利用相控模型进行井间参数预测

储层物性参数在空间的展布，一直是储层非均质性研究的难点，利用分形和蒙特卡洛方法，在精细的沉积微相及小层对比研究基础之上，预测了井间的岩石相分布，并根据取心井资料，建立了各种岩石相的渗透率相控模型，从而预测出井间渗透率的分布。该方法以地质特征为基础，将地质资料与数学方法相结合，充分体现了渗透率在井间既具有连续性，同时变化又非常剧烈的特点，为储层物性空间预测提供了新的思路。     

高边坡稳定性研究现状及发展展望

在分析研究国内外有关斜坡(尤其是高边坡)稳定性研究文献的基础上,对当前这一领域的研究现状作了简要评述,提出了今后的研究方向和复杂岩体高边坡稳定性研究的基本思路与方法。     

江西永平铜矿田构造地球化学

本文在对永平铜矿田构造调查研究的基础上,初步探讨了矿田主要控岩控矿构造——F_1断裂构造地球化学和候家—嵩山倒转背斜褶皱构造地球化学,以及构造应力对矿液和成矿物质的运移与富集的影响——成矿构造地球化学。最后还提出了永平铜矿田构造地球化学成矿模式。     

Adsorbed silica in stalagmite carbonate and its relationship to past rainfall

Despite considerable work on other trace elements, the incorporation of dissolved silicon from cave waters into speleothems has not been previously investigated. In this study, the controls on dissolved Si in cave waters and on adsorbed Si in resulting speleothems are therefore investigated. Bedrock (dolomite), soil water, dripping water, and cave carbonates were retrieved from Heshang Cave situated in the central Yangtze valley of China and were subjected to analysis of dissolved Si content (plus accompanying Ca and Fe analyses). Soil waters have Si/Ca of 45.5 mmol/mol, compared to only 3.2 mmol/mol in the dolomite bedrock, demonstrating that >80% of the dissolved Si must come from dissolution of silicate minerals in the soil. Drip waters have a dissolved Si concentration of ≈4.2 μg/mL, similar to that in the overlying soil water. Actively growing cave carbonates have a Si/Ca of 0.075 mmol/mol suggesting a partition coefficient for incorporation of dissolved silicon of 0.0014, in good agreement with previous laboratory studies. Extrapolating the results of these laboratory studies to the cave environment suggests that changes in Si/Ca in cave carbonates are likely to be primarily controlled by changes in drip-water Si/Ca. The drip-water Si/Ca will, in turn, be controlled by the rate of wind-blown silicate supply; by soil weathering rates; by rainfall dilution; and by precipitation of calcite. The general expectation is that these effects combine to produce high Si/Ca in speleothems during times of low rainfall. A δ¹⁸O record from a Heshang Cave stalagmite which grew between 20 and 11 thousand years ago allows these controls to be tested. Correlation of high Si/Ca with high δ¹⁸O demonstrates that regional rainfall exerts significant (but not complete) control on speleothem Si/Ca. With further understanding, speleothem Si/Ca may provide a proxy for past rainfall to complement existing proxies such as δ¹⁸O and Mg/Ca.     

Hydrocarbon Generating Potential of Mineral—Bituminous Matrix in Source Rocks

Mineral-bituminous matrix(MBM) makes up a major part of source rocks,but its potential in hydrocarbon generation is uncertain,Mineral and organic (Maceral and kerogen) compositions,organic maturity and fluorescence of MBM are studied based on source rock samples from eastern Jiuquan(Jiudong)Basin.The results show that MBM is dominated by inorganic minerals and among the small percentage of organic components those of secondary origins are predominant over the primary species.This strongly indicates that the significance of MBM in hydrocarbon generation is limited.     

The introduction of neural network system and its applications in rock engineering

The neural network system has been developing very fast recently. It has been widely used in many industries such as automation, nuclear power plant, chemical industry, etc. Neural network systems have a great advantage in dealing with problems in which many factors influence the process and result, and the understanding of this process is poor, and there are experimental data or field data. In rock engineering, many problems are of this nature. In this paper, a brief introduction to neural network systems is given. Problems such as what is a neural network, how it works and what kind of advantages it has are discussed. After this, several applications in rock engineering, made by us, are presented. Case 1 is ore boundary delineation. In this case, the rock are divided into three classes, i.e.: (1) waste rock; (2) semi-ore; and (3) ore for mining purposes. The neural network system built can judge whether it is ore, semi-ore or waste rock along the borehole according its corresponding geophysical logging data, such as gamma-ray, gamma-gamma, neutron and resistivity. Case 2 is aggregate quality prediction. In this case, the quality parameters: (1) impact value; (2) abrasion value I; and (3) abrasion value II are predicted by using a neural network system based on density, point load, content of quarts and content of brittle minerals. Case 3 is rock indentation depth prediction. In this case, the rock indentation depth under indentation load is predicted by the established neural network system based on the indentation load on rock, indenter type and rock mechanical properties, such as uniaxial compressive strength, Young's modulus. Poisson's ratio, critical energy release rate and density. In all these cases, the neural network systems have been applied successfully. The testing results are satisfactory and better than the existing techniques.     

深埋隧道工程主要灾害地质问题分析

深埋隧道工程由于埋深大、洞程长、地质条件复杂,在修筑过程中,将会发生一系列特殊的灾害地质问题。如：高压涌水、高地应力及岩爆、高地温问题等。本文根据大量深埋隧道工程实例,分析服这些灾害地质问题发生条件和影响因素。     

用窗口法估计不连续面的连通率

基于不连续面与窗口交切的必需而充分的条件,推导了不连续面迹长、间断长和不连续面连通率的估算公式,通过实例验证了该公式的正确性。     

高放废物处置库预选场地地学信息库的建立

本文以高放废物处置库预选场地甘肃北山玉门镇地学信息库的建立为例,详细阐述了地理信息系统在高放废物地质处置中的应用,并在此基础上分析了其应用前景,为不同层次的管理、科研人员提供了全新思路;介绍了将地理信息系统技术引入图件和资料管理的优点。