综合物探法在砂岩型铀矿中深部找矿中的实践与分析——以新疆昭苏盆地为例

为了探查新疆昭苏盆地砂岩型铀矿的异常信息,选择可控源音频大地电磁测量、高精度磁测和土壤氡气测量三种物探方法,并简要介绍各方法的工作原理。通过分析昭苏盆地的地质特征、物性特征和本区的找矿难点,对昭苏盆地综合物探数据所蕴含的信息进行地质-物探综合解译。实践证明:可控源音频大地电磁测量对低阻和高阻体均有良好的电性响应,可以划分地层、推断断裂构造;高精度磁测可以推断氧化还原界面,辅助解释断裂构造;土壤氡气测量可辅助解释断裂构造,对地下铀矿体有指示作用,三种方法的技术特性相互补充,提高了物探解释的准确性。突破了伊犁盆地以往600 m的找矿深度,并以电性稳定的中阻厚层、磁测异常、氡异常偏高晕和峰-谷状曲线作为预测标志,解决了深埋藏条件下赋矿地质体的圈定难点,在昭苏盆地砂岩型铀矿中、深部找矿工作中取得了良好的效果。     

Brittleness index predictions from Lower Barnett Shale well-log data applying an optimized data matching algorithm at various sampling densities

The capability of accurately predicting mineralogical brittleness index(BI)from basic suites of well logs is desir-able as it provides a useful indicator of the fracability of tight formations.Measuring mineralogical components in rocks is expensive and time consuming.However,the basic well log curves are not well correlated with BI so correlation-based,machine-learning methods are not able to derive highly accurate BI predictions using such data.A correlation-free,optimized data-matching algorithm is configured to predict BI on a supervised basis from well log and core data available from two published wells in the Lower Barnett Shale Formation(Texas).This transparent open box(TOB)algorithm matches data records by calculating the sum of squared errors be-tween their variables and selecting the best matches as those with the minimum squared errors.It then applies optimizers to adjust weights applied to individual variable errors to minimize the root mean square error(RMSE)between calculated and predicted(BI).The prediction accuracy achieved by TOB using just five well logs(Gr,pb,Ns,Rs,Dt)to predict BI is dependent on the density of data records sampled.At a sampling density of about one sample per 0.5 ft BI is predicted with RMSE～0.056 and R2～0.790.At a sampling density of about one sample per 0.1 ft BI is predicted with RMSE～0.008 and R2～0.995.Adding a stratigraphic height index as an additional(sixth)input variable method improves BI prediction accuracy to RMSE～0.003 and R2～0.999 for the two wells with only 1 record in 10,000 yielding a BI prediction error of＞±0.1.The model has the potential to be applied in an unsupervised basis to predict BI from basic well log data in surrounding wells lacking mineralogical measure-ments but with similar lithofacies and burial histories.The method could also be extended to predict elastic rock properties in and seismic attributes from wells and seismic data to improve the precision of brittleness index and fracability mapping spatially.     

无人机载线阵摆扫CCD影像几何校正

针对无人机载线阵CCD传感器摆扫成像的技术特点,利用GPS/INS组合导航系统提供的导航遥测数据,对无人机载的线阵摆扫CCD影像建立了严格的成像模型,并设计了详细的几何校正流程。实验结果证实采用文中的成像模型和几何校正流程,可获得正确、高精度地理编码的线阵摆扫CCD正射影像。     

基于特征点匹配及提纯的点云配准算法

针对传统的基于ICP点云配准算法配准时间长、收敛慢、需要较好初始配准等限制,本文利用现有的点云特征提取算法和描述算法,提取并匹配点云中的特征点,用RANSAC算法结合坐标转换模型剔除误匹配点对,用匹配点对在两点云中的坐标计算之间的坐标转换参数,从而实现点云的配准。相比ICP类算法,提高了点云配准的效率,同时提高了点云配准的自动化程度。     

Gold and Platinum-Group Element Analysis of Geochemical and Platinum Reference Materials Using Fluoroxidation Decomposition

A novel method is described for the rapid dissolution of various geological, geochemical and related reference samples for the determination of Au and the platinum-group elements. The decomposition procedure is based on reaction with the fluoroxidants, liquid bromine trifluoride or molten potassium tetrafluorobromate. Results by this novel procedure are compared with data obtained by traditional methods of sample decomposition, including fire assay, autoclave techniques and an aqua regia leach. The oxidative fluorination procedure with the subsequent conversion of fluorocomplexes into the chloride form was found to be an effective and rapid method for the quantification of all the precious metals in a range of sample types.     

