Through natural partition and clustering analysis,four kinds of flow units were distinguished in Pu53 block,Pucheng Oilfield. Taking the short-term cycle as studying unit,the two-dimensional distribution of each type ...Through natural partition and clustering analysis,four kinds of flow units were distinguished in Pu53 block,Pucheng Oilfield. Taking the short-term cycle as studying unit,the two-dimensional distribution of each type of flow units was forecasted and the short-term cycle was classified into four types based on the two-dimensional characteristics of the flow units. The remaining oil was predicted by conceptual simulation,qualitative analysis and quantitative modeling. The results showed obvious control of the characteristics of reservoir flow units to the remaining oil. E and G units in type I and type II short-term cycles which are distributed continuously in large areas are mostly flooded,while the uncontrolled small isolated G flow unit in type III short-term cycles which were mainly made of F flow unit and F flow unit with continuous distribution become the accumulating place for remaining oil. Thus the development adjustment strategy should optimize the development of small-scale E and G units,strengthen the development of type III short-term cycles,and block out type I short-term cycles. This strategy improves the development of Pu53 block obviously.展开更多
The distribution of remaining oil is often described qualitatively. The remaining oil distributed in the whole reservoir is calculated according to the characteristics of the space distribution of the saturation of re...The distribution of remaining oil is often described qualitatively. The remaining oil distributed in the whole reservoir is calculated according to the characteristics of the space distribution of the saturation of remaining oil. Logging data are required to accomplish this. However, many such projects cannot be completed. Since the old study of remaining oil distribution could not be quantified efficiently, the ＂dynamic two-step method＂ is presented. Firstly, the water cut of every flow unit in one well at one time is calculated according to the comprehensive water cut of a single well at one time. Secondly, the remaining oil saturation of the flow unit of the well at one time is calculated based on the water cut of the flow unit at a given time. The results show that ＂dynamic two-step method＂ has characteristics of simplicity and convenience, and is especially suitable for the study of remaining oil distribution at high water-cut stage. The distribution of remaining oil presented banding and potato form, remaining oil was relatively concentrated in faultage neighborhood and imperfect well netting position, and the net thickness of the place was great. This proposal can provide an effective way to forecast remaining oil distribution and enhance oil recovery, especially applied at the high water-cut stage.展开更多
为解决网络中因链路失效而产生的拥塞问题.利用萤火虫群提出一种新的网络生存性评价方法 (Survivability algorithm based on Glowworm Swarm,SGS).给出了生存性的评价指标,针对失效状态下的到达流量,利用萤火虫群优化算法来获得最佳网...为解决网络中因链路失效而产生的拥塞问题.利用萤火虫群提出一种新的网络生存性评价方法 (Survivability algorithm based on Glowworm Swarm,SGS).给出了生存性的评价指标,针对失效状态下的到达流量,利用萤火虫群优化算法来获得最佳网络剩余流量.通过OPNET和MATLAB进行联合仿真实验,深入研究网络生存性与失效链路、荧光素系数、权重系数等参数之间的关系.研究结果表明:相比于其它方法,SGS表现出较好的适应性.展开更多
为了解决网络生存性的评价问题,基于混合蛙跳算法提出了一种新的计算方法SSFL(survivability-based on shuffled frog leaping)。利用网络剩余流量和网络剩余能量给出了生存性定义,并结合混合蛙跳算法设计了生存性算法流程,以此获得最...为了解决网络生存性的评价问题,基于混合蛙跳算法提出了一种新的计算方法SSFL(survivability-based on shuffled frog leaping)。利用网络剩余流量和网络剩余能量给出了生存性定义,并结合混合蛙跳算法设计了生存性算法流程,以此获得最大网络剩余能量;利用OPNET和MATLAB进行仿真实验,深入研究了网络生存性与失效链路、权重系数等参数之间的关系。仿真结果表明,相比于其它方法,SSFL表现出较好的适应性。展开更多
An aviation hydraulic axial piston pump＇s degradation fiom comprehensive wear is a typical gradual failure model. Accurate wear prediction is difficult as random and uncertain char- acteristics must be factored into ...An aviation hydraulic axial piston pump＇s degradation fiom comprehensive wear is a typical gradual failure model. Accurate wear prediction is difficult as random and uncertain char- acteristics must be factored into the estimation. The internal wear status of the axial piston pump is characterized by the return oil flow based on fault mechanism analysis of the main frictional pairs in the pump. The performance degradation model is described by the Wiener process to predict the remaining useful life （RUL） of the pump. Maximum likelihood estimation （MLE） is performed by utilizing the expectation maximization （EM） algorithm to estimate the initial parameters of the Wiener process while recursive estimation is conducted utilizing the Kalman filter method to estimate the drift coefficient of the Wiener process. The RUL of the pump is then calculated accord- ing to the performance degradation model based on the Wiener process. Experimental results indi- cate that the return oil flow is a suitable characteristic for reflecting the internal wear status of the axial piston pump, and thus the Wiener process-based method may effectively predicate the RUL of the pump.展开更多
准确认识多孔介质内水驱剩余油的微观赋存状态对于改善高含水油田水驱开发效果,提高水驱采收率具有重要意义。在对Volume of Fluid(VOF)方法验证的基础上,充分利用其追踪两相界面动态变化、再现微观渗流物理过程的优势,开展特高含水期...准确认识多孔介质内水驱剩余油的微观赋存状态对于改善高含水油田水驱开发效果,提高水驱采收率具有重要意义。在对Volume of Fluid(VOF)方法验证的基础上,充分利用其追踪两相界面动态变化、再现微观渗流物理过程的优势,开展特高含水期砂岩油藏物性条件、驱替方式对剩余油微观赋存特征和采收率的影响研究。通过分析典型孔隙结构的微观渗流特征和剩余油受力情况,揭示不同类型微观剩余油的动用机制和规律:水湿条件下驱替速度的增大和驱替方向的改变会使得微观剩余油分布较为分散且采收率得到不同程度的提高;油湿及高黏度比条件下毛管阻力、黏滞力较大,剩余油多以簇状和多孔状聚集分布,采出程度相对较低。展开更多
基金Supported by the National Natural Science Foundation of China (Grant Nos. 40602013, 40572078)the Ph.D. Programs Foundation of Ministry of Education of China (Grant No. 20060489002)
文摘Through natural partition and clustering analysis,four kinds of flow units were distinguished in Pu53 block,Pucheng Oilfield. Taking the short-term cycle as studying unit,the two-dimensional distribution of each type of flow units was forecasted and the short-term cycle was classified into four types based on the two-dimensional characteristics of the flow units. The remaining oil was predicted by conceptual simulation,qualitative analysis and quantitative modeling. The results showed obvious control of the characteristics of reservoir flow units to the remaining oil. E and G units in type I and type II short-term cycles which are distributed continuously in large areas are mostly flooded,while the uncontrolled small isolated G flow unit in type III short-term cycles which were mainly made of F flow unit and F flow unit with continuous distribution become the accumulating place for remaining oil. Thus the development adjustment strategy should optimize the development of small-scale E and G units,strengthen the development of type III short-term cycles,and block out type I short-term cycles. This strategy improves the development of Pu53 block obviously.
