LD27-2油田稠油油藏蒸汽吞吐中后期注采参数优化研究

蒸汽吞吐是稠油油藏开发的最有效措施之一，但是对于海上油田的特殊条件，在进行蒸汽吞吐3~4轮后，即意味着进入蒸汽吞吐中后期。此时，如何调整注采参数，是海上稠油油藏高效开发的关键。针对LD27-2油田稠油油藏的开发特点，在地质建模和高度历史拟合的情况下，对LD27-2油田稠油油藏开发状况进行多轮次预测；基于生产历史拟合的油藏数值模型，开展了不同蒸汽干度、注汽强度、注汽强度递增等条件下A22H井和A23H井蒸汽吞吐至开采至10年的油藏数值模拟，明确不同注采参数的影响规律，优化了LD27-2油田稠油油藏蒸汽吞吐中后期注采参数。     

The role of additives (Ba,Zr, and Nd) on Ce/Cu/Al2O3 catalyst for water-gas shift reaction

Enhanced catalytic performance is required to increase the efficiency of hydrogen production from waste-derived synthesis gas via the high-temperature water-gas shift reaction (HT-WGSR). Herein, the effects of barium, zirconium, and neodymium doping on the physico-chemical properties of a Ce/Cu/Al₂O₃ catalyst as well as its catalytic performance for HT-WGSR are investigated. Ce/Cu/Al₂O₃ catalysts with various additives (barium, zirconium, and neodymium) prepared via a sequential impregnation method have been characterized by using N₂ adsorption-desorption isotherms, X-ray powder diffraction (XRPD), N₂O-titration, X-ray photoelectron spectroscopy (XPS), Raman spectroscopy, and hydrogen temperature-programmed reduction (H₂-TPR). Advantageously, barium and zirconium addition enhance the HT-WGSR activity and stability of the Ce/Cu/Al₂O₃ catalyst, whereas neodymium doping has a negative effect. Regarding the correlation of catalytic performance with the characterization results, it was found that catalytic activity and stability strongly depended on their oxygen vacancy concentration and strong-metal to support interaction.     

Evaluating the role of resilience in reducing economic losses from disasters: A multi-regional analysis of a seaport disruption

Models to estimate economic impacts of disasters have recently been augmented to include resilience. However, most research has incorporated only a limited set of resilience tactics and has not estimated their individual loss reduction effect. We present a comprehensive framework for estimating the relative effects of a broad set of post-disaster resilience tactics. Our methodological innovation is illustrated by adapting the TERM multi-regional CGE model for a seaport disruption, distinguishing inherent resilience working through the price system from adaptive resilience and other inherent tactics to cope with input shortages. We also overcome a path-dependency problem in the modelling process.     

Effect of α phase morphology on fatigue crack growth behavior of Ti−5Al−5Mo−5V−1Cr−1Fe alloy

Taking a Ti−5Al−5Mo−5V−1Cr−1Fe alloy as exemplary case, the fatigue crack growth sensitivity and fracture features with various tailored α phase morphologies were thoroughly investigated using fatigue crack growth rate (FCGR) test, optical microscopy (OM) and scanning electron microscopy (SEM). The tailored microstructures by heat treatments include the fine and coarse secondary α phase, as well as the widmanstatten and basket weave features. The sample with coarse secondary α phase exhibits better comprehensive properties of good crack propagation resistance (with long Paris regime ranging from 15 to 60 MPa·m^1/2), high yield strength (1113 MPa) and ultimate strength (1150 MPa), and good elongation (11.6%). The good crack propagation resistance can be attributed to crack deflection, long secondary crack, and tortuous crack path induced by coarse secondary α phase.     

A process fault diagnosis method using multi-time scale dynamic feature extraction based on convolutional neural network

Unlike many other techniques used in process control, which are widely applied in practice and play significant roles, abnormal situation management (ASM) still relies heavily on human experience, not least because the problem of fault detection and diagnosis (FDD) has not been well addressed. In this paper, a process fault diagnosis method using multi-time scale dynamic feature extraction based on convolutional neural network (CNN) consisting of similarity measurement, variable ranking, and multi-time scale dynamic feature extraction is proposed. The CNN-based model containing the fixed multiple sampling (FMS) layer can extract dynamic characteristics of process data at different time scales. The benchmark Tennessee Eastman (TE) process is used to verify the performance of the proposed method.     

