贵州松桃大屋锰矿床主要地质特征与找矿预测

松桃大屋锰矿是贵州省地矿局103地质队于上世纪70年代勘查评价的中型锰矿床。锰矿产于南华系大塘坡组第一段黑色岩系底部,矿体呈层状、似层状产出,矿层走向北东约70°,矿体平均厚1. 42 m,平均品位18. 85%。矿区从北西向南东,含锰岩系、锰矿体从无到有。大屋锰矿床只保留了古天然气渗漏沉积成矿系统中的过渡相和边缘相,中心相应在齐公坡一带,但已被剥蚀殆尽。通过构造古地理恢复分析,推测南华纪大屋地堑盆地长大于14 km、宽约4 km,沿北东70°方向展布。预测盆地北东柳树塘、大坳至孟溪一带还具有发现中-大型规模锰矿床的潜力。     

贵州松桃高地特大型富锰矿床主要地质特征

位于贵州铜仁松桃国家锰矿整装勘查区内的高地富锰矿床,(332)+(333)类碳酸锰富锰矿石资源量达7 166. 84万吨,锰平均品位25. 75%,矿体平均厚度4. 52 m,富锰矿体赋存于总资源量达1. 61亿吨的高地超大型锰矿床之中,由一个单一的富锰矿体构成,是我国新发现的首个特大型富锰矿床,富锰矿资源量相当于我国富锰矿资源量总和的2倍。成因类型属古天然气渗漏沉积型锰矿床,富锰矿产于古天然气渗漏沉积成矿系统中心相区。高地富锰矿床地处独特的"新月形"南华纪早期李家湾-高地-道坨(Ⅳ级)地堑盆地中心,菱锰矿体中均出现以块状构造夹被沥青充填的气泡状富菱锰矿石。地表燕山期北北东向的断裂构造十分发育,但主要为上陡下缓犁式正断层,未触及高地深部隐伏巨型锰矿体,以致富锰矿体保存亦十分完整,易于开发利用。     

桂东南永安岩体锆石U-Pb测年、Hf同位素特征及其地质意义

永安岩体位于钦杭结合带南部,属桂东南十万大山-大容山复式岩体的一部分,其岩石类型为斑状堇青黑云花岗闪长岩。对永安岩体斑状堇青黑云花岗闪长岩进行了LA-ICPMS锆石U-Pb测年,获得其年龄为252. 8±3. 3Ma,为晚二叠世花岗岩。对永安岩体花岗岩进行的全岩地球化学分析结果表明,岩石富Al、高K,铝饱和指数A/CNK均大于1. 1,标准矿物分子刚玉均大于1%;岩石富集轻稀土元素,亏损重稀土元素,轻重稀土元素分馏明显,稀土元素的球粒陨石标准化配分曲线为轻稀土元素富集的右倾型,具弱负铕异常;岩石富集大离子亲石元素(Rb、Ba、K、Sr),亏损高场强元素(Nb、P、Ti、Ta)和Ba、Sr。花岗岩的锆石εHf(t)=-14～-8,tDM2=2. 3～1. 8 Ga。通过本文工作,结合前人关于永安岩体矿物学、全岩地球化学、Hf同位素和锆石微量元素的分析资料,认为永安岩体岩石为强过铝质S型壳源花岗岩,地幔组分没有提供成岩物质,但地幔底侵作用为成岩提供了热能,花岗岩形成于后碰撞阶段的拉张环境中。     

油铀兼探的找矿思路在松辽盆地的应用——以中央拗陷区南部为例

以"油铀兼探"的找矿思路,带动松辽盆地中南部开展砂岩型铀矿调查选区及钻探验证工作.将异常强度250 API和450 API确定为划分潜在铀矿孔、潜在铀矿化孔和正常孔的关键技术指标,对中央拗陷区南部1572个钻孔进行异常筛查工作.排查发现潜在铀矿孔362个,潜在铀矿化孔223个.对191号钻孔和36号钻孔进行钻探验证,发现1个工业孔、1个异常孔.认为区内寻找砂岩型铀矿的有利地段为油田区反转构造形成的隆起区边部四方台组河流相砂体,并总结了中央拗陷区南部6种主要控矿因素.     

