商河油田古近系碎屑岩储层及同沉积断层对其控制作用

商河地区为自北向南成明显阶梯状分布的多级构造调节带及多级坡折带,受其构造特征影响,储层特征也表现出明显的规律性。通过对商河地区大量储层物性数据的统计,结合镜下薄片观察发现商河油田具有同一层位,自北向南,商一区、商二区、商三区、商四区储层物性依次变差的特点;而对于同一地区,整体上自上向下随深度增加储层物性逐渐变差;同一层位不同沉积微相的储层具有不同的物性特征,三角洲前缘河口坝砂体储层物性最好,水下分支河道较好,而远砂坝、席状砂砂体储层物性相对较差。经综合研究分析认为储层特征主要受沉积相及成岩作用共同影响,储层成岩作用主要受地层埋深的影响,而由于商河地区的分界大断层主要为同沉积断层,地层厚度和沉积相分布主要受同生断层活动的影响,因此构造作用的同沉积断层是商河地区储层物性的主要控制因素。     

粘性类土侵蚀强度量化研究

海洋动力作用下,粘性土内部粘结力与重力的联合作用使其冲刷侵蚀特性较为复杂。从侵蚀原理出发,利用粘结力仪进行侵蚀试验,探讨了粘性土临界侵蚀剪应力τ_c与土体物理力学性质之间的相关性,并提出中值粒径、粘粒含量、密度及抗剪强度与τ_c之间的计算关系式。同时通过侵蚀公式计算结果与试验结果比较,验证了试验结果的准确性。     

祁连山森林草原带土壤属性和植被生物量对坡向和坡位的响应

祁连山森林草原带为典型的山地森林和草原镶嵌景观,带内植被呈显著的斑块状分布格局,与地形因子密切相关.探究森林草原带内地形因子与土壤和植被的关系,对该区生态恢复具有重要意义.采用样地-样方调查法,研究了祁连山森林草原带土壤属性和植被生物量随坡向(南、西南、西和北)和坡位(山顶、上坡、中坡、下坡和山谷)的变化特征及其与水热...     

渤海海域Z油田水驱开发储层物性变化规律

为研究海上稠油砂岩油藏水驱开发储层物性变化规律,以渤海海域Z油田为目标,利用多口密闭取心井资料,结合油田生产实际,从储层的黏土矿物、孔隙结构、储集孔渗及渗流特征等方面系统开展了水驱开发前后储层物性变化规律及机理研究.结果表明,经长期水驱开发,储层中黏土矿物总量呈减少趋势,其中高岭石含量降低,伊/蒙混层含量增加;岩石平均...     

米箭沟尾矿坝料动力特性试验研究

本文对米箭沟尾矿坝料的组成、结构特征和物理力学性质进行分析,运用振动三轴试验确定尾矿坝料的动力特性参数,分析研究动力特性指标模型,得出动应力、动模量、阻尼比、动剪切摸量随动应变的变化规律,以及动应力与破坏振次,孔压比与振次比的变化规律,并提出符合试验结果的孔压模型,对该尾矿坝的地震动力分析及抗震稳定性评价提供一定科学依据和技术指导。     

黄土物理性质与湿陷性的关系及其工程意义

以陇东地区黄土为研究对象,探讨了湿陷系数与各种物理指标的内在联系,采用多因素回归分析建立了湿陷系数与含水量、孔隙比、塑性指数(粘粒含量)的分析模型,结果显示湿陷系数与物理指标间具有良好的相关性,采用物理指标计算的湿陷总量与实验测试总量较为接近,计算结果更好的反映湿陷性随取样深度变化的规律,对评价湿陷性黄土地基具有工程实用价值。     

沸石对放射性核素Cs+,Sr2+的吸附阻滞作用

通过对新疆乌鲁木齐浅水河地区沸石的物化性质和工程特性(包括阳离子交换容量、孔结构、粒度组成、击实密度、渗透系数等)、活化处理以及对放射性核素C s ,S r2 吸附性能的研究,结果表明:该沸石的阳离子交换容量(CEC)达到97.9 m eq/100 g,在中性条件下最高为195.4 m eq/100 g;击实后的渗透系数为8.7×10-4m/s。沸石对溶液中的C s ,S r2 吸附量分别达到162.6×1-0 3和74.9×1-0 3,吸附效果优于内蒙高庙子膨润土矿。经过钠改性和铵改性处理后的沸石,对C s 的吸附量有不同程度的提高,最高达234.5×1-0 3;但对S r2 的吸附效果影响不大。溶液pH值对C s ,S r2 的吸附量有明显影响,中性和碱性环境更有利于沸石吸附作用的进行。     

