Remaining oil distribution in Ng3^3 bottom water reservoir of Lin 2-6 fault-block in Huimin depression and potential tapping in horizontal well

Oil reservoirs with secondary bottom water in Ng33 members (in Guantao formation, Paleogene system) of Lin2-6 fault block in Huimin depression (Bohai Bay Basin) have entered the late stage of ultra-high water-containing-exploitation. Oil exploita-tion from vertical wells is becoming more and more inefficient. The reservoir type, with water displacing oil and the remaining oil distribution are specifically studied in order to improve the efficiency of the recovery ratio. An integrated scheme for adjusting horizontal wells has been designed and the key technique of the scheme optimized. The study shows that: 1) the positive rhythm of fluvial depositional features is the internal cause of the flooding of oil reservoirs while water injection, injection-production patterns and accumulative petroleum production are the external causes; 2) oil-water driving patterns have transferred from edge water ad-vancing to bottom-water-coning; distribution of the remaining oil mainly concentrates in the upper rhythm and top of the middle rhythm in Ng33 members; 3) a great deal of remaining oil is enriched in high positions of faults, in axes of tiny structures, in stagna-tion areas among water-injection wells and oil-wells and in tectonic saddle areas with sparse wells. Compared with vertical wells, horizontal wells have advantages such as high recovery, high off-take potential, high critical output, large controlling areas and long time of bottom-water breakthrough.     

胶结物对东营凹陷储层砂岩弹性特征的影响

储层岩石的地震弹性属性是进行油气储层勘探及动态监测的基础。系统选取东营凹陷古近系各层段砂岩样品250块（以沙河街组为主）,在模拟储层条件下利用脉冲穿透法测试样品的纵、横波速度。样品在纵波速度一泊松比交汇图中表现出两种主要变化趋势,分别对应泥质与钙质胶结物的影响;在每个变化趋势中随泥质含量与钙质胶结物含量的增加,岩石结构从颗粒所构成的骨架支撑逐渐表现为基质支撑,弹性波能量的传播也从通过颗粒接触边界转变为通过岩石基质传播,这是使砂岩样品测试结果表现出两种截然不同变化趋势的主要原因,为利用岩石物理特性从地震资料中提取岩石结构、沉积与成岩特征的信息提供了依据。     

济阳坳陷沙河街组和孔店组烃源岩地球化学特征

对济阳坳陷沙河街组各个层段的有机质丰度、有机质类型和有机质成熟度进行研究。结果表明：沙三段有机碳含量最高,显示出该段烃源岩品质最好,沙四段次之,孔店组有机碳含量最低,其烃源岩品质最差;沙三、沙四段烃源岩以Ⅰ型干酪根为主,含有少量的Ⅱ型干酪根,孔店组以Ⅲ型干酪根为主;在有机质成熟度方面沙三段、沙四段到孔店组成熟度逐渐增高...     

库车坳陷大北地区白垩系裂缝及产能特征

裂缝评价在储层评价及开发过程中极其重要。认识裂缝形成的岩性岩相基础,了解有利裂缝发育的沉积微相,从裂缝分布的长度、宽度、密度、面缝率等特征结合试井产能分析,认识裂缝的基本特征、发育层段以及裂缝与产能关系,评价最优化高效产能的裂缝特征。     

发动机球铁风扇支架缩孔和缩陷的成因及防止

分析了风扇支架球铁铸件缩孔和缩陷产生的原因,应用均衡凝固理论,通过改进冒口的安放位置及冒口尺寸,有效地解决了缩孔和缩陷问题。     

熔透熔池表面下塌变形的动态演变过程分析

根据熔池表面下塌变形的三维信息描述了工件的熔透程度．利用所建立的TIG（钨极惰性气体保护电弧焊）焊接熔池形态瞬时行为的数学模型，对准稳态情况下当焊接工艺参数发生突变时熔透熔池表面下塌变形的动态演变过程进行了数值模拟，得出了指导焊接熔透控制系统设计的基础数据．工艺实验结果表明，熔池上、下表面变形量的计算结果与实测数据基本吻合．     

基于静息态fMRI低频振幅的首发抑郁症与功能脑区关联研究

利用功能磁共振成像(Functional magnetic resonance imaging, fMRI)技术,研究静息态下首发抑郁症患者脑功能的改变。 采用Siemens3.0T磁共振仪对5名首发抑郁症患者和1名性别年龄相仿的正常对照志愿者进行 静息态fMRI采集,采用低频振幅（Amplitude of low frequency fluctuation, ALFF）的 方 法分析数据,进行双样本t检验后分析静息态脑功能的差异。结果发现,抑郁症组大脑 左侧小脑6区、左侧颞下回、双侧尾状核、右侧舌回、左侧眶部额上回、右侧中央沟盖、右 侧前扣带和旁扣带脑回、右侧额中回、右侧岛盖部额下回、右侧补充运动区、左侧顶上回、 右侧中央后回、右侧背外侧额上回ALFF降低。首发抑郁症患者大脑的额叶、颞叶、扣带回及 尾状核等位置存在功能异常,这些区域的异常与情绪、认知、记忆等领域有关,与抑郁症息 息相关。     

Rigor, rigor mortis, and conspiratorial views of depression research.

The authors reassert the need for methodological changes in depression research appearing in the Journal of Personality and Social Psychology and other personality and social psychology journals. In this rejoinder the authors update their earlier literature review (H. Tennen, J. Hall, & G. Affleck; see record 1995-31710-001) and respond to the commentaries by P C. Kendall and E. C. Flannery-Schroeder (see record 1995-31700-001) and G. Weary, J. A. Edwards, and J. A. Jacobson (see record 1995-31713-001). The authors notice that G. Weary et al.'s own findings demonstrate the need to change how depression is measured and participants are assigned to experimental groups. The authors also challenge G. Weary et al.'s contention that structured interviews are limited because they require interviewer judgments, and they urge personality and social psychologists to learn more about these interviews. Finally, G. Weary et al.'s suspicion that depression research guidelines reflect professional parochialism is disputed. (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

社交媒体文本数据的抑郁症检测研究综述

近年来,机器学习被逐渐运用到基于社交媒体文本数据的抑郁症检测中并凸显重要应用价值。为梳理其应用现状和发展方向,对用于抑郁症检测的社交媒体文本数据集、数据预处理和机器学习方法进行整理分类。在数据特征表示方面,对比分析了基础特征表示、静态词嵌入和语境词嵌入。全面分析了利用不同基础特征和不同算法类型的传统机器学习以及深度学习进行抑郁症检测的性能和特点。总结并建议未来在中文数据集的创建、模型的可解释性、基于隐喻的检测和轻量级预训练模型方面做进一步的探索。