Seal integrity and feasibility of CO<Subscript>2</Subscript> sequestration in the Teapot Dome EOR pilot: geomechanical site characterization

This paper reports a preliminary investigation of CO₂ sequestration and seal integrity at Teapot Dome oil field, Wyoming, USA, with the objective of predicting the potential risk of CO₂ leakage along reservoir-bounding faults. CO₂ injection into reservoirs creates anomalously high pore pressure at the top of the reservoir that could potentially hydraulically fracture the caprock or trigger slip on reservoir-bounding faults. The Tensleep Formation, a Pennsylvanian age eolian sandstone is evaluated as the target horizon for a pilot CO₂ EOR-carbon storage experiment, in a three-way closure trap against a bounding fault, termed the S1 fault. A preliminary geomechanical model of the Tensleep Formation has been developed to evaluate the potential for CO₂ injection inducing slip on the S1 fault and thus threatening seal integrity. Uncertainties in the stress tensor and fault geometry have been incorporated into the analysis using Monte Carlo simulation. The authors find that even the most pessimistic risk scenario would require ∼10 MPa of excess pressure to cause the S1 fault to reactivate and provide a potential leakage pathway. This would correspond to a CO₂ column height of ∼1,500 m, whereas the structural closure of the Tensleep Formation in the pilot injection area does not exceed 100 m. It is therefore apparent that CO₂ injection is not likely to compromise the S1 fault stability. Better constraint of the least principal stress is needed to establish a more reliable estimate of the maximum reservoir pressure required to hydrofracture the caprock.     

利用地质雷达探测青岛港木质高桩码头承台完整性

利用EKKO－100型探地雷达对青岛港木质高桩码头承台完整性进行探测，结合现场钻探、孔内波速测试、岩样分析测试，进一步对码头的工程性状进行了分析和评价。     

GALILEO局域增强完备性监测网布设研究

完备性是飞机飞行安全的重要指标之一。我国在各种网的布设中一般只注重精度,而忽略了完备性。本文利用GALILEO模拟数据,在飞行轨迹固定的情况下,通过增减监测站的数量以及变换监测网的形状,计算飞机的精度和垂直保护水平(VPL),并分析飞机在不同监测网中精度和垂直保护水平的的变化规律,可以知道飞机在正方形网形的整体精度好于在其他网形中的精度,飞机在在正方形网形中的VPL虽大于在五边网形中的VPL,但两者相差很少。综合考虑,正方形网形是局域完备性监测网的最优布设网形。     

GALILEO系统局域完备性监测设计与实现

根据GALILEO系统局域完备性概念和网络RTK的基本理论,建立导航系统局域网络完备性监测理论和算法。算法主要包括网络系统完备性算法和用户完备性算法,内容包括网络误差模型的建立、插值算法的选择、误差改正数完备性指标的计算、完备性指标的验证和用户保护水平的计算等。仿真结果表明,采用网络RTK技术和完备性监测算法,飞机的平面保护水平和垂直保护水平均小于完备性告警门限值,可以满足飞机Ⅱ类和Ⅲ类精密进近的完备性要求,为卫星导航系统在民航中的应用提供完备性理论基础。     

反射波法基桩完整性检测中的一种信号处理方法

以纵向瞬态激振条件下桩的振动响应和桩中应力波传播理论为基础，利用二次快速傅立叶变换，将桩顶实测速度响应时程曲线的速度谱变换回时间域，得到速度反射因子，用以确定与桩身阻抗变化相关的主要频率成份，从而达到对桩身完整性进行快速而准确诊断的目的。应用分析表明，该方法简便可靠，特别适用于多重缺陷桩的检测。     

探地雷达在公路灌注碎石桩检测中的应用

介绍了应用探地雷达检测公路灌注碎石桩的基本方法,包括数据的采集、处理与解释,指出了探地雷达检测技术能够定性分析碎石桩的桩身完整性,并在公路工程实践中取得了良好的效果.     

降水现象仪观测应用评估

利用2017年9月至2018年8月北京20个站降水现象仪采集数据与人工平行观测数据,对降水现象仪进行了对比评估。结果表明:降水现象仪的缺测率为0.01%,空报率为0.6%,捕获率为93.5%,漏报率为27.9%,错报率为10.0%。从统计结果可知,降水现象仪的缺测率、空报率较低,捕获率较高,体现出设备性能良好的一面,漏报率和错报率偏高,表明设备漏识别和错误识别的情况较多,漏报主要发生在弱降水过程中,错报主要出现在毛毛雨的识别上。设备测量和人工观测降水开始时间一致性较好,终止时间一致性偏差;降水现象仪现存问题:在大雨强时易出现雨滴叠加误识别,在小雨强时识别率会降低,在无降水错误输出降水现象方面缺少质控。     

地理系统与地理信息系统

人类认识自己住居的星球是漫长的,然而是加速度的。学科的分化和交叉是多层次的。统一地理学一再遭受过冲击,但它的合理的内核——地理综合体是客观存在的。地图和遥感作为信息载体证实了这一观点。地理系统的概念反映当代科学技术进步和社会需求;而地理信息系统为地理学发挥区域性与综合性的优势提供了一种现代化的高技术手段。     

桩基低应变完整性检测的分析研究

本文简述了现场浇注混凝土桩的低应变完整性试验的基本理论和方法。文中设定了几个简单的分析模型，利用三维显式有限元法，对有局部材料缺陷桩完成了冲击荷载作用下的动力反应分析。同时，根据分析结果，对低应变完整性检测试验的实施方案，各种因素的影响效果以及试验结果的分析方法等若干问题进行了初步探讨。     

Assessing spatial and attribute errors in large national datasets for population distribution models: a case study of Philadelphia county schools

Geospatial technologies and digital data have developed and disseminated rapidly in conjunction with increasing computing efficiency and Internet availability. The ability to store and transmit large datasets has encouraged the development of national infrastructure datasets in geospatial formats. National datasets are used by numerous agencies for analysis and modeling purposes because these datasets are standardized and considered to be of acceptable accuracy for national scale applications. At Oak Ridge National Laboratory a population model has been developed that incorporates national schools data as one of the model inputs. This paper evaluates spatial and attribute inaccuracies present within two national school datasets, Tele Atlas North America and National Center of Education Statistics (NCES). Schools are an important component of the population model, because they are spatially dense clusters of vulnerable populations. It is therefore essential to validate the quality of school input data. Schools were also chosen since a validated schools dataset was produced in geospatial format for Philadelphia County; thereby enabling a comparison between a local dataset and the national datasets. Analyses found the national datasets are not standardized and incomplete, containing 76 to 90 percent of existing schools. The temporal accuracy of updating annual enrollment values resulted in 89 percent inaccuracy for 2003. Spatial rectification was required for 87 percent of NCES points, of which 58 percent of the errors were attributed to the geocoding process. Lastly, it was found that by combining the two national datasets, the resultant dataset provided a more useful and accurate solution.