The paper also presents the comparative study between the developed LSSVM and RVM model for site characterization. Copyright © 2009 John Wiley & Sons, Ltd.     

Recent advances in (soil moisture) triple collocation analysis

To date, triple collocation (TC) analysis is one of the most important methods for the global-scale evaluation of remotely sensed soil moisture data sets. In this study we review existing implementations of soil moisture TC analysis as well as investigations of the assumptions underlying the method. Different notations that are used to formulate the TC problem are shown to be mathematically identical. While many studies have investigated issues related to possible violations of the underlying assumptions, only few TC modifications have been proposed to mitigate the impact of these violations. Moreover, assumptions, which are often understood as a limitation that is unique to TC analysis are shown to be common also to other conventional performance metrics. Noteworthy advances in TC analysis have been made in the way error estimates are being presented by moving from the investigation of absolute error variance estimates to the investigation of signal-to-noise ratio (SNR) metrics. Here we review existing error presentations and propose the combined investigation of the SNR (expressed in logarithmic units), the unscaled error variances, and the soil moisture sensitivities of the data sets as an optimal strategy for the evaluation of remotely-sensed soil moisture data sets.     

Laboratory Simulation of the Formation Process of Surface Geochemical Anomalies Applied to Hydrocarbon Exploration

The formation mechanisms and processes of geochemical anomalies used as proxies in surface geochemistry exploration (SGE) have not been well understood. Previous studies cannot realize 3D measurement of microseeping hydrocarbons from reservoirs to the surface, which made it difficult to understand the features and pathways of deep hydrocarbon microseepages. Understanding the processes of hydrocarbon microseepages will contribute to the acceptance and effectiveness of surface geochemistry. Based on a simplified geological model of hydrocarbon microseepages, including hydrocarbon reservoir, direct caprock, overlying strata and Quaternary sediments, this work established a 3D experimental system to simulate the mechanisms and processes of deep hydrocarbon microseepes extending to the surface. The dispersive halos of microseeping hydrocarbons in the subsurface were adequately described by using this 3D experimental system. Results indicate that different migration patterns of hydrocarbons above the point gas source within the simulated caprock and overlying strata can be reflected by the ratio of i-butane to n-butane (i-C4/n-C4), which follow diffusion and infiltration (buoyancy) mechanisms. This is not the case for vertical measurement lines far from the point gas source. A vertical gas flow in the form of a plume was found during hydrocarbon microseepage. For sampling methods, the high-density grid sampling is favorable for delineating prospecting targets. Hydrocarbon infiltration or buoyancy flow occurs in the zones of infiltration clusters, coupling with a diffusion mechanism at the top of the water table and forming surface geochemical anomalies. These results are significant in understanding hydrocarbon microseepage and interpreting SGE data.     

阿根廷米纳毕戈塔地区水系沉积物采样粒度试验研究

中国地质调查局与阿根廷地质矿产调查局合作在阿根廷西北部米纳毕戈塔地区进行1︰25万水系沉积物测量,该区属于干旱-半干旱高寒山区,为突出找矿效果,消除或减少风积物干扰,需要确定适合于该区的水系沉积物采样粒度。为此,在该区选择一个有已知矿床的1︰5万图幅进行采样粒度试验,分别选择10~60目、-60目、60~80目、-80目4个粒度级进行粒度试验;根据我国区域地球化学勘查规范,每个粒度分析39种元素。结果表明,大部分元素在4种粒度水系沉积物中的分布形态基本一致,都能够较好地反映出区内已知矿床,说明采用的采样方法可以有效地避免风成砂干扰;金、银、铜、锡等成矿元素在4种粒度中的分布略有差异,10~60目的金、铜和锡异常对已知矿体的反应更清晰准确。因此,本区水系沉积物地球化学测量的最佳采样粒度是10~60目。根据本次试验结果,中-阿地调局在本区联合开展1︰25万水系沉积物地球化学测量时采用了10~60目水系沉积物作为采样介质,取得了很好的效果。这是本区第一次进行水系沉积粒度试验,对本区将来的地球化学调查和研究具有指导意义。     

