Reservoir parameter inversion based on weighted statistics

Variation of reservoir physical properties can cause changes in its elastic parameters. However, this is not a simple linear relation. Furthermore, the lack of observations, data overlap, noise interference, and idealized models increases the uncertainties of the inversion result. Thus, we propose an inversion method that is different from traditional statistical rock physics modeling. First, we use deterministic and stochastic rock physics models considering the uncertainties of elastic parameters obtained by prestack seismic inversion and introduce weighting coefficients to establish a weighted statistical relation between reservoir and elastic parameters. Second, based on the weighted statistical relation, we use Markov chain Monte Carlo simulations to generate the random joint distribution space of reservoir and elastic parameters that serves as a sample solution space of an objective function. Finally, we propose a fast solution criterion to maximize the posterior probability density and obtain reservoir parameters. The method has high efficiency and application potential.     

原状和重塑海洋粉土动力特性对比试验研究

利用振动三轴仪和共振柱仪对原状和重塑海洋粉土的动强度、动剪切模量和阻尼比进行试验研究,并对原状和重塑样所表现出的动力特性的差异进行对比分析。试验结果表明：在相同工况下,原状海洋粉土的动剪切模量和参考剪应变均大于重塑样,阻尼比与重塑样比较接近;归一化的G/Gmax-γ/γr和λ-γ/γr关系曲线可以很好地消除重塑样的扰动性所引起的影响;原状海洋粉土的液化应力比和动强度比在相同工况下的重塑样小,原状和重塑样在相同等效循环振次下的动强度的差异性随着固结比的增大而减小;在试样即将破坏时,重塑样的孔压急剧增大,原状样的孔压趋于稳定值。     

云南省石漠化调查及治理综述

经过全面调查,查明了云南石漠化分布、成因及资源环境条件。通过统一规划,多方协作,采取生物、工程、经济、社会建设等多方面的措施开展石漠化综合治理,取得了一定成效,遥感监测石漠化面积减少6.2 万hm2。其中,国土资源部门进行的地下水开发、土地及矿山地质环境整治、地质旅游资源开发等综合治理工作,消除或削弱了造成石漠化的自然或人为因素,标本兼治的效果突出。石漠化治理工作中的问题,主要有石漠化治理仍限于治点,区域面貌改观不大;考虑岩溶流域的系统性不够,选择治理方法未考虑对流域下游的影响;重植被恢复,对于区域经济和生态功能整体修复的考虑不足;调查变化情况监测手段落后,治理效果及动态不清;地下水资源的科学开发利用和依法管控尚待加强;部门之间协调整合不够,影响综合治理成效等。因此云南的石漠化治理任重道远,尚需做好第二期综合治理规划,采取有效措施,加大规划的执行力度。      

Distribution and enrichment evaluation of heavy metals in Mejillones Bay (23 degrees S), Northern Chile: geochemical and statistical approach

A suite of 36 surface sediment samples, taken between 10 and 100 m water depth in Mejillones Bay (Northern Chile), were analyzed for mineralogy, grain size, total organic carbon, Al, and heavy metal content (Cd, Zn, Ni, Mn, V, Mo). Quartz and feldspars were the main lithogenic minerals and carbonate the predominant biogenic mineral. Sediments were fine sands in the shallow zone and organic silt in the deeper zone. Enrichment Factor and Factor Analysis approach showed that the presence of Mn in the marine sediment of Mejillones is due to a partial influence of continental input, while all other metals are not supported by lithogenic debris. Although all metals showed high concentrations in the marine sediment of Mejillones Bay, comparison between metal concentration in surface sediments and preindustrial levels in this bay, show that present values agree with natural levels.     

Statistical analysis in classification of bituminous coal

Hundreds of samples and 17 variables collected from coalfields of major coal-bearing strata over China except for Tibet and Taiwan, were used in this study. The dry, ash-free basis volatile matter (V ^r) and caking index (G _(RI)) were chosen by means of correlation analysis and stepwise discriminatory analysis as major indices of a new classification. By means of the optimum section, the boundary value of the axis of ordinate (G _(RI)) and axis of abscissas (V ^r) can be determined in the classification system. Thus, aV ^r –G _(RI) classification scheme diagram was formed and bituminous coal was divided into nine classes. Use of correspondence analysis reduced dimensions of sample-expressive space without losing initial information. The trend on the factor surface of samples shows that the classification obtained from correspondence analysis conforms to theV ^r –G _(RI) classification result and further verified the dependability of classification by two indices. At the same time, a certain relationship between the properties of a great variety of coal and their attributes can be explained. Hence, bituminous coal classification becomes more scientific, reasonable, and practical than before.     

