首编大别造山带侵入岩地质图(1∶50万)及其说明

湖北蕲春烈马咀钼矿位于大别山南坡,已探明的大型钼矿鲜有报道,对该矿区的深入研究甚少,缺少对成岩成矿时代、成因和构造背景的准确厘定。对烈马咀钼矿及与成矿有关的花岗岩进行了岩相学、岩石地球化学研究和Re−Os同位素测年。结果表明：与成矿有关的岩石为斑状二长花岗岩或二长花岗斑岩,矿区成矿规模小,矿石为浸染状或细脉浸染状展布;辉钼矿等时线年龄为119±8 Ma,年龄加权平均值为118.9±0.98 Ma,指示烈马咀钼矿为早白垩世热液产物;岩石地球化学数据表明其为高硅、高钾钙碱性系列A型花岗岩;稀土元素的总含量高,轻稀土元素含量相对富集,重稀土元素含量相对亏损。烈马咀钼矿区与成矿有关的岩石形成于大别造山带伸展环境,与燕山晚期岩石圈减薄有关。

     

河北宽城蛇纹石玉的宝石矿物学特征研究

河北宽城蛇纹石玉结构细腻,颜色可呈肉红色、绿色,当地市场称之为\"热河玉\"。本文通过常规宝石学测试结合激光拉曼光谱、电子探针、X射线粉晶衍射、激光剥蚀等离子质谱以及可见光吸收光谱等手段对其进行了系统分析,并采用伽玛能谱仪对其放射安全性进行了检测。结果表明,肉红色样品折射率及相对密度值均较低,折射率为1.54~1.55,相对密度为2.33~2.43,主要组成矿物为斜纤蛇纹石,主要具纤维交织结构、纤维柱粒交织结构,局部可见变余生物骨架结构,次要矿物有方解石和透辉石,Fe和Mn元素含量相对较高,Fe元素含量范围在184.9×10^-6~951.7×10^-6,Mn元素含量为106.4×10^-6~287.3×10^-6;绿色样品折射率为1.55~1.56,相对密度为2.58~2.62,主要组成矿物为叶蛇纹石,具更加细腻的纤维交织结构,次要矿物为滑石及四方硫铁矿,Fe元素含量极高,可达5 979×10^-6~6 359×10^-6。结合可见光吸收光谱分析结果认为Fe³⁺、Fe²⁺以及Mn³⁺的综合作用是导致样品呈现肉红色的主要原因,而Fe²⁺和Fe³⁺则是导致绿色的主要原因。放射性检测结果显示样品的内、外照射指数及放射性比活度值均低于标准要求,对人体无放射性危害。     

准噶尔盆地玛湖凹陷风城组页岩油储层岩相划分与类型评价

准噶尔盆地玛湖凹陷风城组页岩油藏是继吉木萨尔凹陷芦草沟组页岩油藏之后的又一重大发现,风城组沉积期玛湖凹陷具有近陆源供给、火山活动频发、气候干旱炎热的特点,为独具特色的盐碱化湖泊沉积环境创造了条件,也是风城组岩性复杂多变的重要原因。火山岩、内源岩、陆源碎屑岩以及多源混积岩纵向频繁叠置,形成米级到厘米级页岩油储层。结合岩性变化特征,以构造样式作为突破口,厘米级尺度岩心观察为基础,高频沉积构造分析为辅助,利用亚离子抛光电镜、能谱测试、荧光分析等多种技术手段对准噶尔盆地玛湖凹陷风城组页岩油储层进行岩性岩相分析,认为玛湖凹陷风城组页岩油储层可划分为4大类（砂砾岩类、火山岩类、混积岩类与内源岩类）、8小类储层。4大类储层储集性能逐渐减弱,其中混积岩类储层因其构造与成分差异可进一步划分为混积页岩、纹层–似纹层状混积泥岩、树根状–网状混积泥岩、雪花–星点状混积泥岩;页理发育情况、云质含量以及其产出样式成为混积岩类储层储集物性差异的重要控制因素。     