LiCl-MgCl2-H2O及其子体系多温下体积性质研究(英文)

用高精度振动管密度仪测定二元系统(Li Cl-H₂O和MgCl₂-H₂O)和三元系统(Li Cl-MgCl₂-H₂O)在273.15至308.15 K下溶液密度。采用VFT方程关联了Li Cl和MgCl₂溶液密度与温度、摩尔浓度关系。利用Young理想混合规则,根据二元体积性质计算计算了三元系统溶液密度。采用Pitzer离子相互模型拟合了Li ClMgCl₂-H₂O,得到Pitzer单盐参数(β_M~(_X⁰ V),β_M~(_X¹ V),and C^V_MX,MX=Li Cl和MgCl₂)和混合离子相互作用参数(θ^V_Li,Mg、ψ^V_Li,Mg,Cl     

Bayesian assessment of site‐specific performance of geotechnical design charts with unknown model uncertainty

Soil properties are indispensable input parameters in geotechnical design and analysis. In engineering practice, particularly for projects with relatively small or medium sizes, soil properties are often not measured directly, but estimated from geotechnical design charts using results of some commonly used laboratory or in situ tests. For example, effective friction angle ?′ of soil is frequently estimated using standard penetration test (SPT) N values and design charts relating SPT N values to ?′. Note that directly measured ?′ data are generally not available when (and probably why) the use of design charts is needed. Because design charts are usually developed from past observation data, on either empirical or semi‐theoretical basis, uncertainty is unavoidably involved in the design charts. This situation leads to two important questions in engineering practice: 1 how good or reliable are the soil properties estimated in a specific site when using the design charts? (or how to measure the performance of the design charts in a specific site?); and 2 how to incorporate rationally the model uncertainty when estimating soil properties using the design charts? This paper aims to address these two questions by developing a Bayesian statistical approach. In this paper, the second question is firstly addressed (i.e., soil properties are probabilistically characterized by rationally incorporating the model uncertainty in the design chart). Then, based on the characterization results obtained, an index is proposed to evaluate the site‐specific performance of design charts (i.e., to address the first question). Equations are derived for the proposed approach, and the proposed approach is illustrated using both real and simulated SPT data. Copyright © 2016 John Wiley & Sons, Ltd.     

Changing river temperatures in northern Germany: trends and drivers of change

Climate change is one of the main drivers of river warming worldwide. However, the response of river temperature to climate change differs with the hydrology and landscape properties, making it difficult to generalize the strength and the direction, of river temperature trends across large spatial scales and various river types. Additionally, there is a lack of long‐term and large‐scale trend studies in Europe as well as globally. In this study, we investigated the long‐term (25 years; 132 sites) and the short‐term (10 years; 475 sites) river temperature trends, patterns and underlying drivers within the period 1985–2010 in seven river basins of Germany. The majority of the sites underwent significant river warming during 1985–2010 (mean warming trend: 0.03 °C year^?1, SE = 0.003), with a faster warming observed during individual decades (1985–1995 and 2000–2010) within this period. Seasonal analyses showed that, while rivers warmed in all seasons, the fastest warming had occurred during summer. Among all the considered hydro‐climatological variables, air temperature change, which is a response to climate forcing, was the main driver of river temperature change because it had the strongest correlation with river temperature, irrespective of the period. Hydrological variables, such as average flow and baseflow, had a considerable influence on river temperature variability rather than on the overall trend direction. However, decreasing flow probably assisted in a faster river temperature increase in summer and in rivers in NE basins (such as the Elbe basin). The North Atlantic Oscillation Index had a greater significant influence on the winter river temperature variability than on the overall variability. Landscape and basin variables, such as altitude, ecoregion and catchment area, induced spatially variable river temperature trends via affecting the thermal sensitivity of rivers, with the rivers in large catchments and in lowland areas being most sensitive. Copyright © 2016 John Wiley & Sons, Ltd.