Ahdeb油田水平井控水完井及一体化耦合模型

Ahdeb油田上部主力层系采用水平井注采井网开发，前期取得了较好开发效果，但开发过程中部分井组稳产与高含水矛盾日益突出，亟需开展水平井调流控水研究。针对Ahdeb油田这类边水或注入水在高渗层或断层裂缝带突窜引起的水平井见水，基于不同钻遇储层特征，形成了水平井控水完井分类治理方案，并建立了一套同时适用于盲筛分段组合、中心管和ICD控水完井工艺的井筒-油藏一体化耦合数值模型。该模型重点考虑了水平井筒受多种作用力下的变质量流动过程，提高了单井的模拟和实际含水率匹配度。研究表明：对于根部见水的水平井，ICD完井及中心管完井均有较好控水效果，含水率从49.8%分别下降至37.8%和35.0%。完井控水装置的限流范围应略大于出水井段，才能有效控制含水率。调流控水装置下入时机应选择在水平井见水前，能够最大程度降低整个生产过程中的含水率，从而提高单井累产油量。     

Anisotropic thermal expansion behaviors of copper matrix in β-eucryptite/copper composite

A β-eucryptite/copper composite was fabricated by spark plasma sintering process. The thermal expansion behaviors of Cu matrix of the composite were studied by in situ X-ray diffraction during heating process. The results show that Cu matrix exhibits anisotropic thermal expansion behaviors for different crystallographic directions, the expansion of Cu{1 1 1} plane is linear in the temperature range from 20 °C to 300 °C and the expansion of Cu{2 0 0} is nonlinear with a inflection at about 180 °C. The microstructures of Cu matrix before and after thermal expansion testing were investigated using transmission electronic microscope. The anisotropic thermal expansion behavior is related to the deformation twinning formed in the matrix during heating process. At the same time, the deformation twinning of Cu matrix makes the average coefficient of thermal expansion of the composite increase.     

结构模板支撑系统安全防护架转换为外墙脚手架的施工技术

介绍了一种一次性同步搭设的模板支撑系统的安全防护架转换为后续施工砌体与装饰阶段脚手架的技术.通过采用一次性同步搭设技术,较好地解决了施工过程中的架体拉结问题,减少了管理中各种有关问题出现的影响,并减少了施工成本,值得推广应用.     

渤海海域浅层油气运移新认识与勘探新进展

浅层新近系是渤海海域油田储量和产量的主要层系。随着勘探程度的提高，大—中型油气田发现的难度也越来越大。基于渤海海域的勘探实践，结合浅层大—中型油田源外成藏的特性，通过分析油气深层运移与浅层富集的耦合关系，明确了古近系烃源层油气初次、二次运移所形成的"汇聚脊"对其上浅层油气富集、聚集的控制作用，并根据输导体系的组合划分出油气汇聚样式。在"汇聚脊"控藏模式的指导下，渤海海域多个构造带的油气勘探都取得突破，获得一系列亿吨级新发现，由此保证了渤海海域浅层规模优质油气储量持续发现，指导后续勘探进展。     

大学身份论

自然属性身份和赋予性身份共同构成了大学的身份属性,但"985"、"211"工程等政策实施过程中混淆了分类和分层的问题,令高等教育重点建设政策形成大学的政策赋予性身份,这种身份的暗示作用通过媒体和社会舆论的不断强化放大,而大学的自然属性身份和大学以人才培养质量、科学研究获得身份认同逐渐被忽略和模糊。大学政策赋予性身份在不断被强化中逐渐演变为教育资源配置和大学招生与就业的公平问题,影响了大学良性竞争和有序的发展。应当从弱化政策赋予性身份、强化社会赋予性身份的角度匡正大学的身份,实现大学的公平、有序、健康发展。     

Enterprise information system structure optimization based on time property with improved immune genetic algorithm and binary tree

This paper deals with how to optimize enterprise information system (EIS) structure based on time property. Once the EIS structure is formally represented, the time property corresponding to EIS structure expression can be obtained. Thus, aiming at the minimum time property, the EIS structure can be optimized. To this end, first, the formal representation of EIS structure based on object-based knowledge mesh (OKM) and binary tree is proposed. Second, different time properties corresponding to various structures are defined and clarified. Then, the optimal model of EIS structure is constructed. And then, the EIS structure model is optimized by the improved immune genetic algorithm (IGA) based on binary tree, niche algorithm and self-adaptive operators, and the steps of the improved IGA are presented in detail as well. Finally, the EIS structure optimization based on time property is illustrated by an example, which verifies the proposed approach.     

Managing context data for diverse operating spaces

Context-aware computing is an exciting paradigm in which applications perceive and react to changing environments in an unattended manner. To enable behavioral adaptation, a context-aware application must dynamically acquire context data from different operating spaces in the real world, such as homes, shops and persons. Motivated by the sheer number and diversity of operating spaces, we propose a scalable context data management system in this paper to facilitate data acquisition from these spaces. In our system, we design a gateway framework for all operating spaces and develop matching algorithms to integrate the local context schemas of operating spaces into a global set of domain schemas upon which SQL-based context queries can be issued from applications. The system organizes the operating space gateways as peers in semantic overlay networks and employs distributed query processing techniques over these overlays. Evaluation results on a prototype implementation demonstrate the effectiveness of our system design.