用于嵌入系统的超声电机驱动设计

为了在嵌入式控制系统中充分利用超声电机特有功能,对超声电机的驱动原理进行了研究,在分析了超声电机的驱动控制原理的基础上,提出了一种基于单片机控制超声电机的软硬件控制实现方法。利用单片机输出数字量作为控制信号,通过串行输入并行输出芯片扩展后,输出到超声电机驱动器,实现超声电机启动/停止/正反转的功能;通过扩展单片机数模转换,将单片机控制超声电机速度的数字信号转换为电压信号,实现超声电机的速度控制功能;利用运行脉冲宽度控制实现超声电机的位置控制功能,并将光电编码器实现超声电机的反馈,最后通过试验验证了单片机系统实现超声电机驱动设计。     

MDCK细胞库的建立、检定及其生物学特性

目的建立MDCK细胞的主细胞库及工作细胞库,并进行检定,同时评价其生物学特性。方法从欧洲细胞保藏中心(European Collection of Authenticated Cell Culture,ECACC)引进1株MDCK细胞,经传代扩大培养后,分别建立主库及工作细胞库。按照《中国药典》三部(2015版)规定的方法对细胞库进行细胞活力、细胞形态、无菌、支原体及细胞内外源病毒因子检查,并对细胞生长状况、传代稳定性、流感病毒敏感性进行检测。结果建立的MDCK细胞主种子库及工作种子库细胞形态呈不规则的上皮样细胞状,生长状态良好,细胞活率分别为96.0%和95.5%,无菌、支原体及细胞内外源病毒因子检查结果均合格。MDCK细胞生长曲线均呈S型,培养48~96 h进入对数生长期,随后进入平台期。连续传10代48 h细胞活率在93.0%~95.5%之间,较稳定。MDCK细胞对流感病毒较敏感,对B型流感病毒的敏感性高于A型流感病毒。结论建立的主细胞库及工作细胞库各项检测结果均符合《中国药典》规定,具有良好的传代稳定性及流感病毒敏感性。     

基于VMD与时间序列分析的滚动轴承故障特征提取方法

为了在非线性、非平稳的滚动轴承故障振动信号中有效提取出敏感的故障特征,提出了基于变分模态分解(VMD)与时间序列分析相结合的特征提取方法。首先通过VMD将原始信号分解为不同预设尺度的本征模态分量(IMF),对各个IMF分量建立时间序列预测模型,通过叠加重构得到最终的预测模型,比较评价指标确定最优参数的选取。最后,通过仿真信号与滚动轴承实际故障数据分析,并与经验模式分解(EMD)进行对比,结果表明该方法能够有效的提取到故障特征频率。     

基于VMD瞬时能量与GA- RBF的滚动轴承故障诊断

针对滚动轴承早期故障的有效识别,提出了一种基于VMD瞬时能量与GA优化的RBF神经网络的滚动轴承故障诊断方法,可以有效对滚动故障做出诊断。首先,VMD将滚动轴承振动信号进行分解成合适数目的本证模态函数;其次,计算本证模态函数分量的瞬时能量并组成特征向量;最后,将特征向量输入到GA优化的RBF神经网络实现轴承故障识别。通过滚动轴承故障诊断实验对该方法进行验证。结果表明,该方法识别滚动轴承故障的准确率为96.43%,较默认参数的RBF神经网络和EEMD瞬时能量与GA-RBF神经网络有明显的提高,证明了所提方法的可行性。     

煤与天然气气流床共气化制合成气试验研究

为提高煤、天然气资源综合利用效率,优化合成气成分,进行了煤与天然气气流床共气化技术研究。介绍了煤与天然气气流床共气化的试验装置及工艺流程,考察了气化温度、压力、水煤浆浓度、CH4与煤比对共气化反应的影响。结果表明,气化温度和CH4与煤比是共气化反应的主要影响因素,较高的气化温度对共气化反应有利,气化温度为1 350℃时,共气化指标较好,有效气体积分数大于90%;随着CH4与煤比的增大,合成气n(H2)/n(CO)增高。CH4与煤比为0.9 m3/kg时,合成气中n(H2)/n(CO)约1.2。根据后续合成工艺要求,通过调节气化温度和CH4与煤比,可获得n(H2)/n(CO)在0.8~2.0的合成气。