Hybrid Gaussian-cubic radial basis functions for scattered data interpolation

Scattered data interpolation schemes using kriging and radial basis functions (RBFs) have the advantage of being meshless and dimensional independent; however, for the datasets having insufficient observations, RBFs have the advantage over geostatistical methods as the latter requires variogram study and statistical expertise. Moreover, RBFs can be used for scattered data interpolation with very good convergence, which makes them desirable for shape function interpolation in meshless methods for numerical solution of partial differential equations. For interpolation of large datasets, however, RBFs in their usual form, lead to solving an ill-conditioned system of equations, for which, a small error in the data can cause a significantly large error in the interpolated solution. In order to reduce this limitation, we propose a hybrid kernel by using the conventional Gaussian and a shape parameter independent cubic kernel. Global particle swarm optimization method has been used to analyze the optimal values of the shape parameter as well as the weight coefficients controlling the Gaussian and the cubic part in the hybridization. Through a series of numerical tests, we demonstrate that such hybridization stabilizes the interpolation scheme by yielding a far superior implementation compared to those obtained by using only the Gaussian or cubic kernels. The proposed kernel maintains the accuracy and stability at small shape parameter as well as relatively large degrees of freedom, which exhibit its potential for scattered data interpolation and intrigues its application in global as well as local meshless methods for numerical solution of PDEs.     

Influence of physico-mechanical properties of Indian dimension stones on cutting rate of diamond wire saw

Cutting performance of diamond wire saw is a key factor influencing mine planning, production scheduling, and equipment selection for dimension stone quarries. It is normally measured in terms of cutting rate. Rock samples collected from various granite and marble quarries in India were tested in laboratory to determine their physico-mechanical properties. Cutting rate of diamond wire saw was measured in the field studies during the actual cutting process in quarries. Using these laboratory determined properties and the cutting rate, a multiple linear regression model has been developed to predict the cutting rate of diamond wire saw. Physico-mechanical properties of rocks determined in laboratory are used as independent variables and cutting rate as predictor variable in the regression model. The study indicates that the cutting rate increases with a decrease in most of the hardness and strength parameters of rock. The final model is tested for its goodness of fit indicating a significant linear relation between cutting rate and physico-mechanical properties, namely tensile strength, slake durability index, and Cerchar hardness index with regression coefficient of 94%. The resulting model can be used suitably for different types of hard to medium hard and soft dimension stones. The generalized model for estimating the cutting rate becomes a handy tool for mining engineers to work out operating efficiency, expenses, planning etc. of the dimension stone block cutting.     

Geochemical Characterization and Controlling Factors of Chemical Composition of Spring Water in a Part of Eastern Himalaya

This paper focuses on the suitability of spring water for drinking and irrigation purposes in a part of eastern Himalaya, south Sikkim. There are many anthropogenic and geogenic factors contributing as a source of major cations and anions in the spring water. The spring water chemistry show a variation in EC, pH, TDS, Temperature, Na⁺, K⁺, Mg²⁺, Ca²⁺, Fe²⁺, Pb, Mn, Cu, HCO₃^-, Cl^-, PO₄^3-, NO₃^-, F^- and SO₄^2-. Mainly two types of water quality indexing has been used, one for suitability of spring water for drinking purposes and the other for irrigation purposes. For drinking purposes, Piper diagram used for determination of water type, water quality index (WQI) for quality monitoring and saturation index for mineral dissolution in water. % Na, RSC (Residual Sodium Carbon) and SAR (sodium absorption ratio) have been used for irrigation suitability. Piper diagram shows that CaHCO₃ type of water was dominant in the study area. The WQI depicted excellent category and SAR, percent sodium and RSC (Residual Sodium Carbon) depict excellent, good and permissible category for irrigation purposes. Principle component analysis (PCA) was used to determine the major influencing factor responsible for the variability in the parameters analysed of spring water.     

