饱和岩石的各向异性及非线性黏弹性响应

在MTS伺服压机上对不同饱和状态的砂岩、大理岩标本进行了垂直层理和平行层理两个方向的正弦波加载试验,研究了饱和岩石的各向异性及非线性黏弹性行为. 在最大载荷低于岩石的屈服点时,获得的衰减、杨氏模量、泊松比、波速都表现出显著的各向异性,同时它们还具有较明显的应变振幅效应和频率效应. 随着应变振幅的增大,衰减近似呈线性增长,杨氏模量和泊松比近似呈线性下降. 在0.005-4Hz频段内除衰减不明显依赖频率以外,杨氏模量、泊松比、波速对频率的依赖性都较强; 当频段扩大到15Hz时,这4个参数都表现出较强的频率效应. 饱和岩石的衰减、杨氏模量、泊松比、波速均随饱和液体的黏滞系数增大而增大.     

岩石圈流变机制的确定及影响岩石圈流变强度的因素

讨论了确定岩石圈流变强度中存在的问题，根据Byerlee定律，给出了在Anderson断层系统下三种断层的摩擦滑动强度公式，利用小标本实验结果外推，用大标本实验结果作约束，得到岩石圈几种典型岩石的脆性破裂规律，利用上述结果和传统的方法，分别得到了鄂尔多斯和山西裂谷两个典型地区的流变强度随深度的变化。结果表明，以往的计算对岩石圈流变强度的估计过高，对脆性形变区估计不足，流变机制估计不对；岩石圈有力学分层的特性，但各地分层的深度范围不同，使得成层和力学作用变得复杂，讨论了水、应变率以及多相矿物对流变强度的影响。     

多矿物岩石流变规律的研究进展及存在问题

总结了近年来由多种矿物组成的岩石的流变规律的研究，阐述了多矿物岩石流变性质研究的意义和进展，再从实验和理论两个方面，详细论述了目前最具代表性的三种理论模型，算术平均方法、几何平均方法和能量极小方法，最后，指出这方面研究仍然存在的问题和进一步研究的方向。     

Use of Noise to Augment Training Data: A Neural Network Method of Mineral–Potential Mapping in Regions of Limited Known Deposit Examples

One of the main factors that affects the performance of MLP neural networks trained using the backpropagation algorithm in mineral-potential mapping isthe paucity of deposit relative to barren training patterns. To overcome this problem, random noise is added to the original training patterns in order to create additional synthetic deposit training data. Experiments on the effect of the number of deposits available for training in the Kalgoorlie Terrane orogenic gold province show that both the classification performance of a trained network and the quality of the resultant prospectivity map increasesignificantly with increased numbers of deposit patterns. Experiments are conducted to determine the optimum amount of noise using both uniform and normally distributed random noise. Through the addition of noise to the original deposit training data, the number of deposit training patterns is increased from approximately 50 to 1000. The percentage of correct classifications significantly improves for the independent test set as well as for deposit patterns in the test set. For example, using ±40% uniform random noise, the test-set classification performance increases from 67.9% and 68.0% to 72.8% and 77.1% (for test-set overall and test-set deposit patterns, respectively). Indices for the quality of the resultant prospectivity map, (i.e. D/A, D × (D/A), where D is the percentage of deposits and A is the percentage of the total area for the highest prospectivity map-class, and area under an ROC curve) also increase from 8.2, 105, 0.79 to 17.9, 226, 0.87, respectively. Increasing the size of the training-stop data set results in a further increase in classification performance to 73.5%, 77.4%, 14.7, 296, 0.87 for test-set overall and test-set deposit patterns, D/A, D × (D/A), and area under the ROC curve, respectively.     

Use of Fuzzy Membership Input Layers to Combine Subjective Geological Knowledge and Empirical Data in a Neural Network Method for Mineral-Potential Mapping

