吐哈盆地侏罗系砂岩储层中粘土矿物组成和分布的控制因素

在大量分析数据基础上，总结了吐哈盆地侏罗系砂岩储层中粘土矿物组成及其在纵横向上的分布特征，重点对吐哈盆地侏罗系岩储层中粘土矿物组成和分布的主控因素进行了分析，笔者认为吐哈盆地的成岩过程中砂岩孔隙介质条件，不同沉只环境砂体渗滤条件的差异，盆地的大地构造背景和构造发育史以及盆地演化过程中的古气候变化等是影响盆地砂岩粘放物组成和分布的主控因素。由此可以为寻找有利储层和设计酸化采油方案提供重要的依据。     

Quantitative Analysis of Mineral Resources for Strategic Planning: Implications for Australian Geological Surveys

A quantitative valuation study has been made of Australian state surveys with the specific goals of (1) establishing the 'worth' of current programs upgrading state government geoscientific information infrastructure, and (2) considering the results of the valuation in terms of strategic planning. The study has been done from the perspective of the community as a whole and has been undertaken in two phases reflecting the different objectives of Australian state surveys in terms of the exploration industry and government policy-making. This paper reports on the second part of this valuation process, measuring the impact of upgraded survey data on government mineral policy decision processes. The valuation methodology developed is a comparative approach used to determine net benefit foregone by not upgrading information infrastructure. The underlying premise for the geological survey study is that existing and upgraded data sets will have a different probability that a deposit will be detected. The approach used in the valuation of geoscientific data introduces a significant technical component with the requirement to model both favorability of mineral occurrence and probability of deposit occurrence for two different generations of government data. The estimation of mineral potential uses modern quantitative methods, including the U.S. Geological Survey three-part resource-assessment process and computer-based prospectivity modeling. To test the methodology mineral potential was assessed for porphyry copper type deposits in part of the Yarrol Province, central Queensland. Results of the Yarrol case study supports the strategy of the state surveys to facilitate effective exploration by improving accuracy and acquiring new data, as part of resource management. It was determined in the Yarrol Province case study that in going from existing to upgraded data sets the area that would be considered permissible for the occurrence of porphyry type deposits almost doubled. The implication of this result is that large tracts of potentially mineralized land would not be identified using existing data. Results of the prospectivity modeling showed a marked increase in the number of exploration targets and in target rankings using the upgraded data set. A significant reduction in discovery risk also is associated with the upgraded data set, a conclusion supported by the fact that known mines with surface exposure are not identified in prospectivity modeling using the existing data sets. These results highlight the absence in the existing data sets of information critical for the identification of prospective ground.Quantitative resource assessment and computer-based prospectivity modeling are seen as complementary processes that provide the support for the increasingly sophisticated needs of Australian survey clients. Significant additional gains to the current value of geoscientific data can be achieved through the in-house analysis and characterization of individual data sets, the integration and interpretation of data sets, and the incorporation of information on geological uncertainty.     

Preliminary reconstruction of sediment-source linkages for the past 6000 yr at the Petit Lac d'Annecy, France, based on mineral magnetic data

An 8 m core from the central plain of the Petit Lac d'Annecy, France, two floodplain cores, river bedload sediments and several hundred soil samples from the catchment have been studied using magnetic techniques. The soils, mainly developed on limestones and local glacial tills, show widespread magnetic enhancement with higher ferrimagnetic concentrations and contents of SP grains than found in the lake sediments. Some soils show significant concentrations of canted antiferromagnetic minerals (mainly haematite). Using magnetic quotient parameters the surface soils are classified into four mineralogical types. The lake and floodplain sediment properties over the past 6000 yrs can largely be explained by the erosion and deposition of these sources, with a smaller superimposed biogenic (magnetosomes) signal. Derived sediment-source linkages allow the construction of several hypotheses about geomorphological changes in the catchment system: (i) the long-term erosion of high altitude unweathered substrates has gradually increased towards the present day; (ii) the erosion of high altitude soils has increased within the last 1000 yrs, possibly during the period of the 'Little Ice Age'; (iii) shifts towards an increased erosion of surface lowland soil occurred ~2000 and 1000 yrs ago and may be linked to an accelerated accretion of floodplain overbank deposits; (iv) there has been a significant storage of surface soil within floodplains, which leads to an underestimation of the importance of soil erosion in the lake sediment records; (v) the sediment transported by high magnitude, low frequency flood events has shifted in source from high altitude soils before ~1000 cal. yr BP to lowland and mid-altitude free draining soils after ~1000 cal. yr BP.     

低品位氧化钴矿石钴的赋存状态和浸取实验研究

基于我国钴资源分布分散、且多为伴生、品位低的现状，对某铜钴矿化区钴矿石中的钴碳酸盐矿物、含钴铁氧化物和具有吸附态的粘土矿物进行了钴的赋存状态和浸取试验研究，查明了钴的赋存状态，并以此为依据，运用逐一条件试验和正交试验相互验证的办法，确定了最优化的浸取试验方案，该方法对此低品位氧化钴矿石中钴的浸出率达到90%以上。     

Internally consistent calibrations for geothermobarometry of high-grade Mg-Al rich rocks in the system MgO-Al2O3-SiO2 and their application to sapphirine-spinel granulites of Eastern Ghats, India and Enderby Land, Antarctica