安徽茶亭铜金矿床赋矿石英闪长玢岩黑云母成分特征及成岩成矿指示意义

安徽宣城茶亭矿床位于长江中下游成矿带东南缘的南陵-宣城盆地内,是近年来该盆地内新发现的大型斑岩型Cu-Au矿床。石英闪长玢岩是茶亭矿床主要的赋矿岩石,文章从石英闪长玢岩的造岩矿物黑云母入手,利用EMPA及LA-ICP-MS等原位微区分析方法,对黑云母进行了详细的矿物化学分析,旨在查明赋矿石英闪长玢岩形成的物理化学条件,并探讨其成岩成矿意义。分析结果表明:茶亭赋矿石英闪长玢岩中黑云母具有高w(TiO_2)、低w(Al_2O_3)的特征,整体富Mg、贫Fe。黑云母温压计算结果表明,在不同深度上,石英闪长玢岩具有相似的结晶温度及压力,其结晶温度为746～773℃,压力为44～85 MPa,对应深度为1.7～3.3 km,平均为2.47 km,显示石英闪长玢岩侵位深度相对较浅。黑云母中高的氧化系数(0.613～0.864)、高Mg#(0.557～0.864),以及w(MgO)介于14.73%～15.86%,均显示石英闪长玢岩为壳幔混源,并且以幔源为主。黑云母成分显示石英闪长玢岩形成于较高氧逸度条件下。浅部岩体具有较高的X_(Mg)值,表明浅部岩体氧逸度较高,可能指示随着岩浆的不断演化,残余岩浆的氧逸度不断降低。同时,石英闪长玢岩黑云母相对一般斑岩型铜矿具有较高的w(Cu),并且高Cl、低F。这些特征均有利于茶亭Cu-Au矿床的形成。     

河南崤山金矿床流体包裹体及同位素特征

崤山金矿床位于华北克拉通南缘的豫西地区,矿体大多呈脉状产于断裂带内。成矿期可以划分为3个阶段:(1)石英-黄铁矿阶段;(2)石英-多金属硫化物阶段;(3)石英-碳酸盐阶段。成矿期石英中发育气液两相水溶液包裹体(WL型)和H_2O-CO_2包裹体(C型)。石英-黄铁矿阶段发育WL型和C型包裹体,它们的均一温度为300~393℃,盐度w(NaCl_(eq))为1.6%~11.0%,密度介于0.57~0.82 g/cm~3;石英-多金属硫化物阶段亦发育WL型和C型包裹体,它们的均一温度为261~298℃,盐度w(NaCl_(eq))为1.1%~11.8%,密度介于0.74~0.89 g/cm~3;石英-碳酸盐阶段仅见WL型包裹体,其均一温度为193~258℃,盐度w(NaCl_(eq))介于2.2%~12.7%,密度为0.87~0.97g/cm~3。成矿流体具有中高温、中低盐度、低密度等特征,属于H_2O-NaCl±CO_2体系。崤山金矿石英的δ~(18)OH_2O值介于0.7‰~4.5‰之间,δDV-SMOW值介于-47.8‰~-69.5‰之间。H-O同位素结果表明成矿流体主要来源于岩浆水。矿石硫化物的δ_(34)SV-CDT值为0.7‰~3.9‰,206Pb/204Pb值为17.391~17.728,~(207)Pb/~(204)Pb值为15.420~15.577,~(207)Pb/~(204)Pb值为37.420~37.923。S-Pb同位素结果表明成矿物质主要来源于花岗质岩浆。崤山金矿为中温热液脉型金矿,流体相分离和温度的降低是导致矿质沉淀的主要机制。     

黔东松桃地区燕山期构造特征研究——以高地超大型锰矿床为例

黔东松桃地区构造格局主要是受到燕山运动影响形成。燕山早期,区内处于SEE—NWW向区域挤压收缩,形成了NNE—SSW向褶皱和断裂。下寒武统杷榔组—变马冲组地层和南华系下统大塘坡组地层作为两套滑脱层,在构造变形过程中起到滑脱作用,滑脱层内褶皱变形强烈,以大量紧闭、顶厚不协调褶皱为主要构造样式,而其上、下岩层则以断块或宽缓褶皱变形为主,以软弱层为界面,其上、下岩层发生逆冲滑脱作用,形成了区内隔槽式褶皱的构造样式。燕山晚期,区内处于NNE—SSW挤压为主,形成了区内NWW向小型褶皱和断裂,同时燕山晚期构造横跨叠加在早期变形之上,导致早期NNE向褶皱枢纽呈波状起伏,轴迹弯曲,部分地区形成了构造穹窿和构造盆地,部分早期断层呈左行走滑性质。在燕山早、晚两期构造作用下,高地矿区含锰岩系作为软弱滑脱层,向猴子坳向斜的核部进行滑脱聚集,使其在向斜的核部富集,翼部相对减薄。同时,由于犁式正断层的存在,也影响了锰矿层的保存与破坏。