湖南耒阳东山下锰矿地质特征及找矿前景分析

东山下锰矿是舂陵水两岸风化淋滤型氧化锰矿的典型矿床之一,二叠系孤峰组硅质岩是锰矿的赋存层位,SN向挤压破碎带是矿区的导矿和容矿构造,矿区的地层、岩性、含锰建造、地质构造、气候和地貌等条件均对成矿十分有利,分析研究此类矿床成因进而寻找类似锰矿床对缺锰地区具重要意义.     

内蒙古河套地区土壤环境质量评价

土壤污染已成为抑制农业可持续发展的一个重要因素,土壤环境质量与研究区的地质条件、自然物理化学条件和人类活动有关。以河套地区多目标区域地球化学调查取得的表层土壤元素资料为依据,参照《土壤环境质量标准》(GB15618—1995)中As、Cd、Cr、Cu、Hg、Ni、Pb、Zn分级标准,对研究区土壤的单元素环境质量进行分级并评价。以单元素土壤环境质量分级为基础,以单元素中最差的级别作为该单元土壤环境质量综合分级,评价研究区的土壤综合环境质量。通过单元素评价及综合评价认为,研究区内土壤环境质量总体状况优良,大部分地区为绿色、无公害的环境。     

东天山尖山铜矿床地质特征及成矿规律

尖山铜矿位于塔里木板块觉罗塔格晚古生代沟弧带南缘,赋矿地层为下石炭统白鱼山组,含矿岩性为安山质凝灰岩.矿体受康古尔塔格深大断裂之分支断裂苦水大断裂形成的低序次层间断裂破碎带控制,矿体形态为细长脉状.近矿围岩蚀变主要为绿帘石化、绿泥石化、阳起石化、黄铁矿化及绢云母化等,成因类型为中-低温热液石英脉型.     

云南中甸普朗、红卓斑岩铜矿床地质特征及找矿前景

通过对印支期普朗、红卓岛弧型斑岩铜矿矿床地质特征和找矿标志的总结,论述了铜矿的找矿前景以及工作方向。     

湖南姑婆山锡矿田地质特征及找矿前景

姑婆山锡矿田原生锡矿床的成因类型有构造蚀变带型、构造蚀变岩一矽卡岩复合型和接触带矽卡岩型3种。通过对各类锡矿成矿地质条件、控矿因素和成矿规律的分析与总结，认为岩浆岩是控制各类型锡矿形成和分布的首要条件，区域性NE至SN向断裂(F1、F2)为导矿、控矿构造，其旁侧的次级断裂及岩体与地层的接触带为容矿构造；提出矿田西部和北部具有良好的找矿前景。     

贵州省罗甸透闪石矿床地质特征及找矿预测

罗甸透闪石矿床属燕山期岩浆热液矿床,成矿作用为接触交代;侵入岩体为辉绿岩,属偏碱性基性幔源浅成岩,岩体呈似层状顺层侵入于二叠系中统栖霞组（P2q）与茅口组（P2m）接触面之间;围岩蚀变有透闪石化和大理岩化,由岩体向外依次分为大理岩化带→透闪石化带;软玉矿体赋存于外接触带茅口组一侧,顺层产出;含矿带厚10～30余米,其中夹矿体十余层,矿体形态以似层状为主,次为透镜状,厚0.05～0.3 m。在1000 km2范围内发现5个辉绿岩体露头,呈带状出露,长3～35 km,显示有矿化,具有较好的找矿远景。     

与斑岩型铜矿有关的角砾岩(筒)

斑岩型铜矿床是重要的铜矿类型，在已探明的铜储量中斑岩型铜矿居首位。研究认为，在板块构造的敛合带上，斑岩铜矿发育地区，常见有角砾状地质体和角砾岩筒。这些角砾状地质体和角砾岩筒对矿化与謇集起着重要作用，是斑岩铜矿的重要找矿标志，有时其本身就是铜矿体。本文中从理论与野外工作相结合的角度，总结了与斑岩型铜矿床有关的角砾状地质体和角砾岩筒的类型及地质特征，通过具体实例介绍了与斑岩铜矿有关的角砾岩筒的找矿思路与方法，适宜野外工作的实际应用。     

