基于转移概率地质统计的淮南顾桥矿区松散层含水介质刻画

含水介质的空间分布及其非均质性对地下水流和溶质运移有着重要的影响。以淮南顾桥矿区作为研究对象,为了刻画矿区松散层含水介质的空间分布,使用转移概率地质统计方法建立含水介质的随机模型,对矿区水文地质结构的空间连续性和空间变异性进行表征;并将随机模拟得到的顾桥矿区含水介质剖面图与矿区原始水文地质剖面进行对比。结果表明,基于转移概率地质统计模拟方法可以比较准确地刻画矿区的水文地质结构;模拟剖面与原始水文地质剖面的比较显示模拟结果与实际含水介质空间分布情况有较好的一致性,转移概率地质统计方法在对含水介质非均质性刻画中具有较好的适用性。     

基于镶嵌数据集的洪水演进动态模拟

为使洪水演进中计算得到的枯燥的水文数据变得直观形象,进一步丰富洪水演进可视化手段,以离散水深点数据为基础,采用两种空间插值方法,对比了不同插值方法所生成栅格的优劣,选用合适的插值方法创建水深栅格,并通过构建镶嵌数据集实现了洪水的动态演进和可视化,直观形象地模拟了洪水演进的过程,为防洪减灾决策提供技术支持。     

Influence Factors Analysis of Tight Oil EUR Evaluation

<正>1 Introduction The factors that relate to EUR estimation are analyzed from six aspects of decline model combination,economic production,production period,development program,geology and engineering.In this paper,the correlation and coupling between EUR and related factors are further analyzed,and these factors include declined model     

基于CMIP5模拟预估21世纪珠江三角洲地区由于海平面上升而导致的淹没区面积

Projections of potential submerged area due to sea level rise are helpful for improving understanding of the influence of ongoing global warming on coastal areas. The Ensemble Empirical Mode Decomposition method is used to adaptively decompose the sea level time series in order to extract the secular trend component. Then the linear relationship between the global mean sea level(GMSL) change and the Zhujiang(Pearl) River Delta(PRD)sea level change is calculated: an increase of 1.0 m in the GMSL corresponds to a 1.3 m(uncertainty interval from1.25 to 1.46 m) increase in the PRD. Based on this relationship and the GMSL rise projected by the Coupled Model Intercomparison Project Phase 5 under three greenhouse gas emission scenarios(representative concentration pathways, or RCPs, from low to high emission scenarios RCP2.6, RCP4.5, and RCP8.5), the PRD sea level is calculated and projected for the period 2006–2100. By around the year 2050, the PRD sea level will rise 0.29(0.21 to 0.40) m under RCP2.6, 0.31(0.22 to 0.42) m under RCP4.5, and 0.34(0.25 to 0.46) m under RCP8.5, respectively.By 2100, it will rise 0.59(0.36 to 0.88) m, 0.71(0.47 to 1.02) m, and 1.0(0.68 to 1.41) m, respectively. In addition,considering the extreme value of relative sea level due to land subsidence(i.e., 0.20 m) and that obtained from intermonthly variability(i.e., 0.33 m), the PRD sea level will rise 1.94 m by the year 2100 under the RCP8.5scenario with the upper uncertainty level(i.e., 1.41 m). Accordingly, the potential submerged area is 8.57×103 km2 for the PRD, about 1.3 times its present area.     

松辽盆地含CO_2火山岩气藏的形成和分布

松辽盆地特有的深部构造背景和裂谷演化特征,造成盆地内含CO_2火山岩气藏的形成和富集。松辽裂谷盆地中新生代火山岩浆活动发育,总体上具有多期喷发、分布广泛和储集条件良好的特点。火山活动以中心式喷发为主,主要发育中基性-酸性火山岩,发育流纹岩、凝灰岩等多种岩石类型,爆发相和溢流相2种火山岩相。中生代火山岩在盆地内分布广泛,营域组构成深层有利储层,新生代火山岩在盆地外围出露较多,而在盆内出露较少。盆地高含量的二氧化碳为无机幔源成因,由青山口期和新生代幔源岩浆脱气形成。含CO_2火山岩气藏的形成主要受深部构造背景、深大断裂和中新生代火山岩控制。已发现含CO_2火山岩气藏主要分布于古中央隆起带及其两侧断陷的营城组火山岩中,具有点状、带状分布,局部富集的特点。根据主控因素分析,预测了5个CO_2富集区带。     

SOFM储层综合评价方法及其在延吉盆地的应用

通过对已有储层评价方法优势与不足的分析,提出在空间数据库基础上应用自组织特征映射神经网络进行油气储层评价,并对延吉盆地大砬子组储层进行了评价。评价结果显示：Ⅰ级储集层主要发育于朝阳川凹陷中央-延D4井西缘、呈椭圆状分布,朝阳川凹陷西缘即延D6、延3之间呈月牙状分布;Ⅱ级储集层区块较大,分布集中在朝阳川凹陷周缘及帽儿山凸起,在清茶馆凹陷的东缘、南缘和德新凹陷的北缘呈不规则分布;Ⅲ级主要发育于朝阳川凹陷中央-朝阳川镇南部,清茶馆凹陷东缘,呈条带、小块状零星分布,德新凹陷大部呈不规则分布;Ⅳ级主要发育于西部隆起区、练花洞单斜一带,在茶清馆凹陷中央也有零星分布;其它地区是储层物性发育较差的Ⅴ级。     

基于VB/MATLAB的前兆资料小波分析程序的实现

在研究近年来国内前兆资料小波处理的基础上,开发出一种基于VB／MATLAB的地震前兆资料处理软件,可在VB应用程序里直接调用MATLAB小波、去噪等函数,使分析处理更方便、快捷,同时以实例说明其实现过程。     

Regionalization of annual runoff characteristics and its indication of co-dependence among hydro-climate–landscape factors in Jinghe River Basin,China

It is a challenge to properly generalize hydrological characteristics under the great heterogeneity of climate and landscape conditions across space because the linkage and interaction among hydro-climate–landscape factors are complicate and ambiguous at regional scale. In this study, multivariate statistical analyses including clustering, correlation and regression analysis were combined with Budyko and L’vovich frameworks to regionalize runoff characteristics over Jinghe River Basin of northwest China. For all 23 sub-basins, the hydrologic factors were quantified using the metrics of mean annual values and intra-annual variability of runoff. The climatic factors are determined from precipitation, potential evapotranspiration and aridity index, and the landscape factors were extracted from topography, soils and vegetation of the sub-basins. Results illustrated that the 23 sub-basins can be classified into two groups, the dry Loess Plateau (LP) and the wet Mountain Region (MR) in the study basin. The runoff metrics of sub-basins in each group present similarity in spatial distribution, intra-annual variations and the dominant influence factors of climate and landscape. But such runoff metrics characteristics and their co-dependence are significantly different between the two clustered sub-basins. Higher runoff and gentler hydrographs were observed in the MR in response to wetter and greater intra-annual variability in climate and greater spatial variability in landscape, whereas lower runoff and sharper hydrograph were seen in response to drier and greater intra-annual variability in climate, and less spatial variability in landscape in the LP. The runoff spatial distribution is more sensitive to climate spatial variation than to landscape in LP as opposed to the MR. Among the landscape factors, forest distribution is the dominant control on the spatial runoff characteristics in LP whereas topography is principal factor in MR. Our results highlight that current measures of reforestation plus marked change in climate in the Loess Plateau could lead to significant change in streamflow.