外伴管伴热系统传热特性及优化的数值研究

利用FLUEM软件,对外伴管伴热体系传热特性及其优化进行了数值分析与讨论.分析表明系统中存在传导、对流及辐射传热,其中封闭空气夹层又存在层流自然对流.计入空气对流的模拟表明,工艺管受热不均匀,而伴管布置在其正下方、保持空气层不被保温层挤占可提高伴热效果.伴热平衡时,伴热介质温度、热损失随物料温度近似线性增加.空气层均温假设导致工程设计不合理,而降低工艺管与伴管之间的热阻是提高伴热能力的关键.     

梁112块沙四段薄互层低渗透油藏水力压裂工艺优化

梁112块沙四段薄互层油藏属于典型的高压、特低渗透油藏,具有油层多、单层薄、砂岩与泥岩交互等特点。常规压裂效果不理想。通过建立单井模型,确定了压裂应以增加裂缝的长度为主;利用FracproPT软件模拟优化加砂规模;根据油层物性特点优化射孔方案;配套应用粉陶降滤和控制缝高等技术优化了水力压裂工艺。2004年共对11口井实施了大型水力压裂,平均加砂量为42.5m3,平均加砂强度为1.6m3/m,累积增产原油达2.75×104t。     

炼油厂全流程优化建模方法研究

为了克服使用线性规划和单处理单元非线性规划进行生产优化的内在缺点，在建立原油单元、催化裂化、催化重整和汽油调合等4个重要处理单元详细模型的基础上，将单处理单元非线性过程模型集成到一个全流程优化非线性模型中。优化的目标函数是使炼油厂全厂利润最大。决策变量是那些显著影响全厂效益的变量，约束条件是单个处理单元约束条件的集合。对某炼油厂进行实例研究，结果表明该全流程模型能有效处理全厂优化问题，所得利润在线性规划的基础上提高4．5％。     

地层岩性随钻识别的神经网络方法研究

钻井过程中随钻识别钻头当前位置的岩性信息对于合理选择钻头类型、快速建立岩性剖面、及时发现油气层和卡准取心层位有着重要意义。钻井实践证明，地层岩性的变化在钻井参数上有很好的综合体现。以录井资料为基础，结合已钻井的测井资料，根据BP神经网络原理，建立了地层岩性随钻识别神经网络模型。应用该模型在新疆油田进行了地层岩性随钻识别试验，试验结果与测井资料解释结果相比，效果较好，符合率可达80％。     

Degree-of-polarization and eye-closure penalty associated with optical signals with orthogonal polarizations

We perform a systematic measurement of the degree-of-polarization (DOP) and eye-closure penalty for optical signals with orthogonal polarizations. We find that the symmetry of DOP is maintained for the orthogonal polarizations under both first and higher order polarization-mode dispersion (PMD), whereas the symmetry of eye-closure penalty is broken under second-order PMD. An orthogonal polarization pair can have large disparity of eye-closure penalty despite an identical DOP. We also demonstrate a novel approach to estimate the maximum eye-closure penalty asymmetry with three orthogonal polarizations on the Poincare/spl acute/ sphere.     

智能组合式充电机的开发与研制

针对集中供电式地震勘探仪器在地震勘探作业中对电瓶充电的特殊要求，我们研制出一种智能组合式充电机。文中阐述了智能式充电机的设计原理，介绍了其性能指标及使用效果。     

连续波腔衰荡技术原理推导及实验研究

基于无源腔的Q值定义,根据能量守恒原理,对连续波腔衰荡技术测量原理进行了推导,并基于多光束干涉理论,就入射光关断时间对腔出射光强信号衰荡线形及测量结果的影响进行了数值模拟和分析,分析表明：入射光的关断时间很大程度上决定着腔出射光功率信号的衰减线形,如果要消除入射光关断时间对测量结果的影响,入射光关断必须小于腔衰荡时间的1%。根据理论分析要求建立了一套测量系统,并对腔损耗约为50ppm的低损无源腔进行了实际测量,实验结果的分析显示,该测量系统测量误差约为0．15ppm。     

Automatic image hanging protocol for chest radiographs in PACS.

Chest radiography is one of the most widely used techniques in diagnostic imaging. It comprises at least one-third of all diagnostic radiographic procedures in hospitals. However, in the picture archive and communication system, images are often stored with the projection and orientation unknown or mislabeled, which causes inefficiency for radiologists' interpretation. To address this problem, an automatic hanging protocol for chest radiographs is presented. The method targets the most effective region in a chest radiograph, and extracts a set of size-, rotation-, and translation-invariant features from it. Then, a well-trained classifier is used to recognize the projection. The orientation of the radiograph is later identified by locating the neck, heart, and abdomen positions in the radiographs. Initial experiments are performed on the radiographs collected from daily routine chest exams in hospitals and show promising results. Using the presented protocol, 98.2% of all cases could be hung correctly on projection view (without protocol, 62%), and 96.1% had correct orientation (without protocol, 75%). A workflow study on the protocol also demonstrates a significant improvement in efficiency for image display.     

On-demand learning for a wireless campus

The current Internet and wireless networks are harsh environments for transporting high-bandwidth multimedia data. We examine the technical issues involved, and describe an end-to-end solution to support a Web-based learn-on-demand system that operates in a wireless campus environment.