安山岩中黄铜矿矿石分析和制硫酸铜工艺的研究

安山岩中的黄铜矿是庐江中生代陆相火山热液型铜矿床的原生矿，矿石中主要伴生黄铁矿及少量斑铜矿、赤铁矿和褐铁矿。物相分析结果，黄铜矿的粒度很细，只有细磨才能单体解离；它在矿石中分布极不均匀，且与脉石矿物接触疏松，适于粗磨抛尾。物性分析结果，黄铜矿在４００～５３０℃、斑铜矿在４５０～６００℃、黄铁矿在５００～６８０℃氧化分解。实验研究表明，矿石经磨碎磁选，大部分的粗粒级的铁矿物能够回收；粗磨抛尾可获得铜、硫的粗精矿；然后再经硫酸化焙烧、酸浸、过滤、提纯、浓缩结晶可制得工业级硫酸铜。浸渣做炼铁原料，黄钾铁矾做Ｆｅ２Ｏ３颜料，有时还可回收金、银。     

山水林田湖草系统治理之水土保持要义

山水林田湖草是一个生命共同体,山水林田湖草的系统治理观是水土流失治理与生态修复的重要指导思想.水土流失的发生、发展和变化是一个复杂的系统,有其自身规律,水土保持是一门多学科交叉学科,有其科学性与不可替代性,防治水土流失应坚持系统思维,整体施策,系统和综合是水土保持学科建立和事业发展的生命力所在.水土流失在中国广泛分布并...     

热解硫酸钡制备硫同位素分析试样二氧化硫

改进了硫同位素分析中由ＢａＳＯ４制备ＳＯ２的方法：ＢａＳＯ４和Ｖ２Ｏ５及ＳｉＯ２混合后覆盖铜丝,在真空状态９８０℃加热２０ｍｉｎ,用液氮捕集ＳＯ２。与火焰直接加热分解法相比,用高温炉方便,改善了制样环境,避免污染。经国际标样和国家标准物质分析验证,结果与标准值相符,标准偏差（１σ）在±００９‰～±０２０‰,符合分析要求。     

熔融制样-X射线荧光光谱法测定电气石中12种主次量元素

电气石是一类含硼的铝硅酸盐矿物,化学成分复杂、化学稳定性强,不易湿法分解,B_2O_3含量较高,导致其主次量元素的同时测定存在一定困难。本文采用熔融法制样,建立了X射线荧光光谱法测定电气石Na_2O、MgO、Al_2O_3、SiO_2、P_2O_5、K_2O、CaO、TiO_2、V_2O_5、Cr_2O_3、MnO、TFe_2O_3等主次量元素的分析方法。样品与四硼酸锂-偏硼酸锂-氟化锂(质量比为4.5∶1∶0.4)混合熔剂的稀释比例为1∶10,消除了粒度效应和矿物效应;在缺少电气石标准物质的情况下,选择土壤、水系沉积物及多种类型的地质标准物质绘制校准曲线,利用含量与电气石类似的标准物质验证准确度,测定结果的相对标准偏差小于4.2%。采用所建方法测定四种不同类型电气石实际样品,测定值与经典化学法基本吻合。本方法解决了电气石不易湿法分解和硼的干扰问题,测定结果准确可靠,与其他方法相比操作简便,分析周期短。     

钾-氩和氩-氩定年样品的送样要求及预处理

介绍了K-Ar和Ar-Ar法定年样品的送样要求及实验室预处理程序，样品粒度以250～180μm为宜；用量则视样品的K含量和年龄情况而定，K含量越高、年龄越老，所需样品量越少，多数样品的用量在几十至几百毫克；对于年龄情况不清楚的样品，10～20g手标本或者1～2g合适粒度的样品可以保证用量。全岩样品常受蚀变和捕虏晶的影响，有效的预处理可以在很大程度上消除这些干扰因素。文章还介绍了用稀HNO3消除碳酸盐、1．7mol／L HF消除轻微蚀变的影响以及电磁选剔除捕虏晶的实验过程。