Use of GIS layers, in which the cell values represent fuzzy membership variables, is an effective method of combining subjective geological knowledge with empirical data in a neural network approach to mineral-prospectivity mapping. In this study, multilayer perceptron (MLP), neural networks are used to combine up to 17 regional exploration variables to predict the potential for orogenic gold deposits in the form of prospectivity maps in the Archean Kalgoorlie Terrane of Western Australia. Two types of fuzzy membership layers are used. In the first type of layer, the statistical relationships between known gold deposits and variables in the GIS thematic layer are used to determine fuzzy membership values. For example, GIS layers depicting solid geology and rock-type combinations of categorical data at the nearest lithological boundary for each cell are converted to fuzzy membership layers representing favorable lithologies and favorable lithological boundaries, respectively. This type of fuzzy-membership input is a useful alternative to the 1-of-N coding used for categorical inputs, particularly if there are a large number of classes. Rheological contrast at lithological boundaries is modeled using a second type of fuzzy membership layer, in which the assignment of fuzzy membership value, although based on geological field data, is subjective. The methods used here could be applied to a large range of subjective data (e.g., favorability of tectonic environment, host stratigraphy, or reactivation along major faults) currently used in regional exploration programs, but which normally would not be included as inputs in an empirical neural network approach.     

长江中下游晚中生代中基性岩的铅同位素特征:富集地幔的证据

长江中下游东段庐枞、怀宁、繁昌、铜陵和宁芜地区的中基性岩属于碱性系列 ,具有高的U ,Th含量和Th/Pb ,U/Pb比值 ,分别平均为 2 .82× 10 -6,9.5 6× 10 -6和 0 .6 35 ,0 .184。样品的初始铅同位素 (130Ma)组成为 :(2 0 6Pb/ 2 0 4Pb) i=17.6 5～ 18.6 0 ,(2 0 7Pb/ 2 0 4Pb) i=15 .4 2～ 15 .5 0 ,(2 0 8Pb/ 2 0 4Pb) i=37.6 7～ 38.0 4。形成中基性岩的原始岩浆来源于富集的岩石圈地幔 ,具有EMⅠ和EMⅡ ,且以EMⅡ为主的特征。和长江中下游西段黄石地区以及大别地块西南部玄武岩的比较表明 ,长江中下游地区岩石圈地幔高的Th/Pb和U/Pb比值可能和俯冲板片析出流体的交代有关。晚中生代时期 ,华北板块岩石圈地幔以EMⅠ特征为主 ,华南板块岩石圈地幔以EMⅡ特征为主 ,岩石圈地幔性质的区域性分布与印支期扬子板块深俯冲事件密切相关。虽然中国东部新生代玄武岩因岩石圈大规模减薄表现了亏损特征 ,但残留的富集岩石圈地幔在中国东部新生代玄武岩的Pb同位素中仍有所反映     

从江县翁浪金矿床容矿岩石与围岩蚀变及其找矿标志

文章简单介绍了构造蚀变岩型金矿翁浪金矿床的容矿岩石和围岩蚀变特征，指出该类矿床的找矿标志，对进一步寻找此类矿床有一定的意义。     

冀北发现具鬣刺结构的超基性岩

冀北具鬣刺结构的超基性岩呈透镜状，产于华北克拉通北缘的早元古宙红旗营子群黑云斜长片麻岩之中。富MgO，贫CaO，A12O3和FeO*＝0．86，TiO2介于0．01％-0．02％之间，与SSZ型蛇绿岩中相应岩石的TiO2含量相当。原始地幔标准化的过渡元素配分型式表现为不对称的“W”型，在TiO2和Cu处形成两个明显的负异常“谷”。据此地球化学特征意味着它们可能来自于消减带之下上地幔，为上地幔高度部分熔融的残余物。岩石中鬣刺结构可能是叶蛇纹石高压分解的结果，表明研究区某些变质橄榄岩岩块曾经受过俯冲—消减作用。     

庐山星子群变质岩的变质作用P-T条件研究

对分布于扬子块体南缘古元古代星子群变质宏的变质作用研究表明，它们普遍经历了角闪岩相的变质，其变质温度为480℃-580℃，压力在300MPa-500MPa之间。这与扬子块体南缘其他元古代地层仅经历了轻微变质的事实截然不同，表明星子群变质岩具有独特的构造演化历史。越来越多的研究发现，星子群变质岩是由地壳伸展作用引发的、来源于下地壳的前寒武纪变质基底，它并不是来源于华夏块体的“飞来峰”。     

对综合测井曲线解释的几点体会

本文阐述了在地质找矿中从地质角度对综合测井曲线解释的重要性；指出了测井曲线的一般特点和特殊优点；尤其对致密钙质岩石在测井曲线上的表现形式及其厚度确定做了深入研究；分析了测井曲线解释存在的问题；最后提出了几点建议。