Blast-resistant Analysis for a Tunnel Passing Beneath Taipei Shongsan Airport–a Parametric Study

This paper covers the blast-resistant analysis for a tunnel passing beneath Taipei Shongsan airport. It briefly discusses the overall analysis process to obtain the maximum lining thrust caused by a bomb explosion for use in the structural lining design. Because there have not been any established common standards or practices governing the design of such a structure, a series of parametric studies have been carried out in order to evaluate the significance and sensitivity of several parameters on the lining thrust. The parameters evaluated are: intensity of blast loading, size of crater, dynamic undrained shear strength, dynamic Young’s modulus, and soil-damping ratio. It was concluded that a designer should adopt dynamic soil parameters, obtained from good ground investigation and soil testing, as favorable dynamic soil properties can result in a more economical analysis. For parameters (e.g. bomb type) that are beyond the control of the designer, an additional protective layer over the tunnel structure may be considered in order to minimize the impact of the explosion, instead of designing a more costly rigid structure.     

Impact of land-use change on soil properties in a typical karst agricultural region of Southwest China: a case study of Xiaojiang watershed, Yunnan

Xiaojiang watershed is a typical karst agricultural region of Yunan Province, China. A case study of land-use changes documents changes of soil properties from 1982 to 2003. The results are as follows: (1) The total land use transformed covers 610.12 km², of which land use changed from unused land into cultivated land and forestland, and forestland into cultivated land during the past 20 years in Xiaojiang watershed. (2) The rapid growth of population and economic development were the main driving forces of cultivated land increase. (3) Soil properties showed modification owing to different land-use changes. The contents of the soil organic matter, total nitrogen, and total phosphorus in 2003 were significantly lower than that in 1982 after the forestland and unused land were transformed into the cultivated land, but the soil pH increased significantly in 2003. Organic matter, total nitrogen, and total phosphorus for shorter-time reforestation land declined, but the pH increased. Soil properties have improved significantly after cropland was transformed into orchard land. The organic matter, total nitrogen, total phosphorus, available nitrogen, and available phosphorus declined significantly, but pH increased significantly after rock desertification.     

基于Client／Server模式的移动GIS研究与关键技术实现

在综述移动GIS研究发展现状的基础上，本文首先分析了C／S模式移动GIS和B／S模式GIS的优缺点．认为在移动环境的特点下，C／S模式更适合于当前移动G1S的开发。由此，探讨了基于C／S模式移动GIS模型的关键技术与实现，包括移动定位技术、嵌入式G1S开发技术以及数据通信技术等，并以城市导游导航为应用实例进行了说明，验证了本文提出方法的可行性和正确性。     

Simulation and prediction of monthly accumulated runoff,based on several neural network models under poor data availability

Most previous research on areas with abundant rainfall shows that simulations using rainfall-runoff modes have a very high prediction accuracy and applicability when using a back-propagation(BP), feed-forward, multilayer perceptron artificial neural network(ANN). However, in runoff areas with relatively low rainfall or a dry climate, more studies are needed. In these areas—of which oasis-plain areas are a particularly good example—the existence and development of runoff depends largely on that which is generated from alpine regions. Quantitative analysis of the uncertainty of runoff simulation under climate change is the key to improving the utilization and management of water resources in arid areas. Therefore, in this context, three kinds of BP feed-forward, three-layer ANNs with similar structure were chosen as models in this paper.Taking the oasis–plain region traverse by the Qira River Basin in Xinjiang, China, as the research area, the monthly accumulated runoff of the Qira River in the next month was simulated and predicted. The results showed that the training precision of a compact wavelet neural network is low; but from the forecasting results, it could be concluded that the training algorithm can better reflect the whole law of samples. The traditional artificial neural network(TANN) model and radial basis-function neural network(RBFNN) model showed higher accuracy in the training and prediction stage. However, the TANN model, more sensitive to the selection of input variables, requires a large number of numerical simulations to determine the appropriate input variables and the number of hidden-layer neurons. Hence, The RBFNN model is more suitable for the study of such problems. And it can be extended to other similar research arid-oasis areas on the southern edge of the Kunlun Mountains and provides a reference for sustainable water-resource management of arid-oasis areas.     

���ھ�ֵƯ��ģ�͵Ŀ������

????????????????????????????μ???????????????÷????????????????????в?????????κθ????????????????????????????????????????????÷??????к?????????