Sixty-three internally consistent geothermobarometers for mineral equilibria involving sapphirine (2:2:1 and 7:9:3), pyrope, cordierite, enstatite, Mg-tschermak orthopyroxene, quartz, spinel and sillimanite have been calibrated in the MAS system. The updated thermodynamic data of these minerals are consistent, within limits of error, with highP-T experiments on several mineral equilibria and calorimetric data. TheP-T conditions of the granulite facies metamorphism, spanning a range of 700 to more than 1000°C and 4 to more than 10 kbar, can be estimated simultaneously from these geothermobarometers andP-T-t trajectories can be deduced from the reaction coronas well preserved in these rocks because of the refractory nature of aluminous phases. The geothermobarometers have been applied to sapphirine-spinel granulites of Eastern Ghats and Enderby Land. TheP-T conditions of metamorphism (a-prograde/thermal peak and b-retrograde isothermal/isobaric decompression/cooling) estimated for these granulites are: (1) Eastern Ghats (Visakhapatnam): Paderu- (a) 900°C/8.3kbar, (b-1) 900°C/6.8kbar and (b-2) 740°C/5.4 kbar; Anantgiri- (a) prograde anticlockwise 930°C/6.2 kbar and (b) 870°C/6.8 kbar, 820°C/6.1 kbar; Anakapalle- (b) 845°C/8.5-6.2 kbar; and Araku- (b) 840°C/6.2 kbar to 795°C/5.9 kbar. Enderby Land (Napier complex): Spot height 945, Tula Mts.- (a) 970°C/9.1 ± 0.6 kbar, isobaric cooling (b) 885°C/ 7.75 kbar, isothermal decompression (b) 880°C/6.85 kbar; Mt. Hardy, Tula Mts.- (b) 885°C/6.75 kbar; Mt. Riiser-Larsen, Amundsen bay- (a) 1000°C/7.0 kbar prograde anticlockwise; Mt. Sones- (b) 920°C/ 6.8 kbar; Forefinger Point, SW Enderby Land- (b) 840°C/6.7 kbar, 810°C/6.5 kbar and 775°C/5.0 kbar. The estimatedP-T andP-T-t are mostly consistent with those inferred from the granulites of these areas.     

南极乔治王岛菲尔德斯半岛湖泊堆积物的物相组成特征及其环境意义

本文根据南极乔治王岛菲尔德斯半岛燕鸥湖、西湖和基太克湖三个堆积剖面物相组成与丰度的资料，讨论其物相组成特征、物质来源及其环境意义。研究结果表明，湖泊堆积物主要来自该岛广泛分布的火山岩。在南极地区干冷环境条件下，源区母岩所经受的风化作用以物理风化为主，化学风化微弱。高岭石、方解石丰度与年龄关系曲线在湖积层与冰碛层之间的陡削变化表明，相应的环境变化是突变式的，可能与这两种堆积物搬运方式的不同和冰碛物的保护作用有关。     

矿床工业指标的制定与管理解析

１９９４－０４以后，国务院规定矿床工业指标由矿产储量审批机构统一下达，从历史的经验和现实的管理来看都是十分重要的。本文介绍了矿床工业指标制定与管理的原则，程序和方法，以及湖南省储委的５点经验，并提出了加强这一工作的建议。     

福建梅仙丁家山铅锌（银）矿床磁异常特征及其找矿意义

着重论述了丁家山铅锌（银）矿床的地质地球物理特征，磁法找矿的特殊作用，总结了建筑梅仙式矿床的物化探异常标导。     

乌拉山金矿钾长石的标型性及其与金矿化关系

在对乌拉山石英－钾长石脉型这一国内外尚不多见的新类型金矿床的野外观察和室内镜下研究的基础上，通过选择性地对其主要矿物钾长石进行电子探针分析，Ｘ射线粉晶衍射分析，红２外吸收光谱测定及可见光吸收光谱分析，系统详尽地了钾长石的产状，形态，化学成分，结构态及可见光吸收光谱特征，提取了作为找寻石英－钾长石脉型金矿床的重要矿物学标志，并进一步探讨了钾长石与金矿化的关系。     

Classification of mineral deposits into types using mineralogy with a probabilistic neural network

In order to determine whether it is desirable to quantify mineral-deposit models further, a test of the ability of a probabilistic neural network to classify deposits into types based on mineralogy was conducted. Presence or absence of ore and alteration mineralogy in well-typed deposits were used to train the network. To reduce the number of minerals considered, the analyzed data were restricted to minerals present in at least 20% of at least one deposit type. An advantage of this restriction is that single or rare occurrences of minerals did not dominate the results. Probabilistic neural networks can provide mathematically sound confidence measures based on Bayes theorem and are relatively insensitive to outliers. Founded on Parzen density estimation, they require no assumptions about distributions of random variables used for classification, even handling multimodal distributions. They train quickly and work as well as, or better than, multiple-layer feedforward networks. Tests were performed with a probabilistic neural network employing a Gaussian kernel and separate sigma weights for each class and each variable. The training set was reduced to the presence or absence of 58 reported minerals in eight deposit types. The training set included: 49 Cyprus massive sulfide deposits; 200 kuroko massive sulfide deposits; 59 Comstock epithermal vein gold districts; 17 quartzalunite epithermal gold deposits; 25 Creede epithermal gold deposits; 28 sedimentary-exhalative zinc-lead deposits; 28 Sado epithermal vein gold deposits; and 100 porphyry copper deposits. The most common training problem was the error of classifying about 27% of Cyprus-type deposits in the training set as kuroko. In independent tests with deposits not used in the training set, 88% of 224 kuroko massive sulfide deposits were classed correctly, 92% of 25 porphyry copper deposits, 78% of 9 Comstock epithermal gold-silver districts, and 83% of six quartzalunite epithermal gold deposits were classed correctly. Across all deposit types, 88% of deposits in the validation dataset were correctly classed. Misclassifications were most common if a deposit was characterized by only a few minerals, e.g., pyrite, chalcopyrite,and sphalerite. The success rate jumped to 98% correctly classed deposits when just two rock types were added. Such a high success rate of the probabilistic neural network suggests that not only should this preliminary test be expanded to include other deposit types, but that other deposit features should be added