With powerful nonlinear mapping and fitting ability of neural network, a production predicting neural network model is constructed. In view of high error, easy to default and other characteristics of oil field production data or data fitting and prediction is not easy to converge, a method of extended training data set and improved mean square error loss function are presented to get remarkable results in oil production fitting.

Temperature pattern in circulation phase of SAGD process is studied. Two in-situ points, three-dimensional heat conduct and partial penetration of horizontal well into reservoirs, are considered. The model is processed by dimensionless treatment, Laplace transformation, separation of variables and Stehfest numerical inversion. The results are in accordance with simulations by CMG software which verifies accuracy of the model. It shows relationship between temperature and heating time and concludes that the smaller the radial distance, the less the time is needed. Calculation plate can be helpful to design heating time and amount of heat.

Fractal approach is introduced. Mathematical model of fractal triple medium fissure cave reservoir with low velocity non-Darcy effect is established. By means of Laplace transform and Stehfest numerical algorithm, bottom hole pressure solution is obtained. Seepage characteristics analysis and nonlinear parameter sensitivity analysis are conducted. Finally, combined with actual well data fractal model is verified. It shows that seepage process of fractal triple medium fissure cave reservoir can be divided into 6 seepage stages. They are presence of wellbore storage, transition flow, channeling of caves to fractures, pseudo radial flow, channeling of matrix to fractures and caves, total radial flow, respectively. Furthermore, effect of velocity non-Darcy effect on percolation law is gradually increasing with time. The higher starting pressure gradient, the higher pressure dynamic curves in total radial flow stage bend upward. Fractal coefficient affects whole percolation process. With increase of fractal coefficient, fracture tortuosity and flow resistance increase and whole pressure dynamic curves move up.

Potential energy curves (PEC) of ground X²Π and A²Σ⁺ states of SiCl radical are calculated with internally contracted multireference configuration interaction approach in combination with Dunning's correlation-consistent basis sets. Reference energy and correlation energy are extrapolated to complete basis set limit. Scalar relativistic and core-valence correlation corrections are calculated. Spectroscopic parameters of X²Π and A²Σ⁺ states are obtained. With Breit-Pauli operator, PECs of X²Π_1/2 and X²Π_3/2 states are computed. Spectroscopic parameters of two Ω states are determined. Vibration manifolds are evaluated for two Λ-S and two Ω states of non-rotation SiCl radical by numerically solving radical Schrödinger equation of nuclear motion. For each vibrational state, vibrational levels and inertial rotation constants, spin-orbital coupling constants of X²Π state are determined.

With quasi-classical approximations, statistic properties of Fermi gas in a strong magnetic field at high temperatures are studied. Analytical statistic characteristic quantities are given,and effects of magnetic field as well as temperature on statistic properties of the system are analyzed. Compared with a system in low temperatures.statiBtic characteristic quantities of Fermi gas in a strong magnetic field at high temperatures do not oscillate.The magnetic field deorease total energy of the system,and increases the chemical potential,heat capacity,entropy,pressure and stability of the system-The higher the temperature is,the weaker effects of magnetic field on total energy and heat caDacity and the stronger effects on chemical potential are.

A visco-elasticity polymer flooding mathematical model with three phases and five components is established with mass conservation principle.IMPES method is used to simulate the polymer flooding considering tackffying effect of elasticity,action of decreasing residual oil and visco-elasticity of heavy crude.It indicates that visco-elasticity polymer flooding decreases saturation of residual oil and increases viscosity of flooding system effectively,and then enhances oil recovery.As polymer concentration increases, oil recovery rises qucikly,and then tends stable.An optimal value is about 2 000mg·L^-1.As injection rate grows.oil recovery increases and then declines.There exists an optimum value.Oil recovery increases rapidly with the increasing of injection volume,and then tends stable.The best volume is 0.6PV.

We study distribution of particles in Bose-Einstein condensation and ground state energy of condensate by solving a G-P equation with Fourier-Grid-Hamiltonian(F-G-H) method. It is shown that particle density in condensate center increases and radius of condensate decreases as intensity of power-law potential or frequency of harmonic potential is increased or repulsive interaction between particles is decreased. The ground state energy of BEG increases with increasing of total particle number, repulsive interaction between particles, frequency of harmonic potential or intensity of power-law potential. Thomas-Fermi approximation results approximate to numerical results as particle number increases. It is shown that Thomas-Fermi approximation is a good method with large particle numbers. For less particle numbers, numerical method should be used.