利用地震属性预测煤层厚度及古河流冲刷带的方法

根据山西宁武煤田某煤矿2#煤层采掘及钻孔揭露情况,发现该井田中部和南部存在古河流冲刷带。通过对比基于优选的4个地震属性的四元一次、四元二次多项式回归模型与BP神经网络预测模型,决定将BP人工神经网络模型预测煤层厚度数据应用于整个测区古河流冲刷带的预判工作。首先利用GeoFrame系统和Landmark公司Poststack模块,提取2#煤层反射波的各类沿层切片,分析并圈定出2#煤层古河流冲刷带的大致范围,在此基础上,利用垂直时间剖面中2#煤层反射波的各种波形特征,进一步判别2#煤层古河流冲刷带解释的可靠性,然后结合BP神经网络预测模型获得的2#煤层厚度变化趋势图,最终解释出2#煤层古河流冲刷带范围:勘探区内2#煤层厚度变化范围0～5.3m,根据其煤层厚度变化趋势,将全区划分出一大二小3个古河流冲刷带。     

新疆巴州且末县、若羌县南部山区地质矿产特征及找矿靶区选择

新一轮国土资源大调查工作开展以来,东昆仑地区新发现了一系列矿床和找矿新线索,特别是白干湖钨锡矿床、肯德可克钴金铋多金属矿床和骆驼沟大型钴金矿床的发现,成为东昆仑地区地质找矿方面新的重大突破,同时,还发现了具大型远景规模的大场蚀变岩型金矿床,使得东昆仑地区成为我国又一重要的铜钴金多金属成矿带,已成为我国重点支持的铜钴金多金属矿产勘查地区之一。结合且末县、若羌县南部山区地质矿产特征、化探异常及区域内矿床实例,为新疆紫金地质勘查院2010年优选找矿靶区,指导登记探矿权。     

Integration of ASTER and landsat TM remote sensing data for chromite prospecting and lithological mapping in Neyriz ophiolite zone,south Iran

Chromite deposits in Iran are located in the ophiolite complexes, which have mostly podiform types and irregular in their settings. Exploration for podiform chromite deposits associated with ophiolite complexes has been a challenge for the prospectors due to tectonic disturbance and their distribution patterns. Most of Iranian ophiolitic zones are located in mountainous and inaccessible regions. Remote sensing approach could be applicable tool for choromite prospecting in Iranian ophiolitic zones with intensely rugged topography, where systematic sampling and conventional geological mapping are limited. In this study, Landsat Thematic Mapper (TM) and Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) satellite data were used for chromite prospecting and lithological mapping in the Neyriz ophiolitic zone in the south of Iran. Image transformation techniques, namely decorrelation stretch, band ratio and principal component analysis (PCA) were applied to Landsat TM and ASTER data sets for lithological mapping at regional scale. The RGB decorrelated image of Landsat TM spectral bands 7, 5, and 4, and the principal components PC1, PC2 and PC3 image of ASTER SWIR spectral bands efficiently showed the occurrence of major lithological units in the study area at regional scale. The band ratios of 5/3, 5/1, 7/5 applied on ASTER VNIR‐SWIR bands were very useful for discriminating most of rock units in the study area and delineation of the transition zone and mantle harzburgite in the Neyriz ophiolitic complex. Spectral Angle Mapper (SAM) technique was implemented to ASTER VNIR‐SWIR spectral bands for detecting minerals of rock units and especially delineation of the transition zone and mantle harzburgite as potential zones with high chromite mineralization in the Neyriz ophiolitic complex. The integration of information extracted from the image processing algorithms used in this study mapped most of lithological units of the Neyriz ophiolitic complex and identified potential areas of high chromite mineralization (transition zone and mantle harzburgite) for chromite prospecting targets in the future. Furthermore, image processing results were verified by comprehensive fieldwork and laboratory analysis in the study area. Accordingly, result of this investigation indicate that the integration of information extracted from the image processing algorithms using Landsat TM and ASTER data sets could be broadly applicable tool for chromite prospecting and lithological mapping in mountainous and inaccessible regions such Iranian ophiolitic zones.