Ce片滤过在基于光子计数X射线骨密度测量中的优势

K边缘滤过常用于双能X射线骨密度的测量中,但它与不加K边缘滤过时的多能谱光子计数探测器在骨密度测量中的应用还需要进一步的对比、研究。本文选择利用稀土材料铈（Ce）的K边特性,对广谱X射线进行能谱优化,从而获得双能谱,并针对此种情况下的双能谱提出了一种对应的能量-阈值校准方法,希望一定程度上提高骨密度仪中物质分解的准确度。本文对未加Ce时的三能分解、双能分解与加了Ce片后的双能分解做了对比实验。实验结果显示,在未加Ce片滤过时,三能分解精度比双能分解精度高;经过Ce片滤过后,双能分解精度优于所有未加Ce片滤过时的分解精度。     

A neural network approach to ship track-keeping control

This paper presents an on-line trained neural net work controller for ship track-keeping problems. Following a brief review of the ship track-keeping control development since the 1980's, an analysis of various existing backpropagation-based neural controllers is provided. We then propose a single-input multioutput (SIMO) neural control strategy for situations where the exact mathematical dynamics of the ship are not available. The aim of this study is to build an autonomous neural controller which uses rudder to regulate both the tracking error and heading error. During the whole control process, the proposed SIMO neural controller adapts itself on-line from a direct evaluation of the control accuracy, and hence the need for a “teacher” or an off-line training process can be removed. With a relatively modest amount of quantitative knowledge of the ship behavior, the design philosophy enables real time control of a nonlinear ship model under random wind disturbances and measurement noise. Three different track-keeping tasks have been simulated to demonstrate the effectiveness of the training method and the robust performance of the proposed neural control strategy     

Petrology and geochemistry of mafic dykes of Sylhet traps,Northeastern India,and their Kerguelen plume linkage

Mineralogy and Petrology - We present here a new set of mineralogical and geochemical data from a cluster of east southeast-trending mafic dykes that intrude a lava flow of Sylhet traps. These...     

Higher order corrections to dust-acoustic ZK-solitons in a magnetized quantum dusty plasma

Nonlinear propagation of two dimensional dust-acoustic solitary waves in a magnetized quantum dusty plasma whose constituents are electrons, ions, and negatively charged heavy dust particles are investigated using quantum hydrodynamic model. The Zakharov-Kuznetsov (ZK) equation is derived by using reductive perturbation technique (RPT). The higher order inhomogeneous ZK-type differential equation is obtained for the correction to ZK- soliton. The dynamical equation for dressed soliton is solved by using renormalization method. The effects of obliqueness (l _x ) of the wave vector, magnetic field strength (B ₀), quantum parameter for ions (H _i ), soliton velocity (θ) and Fermi temperature ratio (σ) on amplitudes and widths of the ZK-soliton and as well as of the dressed soliton are investigated. The conditions for the validity of the higher order correction are described. Suitable parameter ranges for the existence of compressive and rarefactive dressed solitons are also discussed.     

Enforcing smoothness and assessing uncertainty in non-linear one-dimensional prestack seismic inversion

Estimation of elastic properties of rock formations from surface seismic amplitude measurements remains a subject of interest for the exploration and development of hydrocarbon reservoirs. This paper develops a global inversion technique to estimate and appraise 1D distributions of compressional‐wave velocity, shear‐wave velocity and bulk density, from normal‐moveout‐corrected PP prestack surface seismic amplitude measurements. Specific objectives are: (a) to evaluate the efficiency of the minimization algorithm (b) to appraise the impact of various data misfit functions, and (c) to assess the effect of the degree and type of smoothness criterion enforced by the inversion. Numerical experiments show that very fast simulated annealing is the most efficient minimization technique among alternative approaches considered for global inversion. It is also found that an adequate choice of data misfit function is necessary for a reliable and efficient match of noisy and sparse seismic amplitude measurements. Several procedures are considered to enforce smoothness of the estimated 1D distributions of elastic parameters, including predefined quadratic measures of length, flatness and roughness. Based on the general analysis of global inversion techniques, we introduce a new stochastic inversion algorithm that initializes the search for the minimum with constrained random distributions of elastic parameters and enforces predefined autocorrelation functions (semivariograms). This strategy readily lends itself to the assessment of model uncertainty. The new global inversion algorithm is successfully tested on noisy synthetic amplitude data. Moreover, we present a feasibility analysis of the resolution and uncertainty of prestack seismic amplitude data to infer 1D distributions of elastic parameters measured with wireline logs in the deepwater Gulf of Mexico. The new global inversion algorithm is computationally more efficient than the alternative global inversion procedures considered here.