文摘The distribution of remaining oil is often described qualitatively. The remaining oil distributed in the whole reservoir is calculated according to the characteristics of the space distribution of the saturation of remaining oil. Logging data are required to accomplish this. However, many such projects cannot be completed. Since the old study of remaining oil distribution could not be quantified efficiently, the ＂dynamic two-step method＂ is presented. Firstly, the water cut of every flow unit in one well at one time is calculated according to the comprehensive water cut of a single well at one time. Secondly, the remaining oil saturation of the flow unit of the well at one time is calculated based on the water cut of the flow unit at a given time. The results show that ＂dynamic two-step method＂ has characteristics of simplicity and convenience, and is especially suitable for the study of remaining oil distribution at high water-cut stage. The distribution of remaining oil presented banding and potato form, remaining oil was relatively concentrated in faultage neighborhood and imperfect well netting position, and the net thickness of the place was great. This proposal can provide an effective way to forecast remaining oil distribution and enhance oil recovery, especially applied at the high water-cut stage.
文摘为解决网络中因链路失效而产生的拥塞问题.利用萤火虫群提出一种新的网络生存性评价方法 (Survivability algorithm based on Glowworm Swarm,SGS).给出了生存性的评价指标,针对失效状态下的到达流量,利用萤火虫群优化算法来获得最佳网络剩余流量.通过OPNET和MATLAB进行联合仿真实验,深入研究网络生存性与失效链路、荧光素系数、权重系数等参数之间的关系.研究结果表明:相比于其它方法,SGS表现出较好的适应性.
文摘为了解决网络生存性的评价问题,基于混合蛙跳算法提出了一种新的计算方法SSFL(survivability-based on shuffled frog leaping)。利用网络剩余流量和网络剩余能量给出了生存性定义,并结合混合蛙跳算法设计了生存性算法流程,以此获得最大网络剩余能量;利用OPNET和MATLAB进行仿真实验,深入研究了网络生存性与失效链路、权重系数等参数之间的关系。仿真结果表明,相比于其它方法,SSFL表现出较好的适应性。
基金supported by the National Natural Science Foundation of China(No.51305011)the National Basic Research Program of China(No.2014CB046402)the 111 Project of China
文摘An aviation hydraulic axial piston pump＇s degradation fiom comprehensive wear is a typical gradual failure model. Accurate wear prediction is difficult as random and uncertain char- acteristics must be factored into the estimation. The internal wear status of the axial piston pump is characterized by the return oil flow based on fault mechanism analysis of the main frictional pairs in the pump. The performance degradation model is described by the Wiener process to predict the remaining useful life （RUL） of the pump. Maximum likelihood estimation （MLE） is performed by utilizing the expectation maximization （EM） algorithm to estimate the initial parameters of the Wiener process while recursive estimation is conducted utilizing the Kalman filter method to estimate the drift coefficient of the Wiener process. The RUL of the pump is then calculated accord- ing to the performance degradation model based on the Wiener process. Experimental results indi- cate that the return oil flow is a suitable characteristic for reflecting the internal wear status of the axial piston pump, and thus the Wiener process-based method may effectively predicate the RUL of the pump.
文摘准确认识多孔介质内水驱剩余油的微观赋存状态对于改善高含水油田水驱开发效果,提高水驱采收率具有重要意义。在对Volume of Fluid(VOF)方法验证的基础上,充分利用其追踪两相界面动态变化、再现微观渗流物理过程的优势,开展特高含水期砂岩油藏物性条件、驱替方式对剩余油微观赋存特征和采收率的影响研究。通过分析典型孔隙结构的微观渗流特征和剩余油受力情况,揭示不同类型微观剩余油的动用机制和规律:水湿条件下驱替速度的增大和驱替方向的改变会使得微观剩余油分布较为分散且采收率得到不同程度的提高;油湿及高黏度比条件下毛管阻力、黏滞力较大,剩余油多以簇状和多孔状聚集分布,采出程度相对较低。
