2021 Vol. 42, No. 9

Display Method:
Fluid Mechanics
Machine Learning With Physical Empirical Model Constraints for Prediction of Shale Oil Production
ZHOU Jimin, ZHANG Haichen, WANG Moran
2021, 42(9): 881-890. doi: 10.21656/1000-0887.420015
Abstract(1178) PDF(155)
Abstract:
Prediction of oil and gas production is an important way to determine its development economy. However, at present the production prediction is still hard to achieve consistency between the physics-based method and the data-based method. For shale oil and gas production analysis, in-depth combinatio...
A Low-Order Model Method for 2-Phase Oil Reservoir Simulation
JIA Xinxin, WANG Lei, ZHANG Hao, SUN Xiaoling, DUAN Liya, WANG Xin
2021, 42(9): 891-899. doi: 10.21656/1000-0887.410235
Abstract(783) PDF(57)
Abstract:
At present, the main methods used in reservoir numerical simulation, such as the finite element method and the finite volume method, require long calculation times, which limit their implementation in the real-time prediction and the reservoir production. An efficient data-processing method that bas...
A “Standard Cross-Section” Method for the Calculation of Riverbed and Bank Shear Stresses
LUO You, ZHU Senlin, CAO Bing, JIANG Chenjuan
2021, 42(9): 915-923. doi: 10.21656/1000-0887.420048
Abstract(907) PDF(56)
Abstract:
Seeking for the “zero shear stress dividing line” and quantifying the apparent shear stress at the interface between adjacent sub-regions are 2 main methods to calculate the riverbed and bank shear stresses. To simplify the empirical expression for apparent shear stresses along the dividing line, a ...
Existence and Blowup of Positive Solutions to a Class of Multilateral Flow Equations
LI Jianjun, TANG Yina
2021, 42(9): 924-931. doi: 10.21656/1000-0887.420022
Abstract(727) PDF(57)
Abstract:
The global existence and blowup of the solutions to a class of multilateral filtration equations with non-local Neumann boundary conditions and nonlinear absorption terms were studied. First, the super- and sub-solutions were defined for the studied equations and the comparison principle was establi...
Applied Mathematics
Study on Numerical Solutions to Hyperbolic Partial Differential Equations Based on the Convolutional Neural Network Model
GAO Puyang, ZHAO Zitong, YANG Yang
2021, 42(9): 932-947. doi: 10.21656/1000-0887.420050
Abstract(1102) PDF(154)
Abstract:
In recent years, artificial neural networks developed rapidly. Application of this method to partial differential equations became a new idea for exploring numerical solutions to differential equations. Compared with the traditional methods, it has some advantages, such as a wide range of applicatio...
Singularly Perturbed and Soliton Solutions to a Class of KdV-Burgers Equations
BAO Liping, LI Ruixiang, WU Liqun
2021, 42(9): 948-957. doi: 10.21656/1000-0887.420011
Abstract(867) PDF(57)
Abstract:
A class of KdV-Burgers equations with large Reynolds numbers and weak dispersions were discussed, which were mathematically expressed as a class of singularly perturbed KdV-Burgers equations. The interaction between the nonlinear term and the dispersion term in the KdV-Burgers equation forms a stabl...
Stability of Vector Optimization Problems Under Approximate Equilibrium Constraints via Free-Disposal Sets
ZENG Yue, PENG Zaiyun, LIANG Renli, SHAO Chongyang
2021, 42(9): 958-967. doi: 10.21656/1000-0887.410244
Abstract(876) PDF(57)
Abstract:
The stability of vector optimization problems under approximate equilibrium constraints (AOPVF) via free-disposal sets was discussed. Firstly, the Berge-semicontinuity of the constraint set mapping and the closedness, the convexity and the compactness of the constraint set were obtained with the wea...
The Phragmén-Lindelöf Type Alternative Results for Binary Heat Conduction Equations
LI Yuanfei, ZENG Peng, CHEN Xuejiao
2021, 42(9): 968-978. doi: 10.21656/1000-0887.420031
Abstract(917) PDF(37)
Abstract:
The asymptotic behavior of the solution to the binary heat conduction equation in the semi-infinite domain was considered, in which the local non-homogeneous Neumann condition was applied to the side of the cylinder. This condition simulates the local damage of the insulation material on the side of...
The Random ADMM and Its Application to Convex Economic Dispatch Problems of Power Systems
CHEN Weijun, LUO Honglin, PENG Jianwen
2021, 42(9): 979-988. doi: 10.21656/1000-0887.420040
Abstract(912) PDF(65)
Abstract:
A new random alternating direction method of multipliers (ADMM) was designed to solve convex economic dispatch problems in power systems. The convergence of the random ADMM was analyzed. Under some mild assumptions, the random ADMM, according to the cycle update rule and the random selection update ...
Block-Sparse Signal Recovery via l2/lq(q=2/3) Minimization
ZHU Dechun, ZHOU Jun, CAO Manxia, HUANG Wei
2021, 42(9): 989-998. doi: 10.21656/1000-0887.420009
Abstract(866) PDF(38)
Abstract:

The recovery of block-sparse signals was mainly studied. By means of the block restricted q-isometry property (block q-RIP) with 0<q≤1, a sufficient condition for block-sparse signal recovery was established through mixed l2/lq(q=2/3) norm minimization with q=2/3,and an error bound for signal rec...