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| 1 | Lattice Bohzmann simulation of flow in a micro-channel显示文摘 | Zhang Renliang Di Qinfeng Wang Xinliang Gu Chunyuan Wang Wenchang | 2011 | Chinese J Comput Phys2011，28，2： | 1 |
| 2 | Dynamic characteristics analysis of drillstring in the ultra-deep well with spatial curved beam finite element显示文摘 | Hu Yibao Di Qinfeng Zhu Weiping | 2012 | Journal of Petroleum Science and Engineering2012，8283，： | 1 |
| 3 | Effect of pre-bent deflection on lateral vibration of stabilized drill collars显示文摘 | Zhu Weiping Di Qinfeng | 2011 | SPE Journal SPE-120455-PA2011，16，1： | 1 |
| 4 | The application and evaluation of a new vertical and fast drilling technology in Tuha oilfield显示文摘 | DI QINFENG CHANG YONGDO ZHOU HEJUN | 2004 | SPE879692004，，： | 1 |
| 5 | Comparative study of two lattice Boltzmann multiphase models for simulating wetting phenomena: implementing static contact angles based on the geometric formulation显示文摘Wetting phenomena are widespread in nature and industrial applications. In general, systems concerning wetting phenomena are typical multicomponent/multiphase complex fluid systems. Simulating the behavior of such systems is important to both scientific research and practical applications. It is challenging due to the complexity of the phenomena and difficulties in choosing an appropriate numerical method. To provide some detailed guidelines for selecting a suitable multiphase lattice Boltzmann model, two kinds of lattice Boltzmann multiphase models, the modified S-C model and the H-C-Z model, are used in this paper to investigate the static contact angle on solid surfaces with different wettability combined with the geometric formulation(Ding, H. and Spelt, P.D. M. Wetting condition in diffuse interface simulations of contact line motion. Physical Review E, 75(4), 046708(2007)). The specific characteristics and computational performance of these two lattice Boltzmann method(LBM) multiphase models are analyzed including relationship between surface tension and the control parameters, the achievable range of the static contact angle, the maximum magnitude of the spurious currents(MMSC), and most importantly, the convergence rate of the two models on simulating the static contact angle. The results show that a wide range of static contact angles from wetting to non-wetting can be realized for both models. MMSC mainly depends on the surface tension. With the numerical parameters used in this work, the maximum magnitudes of the spurious currents of the two models are on the same order of magnitude. MMSC of the S-C model is universally larger than that of the H-C-Z model. The convergence rate of the S-C model is much faster than that of the H-C-Z model. The major foci in this work are the frequently-omitted important details in simulating wetting phenomena. Thus, the major findings in this work can provide suggestions for simulating wetting phenomena with LBM multiphase models along with the geometric formulation. | Feng YE Qinfeng DI Wenchang WANG Feng CHEN Huijuan CHEN Shuai HUA | 2018 | Applied Mathematics and Mechanics(English Edition)2018，39，4： | 1 |
| 6 | Simulation and visualization experiment of manganese ion diffusion and damage to gel in a porous media-gel system显示文摘A new visualization method for studying the damage to gel structure caused by high salinity ions is explored by using the characteristics of suppression image signal of Mn^(2+) and nuclear magnetic resonance(NMR) imaging technique. The diffusion and distribution characteristics of Mn^(2+) in porous media-gel system were studied based on manganese chloride static diffusion and gel flooding experiments, and the gel's nuclear magnetic image and displacement pressure were tested. The results show that the diffusion of Mn^(2+)conforms to the Fick diffusion law in porous media-gel system, and the diffusion speed of Mn^(2+) increases and the area of gel image decreases gradually with the increase of concentration, and the image of gel decreases faster and the pressure drop of water drive is larger in flooding experiment of manganese chloride with higher concentration. Reaction-diffusion model with the reaction of Mn^(2+) with gel was established to study the concentration distribution characteristics of Mn^(2+). The model is validated by comparing the results with magnetic resonance imaging(MRI) experiments and the diffusion coefficient of Mn^(2+) equals 1.6 mm^2/h, and the minimum concentration of Mn^(2+) to impact gel NMR image signals is 2.5 g/L. The above results show that the diffusion of Mn^(2+) into the gel in the rock core inhibits the imaging signal of the gel and damages its strength, and the greater the concentration is, the greater the influence. Increase of adsorption amount of gel and reaction rate, reduction of diffusion time, and addition of ion adsorption isolator all can reduce the impact of Mn^(2+) on the gel. | GU Chunyuan QIN Rongsheng DI Qinfeng JIANG Fan LIU Zi'ang CHEN Huijuan | 2019 | Petroleum Exploration and Development2019，46，2： | 0 |
| 7 | Artificial intelligence method for predicting the maximum stress of an off-center casing under non-uniform ground stress with support vector machine显示文摘The situation of an off-center casing under non-uniform ground stress can occur in the process of drilling a salt-gypsum formation,and the related casing stress calculation has not yet been solved analytically. In addition,the experimental equipment in many cases cannot meet the actual conditions and the experimental cost is very high. These comprehensive factors cause the existing casing design to not meet the actual conditions and cause casing deformation,affecting the drilling operation in Tarim oil field. The finite element method is the only effective method to solve this problem at present,but the re-modelling process is time-consuming because of the changes in the parameters,such as the cement properties,casing centrality,and the casing size. In this article,an artificial intelligence method based on support vector machine(SVM) to predict the maximum stress of an offcenter casing under non-uniform ground stress has been proposed. After a program based on a radial basis function(RBF)-support vector regression(SVR)(ε-SVR) model was established and validated,we constructed a data sample with a capacity of 120 by using the finite element method,which could meet the demand of the nine-factor ε-SVR model to predict the maximum stress of the casing. The results showed that the artificial intelligence prediction method proposed in this manuscript had satisfactory prediction accuracy and could be effectively used to predict the maximum stress of an off-center casing under complex downhole conditions. | DI QinFeng WU ZhiHao CHEN Tao CHEN Feng WANG WenChang QIN GuangXu CHEN Wei | 2020 | Science China(Technological Sciences)2020，63，12： | 0 |
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