富气处理和输送工艺技术

富气输送工艺不要求在矿场提取天然气凝析液成分 ,可以简化油田、凝析气田的气体处理工艺 ,节省天然气凝析液的储运费用。富气输送可采取传统压力下单相输送、高压密相输送、两相输送等 3种基本方式。对富气处理、各种富气输送方式的技术特点进行了讨论和比较 ,指出选择富气输送方式要考虑管道长度、输气量、富气组成 (气体处理工艺 )、边界压力限制等关键参数。与油气长距离混输方案相比 ,只要经过脱硫、脱水处理 ,富气的长距离输送是较稳妥的技术方案。     

Inactivation of yeasts in grape juice using a continuous dense phase carbon dioxide processing system

The effects of dense phase CO₂ processing parameters, including temperature (25 and 35 °C), CO₂ concentration (0, 85 and 170 g kg⁻¹) and pressure (6.9, 27.6 and 48.3 MPa), on yeast survival and sensory properties of grape juice were investigated. The dense phase CO₂ process resulted in more than a 6 log reduction in yeast population. As the CO₂ to juice concentration, temperature and pressure increased, the inactivation rate increased. CO₂ in the supercritical state was more effective in inactivating yeast than in the subcritical state. The process did not cause detectable flavor degradation. Dense phase CO₂ processing can be an effective non‐thermal alternative process for pasteurization of grape juice. Copyright © 2005 Society of Chemical Industry     

Statistical micromechanical method for dynamic kinetic binary interaction among moderate dense gene-regulating bio-molecules

A statistical thermodynamical approach has been introduced to calculate shear viscosity and thermal flux for interactions among the gene-regulating biomolecular protein particles that operate in moderate density rigid-sphere fluids. Starting from the modified Boltzmann equation with the help of linear perturbation theory, the coefficients of distribution function were determined. On the basis of transport theory, we introduced computational forms of diffusion constant, mass flux, shear viscosity, and thermal flux. We examined the influences of changes in mass, diameter, and magnitude of the pair correlation function. The present method will be available to evaluate the local physical reaction properties of the gene-regulating particles.This work was presented, in part, at the 8th International Symposium on Artificial Life and Robotics, Oita, Japan, January 24–26, 2003     

郑411块超稠油试油试采工艺技术应用

郑411块沙三段地层疏松出砂、原油粘度高，属中深层超稠油，常规试油试采方法难以突破出油关，采用APR全通径氮气垫测试、地层与井筒复合防砂、水平井配合直井蒸汽吞吐、氮气泡沫封堵调剖和井筒加热举升稠油等配套工艺技术，取得了较好的效果，为中深层超稠油油藏的开发提供了技术思路。     

水工自密实混凝土的设计及应用

自密实混凝土具有高流态、免振等特性,适用于体形复杂、钢筋密集等难以浇筑的特殊部位。介绍了水工自密实混凝土的设计要求、思路及配合比参数选定方法。以三峡二期工程左岸厂房坝段压力钢管外包混凝土为例,给出了水工自密实混凝土的具体设计及应用。该项技术具有较好的推广应用前景。     

免振捣自密实混凝土技术在多层住宅中的应用

介绍了免振捣自密实混凝土的特点和质量控制措施，结合某小区自密实混凝土工程应用实例，阐述了该项施工技术，其经济和社会效益良好，提出了进一步发展该技术的若干设想。     

煤粉锅炉稳燃技术分析

介绍了各类稳燃新技术,分析了不同技术的原理,在局部形成烟气回流、煤粉富集是实现煤粉锅炉稳定强化燃烧的重要措施。     

基于K-way谱聚类的背景离群点检测

为提高现有背景离群点检测算法背景子图划分的准确性,提出一种基于K-way谱聚类的背景离群点检测算法。构造图模型,对其进行K-way划分,使得到的背景子图具有解释性意义,从划分后的背景子图中获得离群点。实验结果表明,该算法的H指标提高50%,VI指标降低70%,其精确度有较大提高,且没有对图的结构进行改变,不会丢失重要信息。     

Coarse‐to‐Fine Isometric Shape Correspondence by Tracking Symmetric Flips

We address the symmetric flip problem that is inherent to multi‐resolution isometric shape matching algorithms. To this effect, we extend our previous work which handles the dense isometric correspondence problem in the original 3D Euclidean space via coarse‐to‐fine combinatorial matching. The key idea is based on keeping track of all optimal solutions, which may be more than one due to symmetry especially at coarse levels, throughout denser levels of the shape matching process. We compare the resulting dense correspondence algorithm with state‐of‐the‐art techniques over several 3D shape benchmark datasets. The experiments show that our method, which is fast and scalable, is performance‐wise better than or on a par with the best performant algorithms existing in the literature for isometric (or nearly isometric) shape correspondence. Our key idea of tracking symmetric flips can be considered as a meta‐approach that can be applied to other multi‐resolution shape matching algorithms, as we also demonstrate by experiments.     

A hybrid clustering and graph based algorithm for tagSNP selection

TagSNP selection, which aims to select a small subset of informative single nucleotide polymorphisms (SNPs) to represent the whole large SNP set, has played an important role in current genomic research. Not only can this cut down the cost of genotyping by filtering a large number of redundant SNPs, but also it can accelerate the study of genome-wide disease association. In this paper, we propose a new hybrid method called CMDStagger that combines the ideas of the clustering and the graph algorithm, to find the minimum set of tagSNPs. The proposed algorithm uses the information of the linkage disequilibrium association and the haplotype diversity to reduce the information loss in tagSNP selection, and has no limit of block partition. The approach is tested on eight benchmark datasets from Hapmap and chromosome 5q31. Experimental results show that the algorithm in this paper can reduce the selection time and obtain less tagSNPs with high prediction accuracy. It indicates that this method has better performance than previous ones.