For the three-dimensional compressible multicomponent displacement problem we put forward the modified method of characteristics with finite element operator-splitting procedures and make use of operator-splitting,cha...For the three-dimensional compressible multicomponent displacement problem we put forward the modified method of characteristics with finite element operator-splitting procedures and make use of operator-splitting,characteristic method,calculus of variations,energy method,negative norm estimate,two kinds of test functions and the theory of prior estimates and techniques.Optimal order estimates in L^2 norm are derived for the error in the approximate solution.These methods have been successfully used in oil-gas resources estimation,enhanced oil recovery simulation and seawater intrusion numerical simulation.展开更多
For compressible two-phase displacement problem, a kind of upwind operator splitting finite difference schemes is put forward and make use of operator splitting, of calculus of variations, multiplicative commutation r...For compressible two-phase displacement problem, a kind of upwind operator splitting finite difference schemes is put forward and make use of operator splitting, of calculus of variations, multiplicative commutation rule of difference operators, decomposition of high order difference operators and prior estimates are adopted. Optimal order estimates in L 2 norm are derived to determine the error, in the approximate solution.展开更多
针对人工判读道岔尖轨伸缩位移图像存在效率低和误差大的问题,为实现尖轨伸缩位移的实时自动监测,提出1种基于层次积分梯度的尖轨伸缩位移图像自动判读算法。采用逐层逼近目标区域的方式,克服尖轨伸缩位移图像中噪声和不相关信息的干扰,...针对人工判读道岔尖轨伸缩位移图像存在效率低和误差大的问题,为实现尖轨伸缩位移的实时自动监测,提出1种基于层次积分梯度的尖轨伸缩位移图像自动判读算法。采用逐层逼近目标区域的方式,克服尖轨伸缩位移图像中噪声和不相关信息的干扰,以SURF(Speeded Up Robust Features)算子的特征匹配结果为指导,逐步提取图像中的有效区域;利用积分梯度的抗噪特性,根据积分梯度和极值点精确定位刻度尺的特征点位置,结合可信度检验,实现尖轨伸缩位移图像的自动判读。用该算法对监测现场采集的尖轨伸缩位移图像进行判读的结果表明,可在2s内自动判读尖轨伸缩位移图像,总体偏差在0.5mm以内,能够满足目前现场对尖轨伸缩位移实时自动监测的要求。展开更多
基金This research is supported by the Major State Research Program of China(Grant No.19990328),the National Natural Sciences Foundation of China(Grant Nos.19871051 and 19972039),the National Tackling Key Problems Program and the Doctorate Foundation of the S
文摘For the three-dimensional compressible multicomponent displacement problem we put forward the modified method of characteristics with finite element operator-splitting procedures and make use of operator-splitting,characteristic method,calculus of variations,energy method,negative norm estimate,two kinds of test functions and the theory of prior estimates and techniques.Optimal order estimates in L^2 norm are derived for the error in the approximate solution.These methods have been successfully used in oil-gas resources estimation,enhanced oil recovery simulation and seawater intrusion numerical simulation.
基金the Major State Basic Research Program of China(19990328)NNSF of China(19871051,19972039) the Doctorate Foundation of the State Education Commission
文摘For compressible two-phase displacement problem, a kind of upwind operator splitting finite difference schemes is put forward and make use of operator splitting, of calculus of variations, multiplicative commutation rule of difference operators, decomposition of high order difference operators and prior estimates are adopted. Optimal order estimates in L 2 norm are derived to determine the error, in the approximate solution.
文摘针对人工判读道岔尖轨伸缩位移图像存在效率低和误差大的问题,为实现尖轨伸缩位移的实时自动监测,提出1种基于层次积分梯度的尖轨伸缩位移图像自动判读算法。采用逐层逼近目标区域的方式,克服尖轨伸缩位移图像中噪声和不相关信息的干扰,以SURF(Speeded Up Robust Features)算子的特征匹配结果为指导,逐步提取图像中的有效区域;利用积分梯度的抗噪特性,根据积分梯度和极值点精确定位刻度尺的特征点位置,结合可信度检验,实现尖轨伸缩位移图像的自动判读。用该算法对监测现场采集的尖轨伸缩位移图像进行判读的结果表明,可在2s内自动判读尖轨伸缩位移图像,总体偏差在0.5mm以内,能够满足目前现场对尖轨伸缩位移实时自动监测的要求。