缅甸达贡山蛇绿岩体的地球化学特征及其成矿意义

缅甸达贡山蛇绿岩体是达贡―密支那缝合带的重要组成部分,受控于板块碰撞结合带。该岩体主要由蛇纹石化橄榄岩、斜方辉石橄榄岩等组成。变质橄榄岩具有低的A12O3和CaO含量,以富Mg、贫Ti、HREE为特征,显示一种残留地幔岩的稀土元素地球化学特征,与世界上典型蛇绿岩体中方辉橄榄岩的特征值一致。经估算,达贡山蛇纹岩原岩是原始地幔经过9%~14%部分熔融的地幔残留,初步研究认为,达贡山蛇纹岩原岩是洋内俯冲初始阶段上涌软流圈地幔部分熔融的地幔残留,受类SSZ型熔体交代作用而仍然富集轻稀土元素(LREE)及U、Nb,属类SSZ型地幔橄榄岩;达贡山蛇绿岩体可能形成于俯冲带(SSZ)环境。岩体的m/f平均值8.026.5,利于铬铁矿的成矿。     

综合物化探方法在铁及多金属矿勘查中的应用——以包恩亨地区为例

研究区位于内蒙古包恩亨一带,地表覆盖较厚,找矿标志不明显,综合物化探方法对发现和圈定铁及多金属异常起到了重要作用,取得了显著成果。总结异常区的地质、地球物理和地球化学特征,对处于同一成矿远景区的其他地段寻找该类型矿床,具有十分重要的意义,为寻找隐伏矿床提供了依据。     

河南萑香洼金矿地球化学分带模型研究

河南萑香洼金矿床作为典型的构造蚀变岩型金矿床,通过研究分析该矿床F985矿化带的Ⅰ号矿体各类元素组分在不同地质体的含量变化特征,原生晕异常分带特征和地球化学轴向分带特征,建立了该矿床完整的地球化学异常分带理想模型,得出矿床地球化学异常轴向分带序列确定为:烃类、Sb(前缘晕)→As、Hg(矿头)→(矿中晕)Au、Ag、Cu、Pb、Zn、W、Mn→(矿尾晕)Mo、Co、Ni、Sn,并总结出了找矿预测标志,为该矿区深部找矿提供了一定的科学理论依据。     

西藏浪卡子也金嘎波金矿地球化学异常特征及勘查标志

也金嘎波金矿位于冈底斯成矿带上。该矿是在区域化探发现Au、As、Ag等多元素组合异常的基础上,通过矿点检查、异常查证和地质普查等工作新发现的、具较大规模的热液型金矿床。Au元素为区域、矿区成矿指示元素,伴生元素有W、As、Sb、Ag、Bi、Pb、Hg、Mo等。金矿体受构造—岩浆岩带控制,围岩蚀变主要为硅化、绢云母化、碳酸盐化、高岭土化。该金矿床的发现对在高寒山区应用地球化学方法寻找新的金矿具有指导意义。     

东昆北成矿带冰沟南铜镍矿辉长岩地球化学特征

通过对东昆北成矿带冰沟南铜镍矿辉长岩的全岩地球化学进行分析,以确定该岩体的岩石成因及其形成的构造环境。冰沟南辉长岩SiO_2的含量为49.72%~51.58%,岩石系列为钙碱性。稀土元素球粒陨石分配模式为轻稀土略富集型,δEu为1.26~1.54,轻微正Eu异常。岩石富集大离子亲石元素(LILE)Rb、Ba、K,相对亏损P。岩体中的La/Sm、Th/La和Nb/U比值显示在就位过程中经历了一定程度的地壳混染。研究认为,岩体的岩浆源区为亏损地幔。结合区域演化,认为岩体形成于碰撞后伸展的背景。