Tight sandstone samples from Gaotaizi oil layer in Qijia area of Songliao basin were mainly studied in this paper. In order to further study on the mechanism of seepage, 3D digital core model with real pore throat structure was constructed by Avizo 8.0, which had advantages such as non-destructive to samples, visualized results and abundant data. The research showed the storage space was mainly composed of intergranular dissolution pores, intragranular dissolution pores and micro-fractures, pore& throat in 3D space is more tubular and ribbon, micro-pore distribution has the heterogeneity, narrow throat radius is the main cause of low permeability of the sample.
Keywords: - Qijia Area; X-CT scanned image technique ; Tight sandstone; Microscopic pore structure; Digital core
[1] Wu Shenghe, Xiong Qihua. Hydrocarbon reservoir geology[M]. Beijing: Petroleum Industry Press, 1998: 113-122.
[2] Bai Bin, Zhu Rukai, Wu Songtao, et al. New Micro-throat Structural Characterization Techniques for Unconventional Tight Hydrocarbon Reservoir [J].China petroleum exploration . 2015, 19 (3) : 78-86.
[3] Sakdinawat A, Attwood D. Wu Wenquan, Li Wei, Li Wenjie. Nano-CT study on nanostructureof porous ceramics [J]. Nuclear Techniques, 2010, 33(4):241-245
. [4] Nanoscale X-ray imaging [J].Nature Photonics, 2010, 267(4):840-848.
[5] Yao Yanbin, Liu Dameng, Cai Yidong, et al . Advancedcharacterization of pores and fractures in coals by nuclearmagnetic resonance and X-ray computed tomography [J]. Science China: Earth Science, 2010,40 (11):1598-1607.
This paper bring up two models of physical properties of reservoir,includeing a multi parameter fitting model and a BP neural network which are proposed to predict the nonlinear reservoir parameters. It is aimed to solve the complex structure of the formation and the low interpretative precision of porosity and permeability in Putaohua reservoirs of Weixing Oilfield Yaojia formation. The two models are tested with 8 coring wells in the study area.The results show that the evaluated method of reservoir physical parameters based on BP neural network is the best.The mean absolute error of porosity is 1.33%. The mean relative error of permeability is 37.61%.This model can effectively solve the problem of the low interpretative precision of porosity and permeability in the study area. It can provide a strong guarantee for the evaluation of oil field reserves, exploitation and exploitation.
Key words: - BP neural network, multi parameter fitting; Putaohua reservoirs, physical parameters.
[1] Huangwei,Wang Yafeng,Wangge,etal.Formation condition and distribution rule of multiple type oil pools of Satellite oilfield in the northern part of Songliao Basin,Petroleum Geology and Oilfield Development in Daqing,23(5),2004,30-33.
[2] Zhang Shiqi,Zhang Meiling,Zengke.Researches on the oil-water distribution laws of the reservoirs by complex pore structure parameters,Petroleum Geology and Oilfield Development in Daqing, 32(2), 2013,71-74.
[3] Gao Ming,Zhao Xin,Song Kaoping, etal.The microcosmic affecting factors study of water flooding efficiency by multiple regression analysis.Mathematics in Practice and theory, 45(17),2015,127-131.
[4] Chen Rong, Wang Feng. Application of MATLAB-based of BP neural network in reservoir prediction, Well Logging Technology, 33(1), 2009,75-78.
[5] Zhao Haibin. Application of MATLAB.(Bei Jing,The Press of Tsinghua,2012).
In this paper, we first study the LMS algorithm, and then study the normalized LMS algorithm.On the
basis of the normalized LMS algorithm, a new iterative formula is derived and modified NLMS algorithm,
which can overcome the shortcoming of the input signal autocorrelation is too small lead to the step value too
large.The simulation results show that the convergence speed of the modified normalized LMS algorithm is
faster than that of the LMS algorithm.Moreover, the convergence rate of this method is obviously accelerated
with the increase of the step value factor, and the distortion is very small.
Key Words:Adaptive Filter Algorithm;LMS;NLMS;
The paper studied the typical off grid wind power generation system. And then, the paper researched on the control strategy of the single phase inverter, especially studied the PID control and double closed-loop control. At last, the paper simulated the control effect of PID control and double closed-loop control with MATLAB software. In particular, the double closed-loop control system has been tested again and again to obtain a set of ideal parameters. In order to simulate the sudden increase and decrease of user load in power generation system, we suddenly add the disturbance in the simulation system. The results show that the double closed-loop control system has better steady precision and has strong robustness to load disturbance.
Index terms: inverter, PID control, double closed-loop control, wind power generation system.
In this paper a classical rod that is slender and cylindrical in shape, subjected to free longitudinal vibrations, is considered. The rod is assumed to be accreting in length as well as in cross-sectional area. The rod's growth is proportional to time. The vibrating rod is configured such that it is fixed at the left end and free at the other end. A boundary-value problem is then derived consistent with the dynamics of the rod as well as the boundary conditions as per the configurations of the rod. The change of variables is introduced so that the derived partial differential equation could be solved with much ease. This derived equation is further simplified by introducing small parameters to effect the slow growth of the rod. The equation is then solved using the numerical method, the Galerkin- Kantorovich method. It is shown in the solution of this differential equation that there is an increase in the amplitude of vibration at any given mode of vibration. It is further shown that the amplitude of vibration decreases as we move from one mode of vibration to the next one.
Keywords: Accreting rod, amplitude of vibration, free longitudinal vibrations, Garlekin-Kantorovich method, resonance
[1] M Shatalov, AV Manzhirov., &I Fedotov, On the resonant behaviour of longitudinally vibrating accreting rods. SACAM2012, 2012.
[2] M Shatalov, I Fedotov, G Lekalakala &J Bidie, Quasi-resonance behaviour of viscoelastic rods subjected to free and forced longitudinal vibrations. IUTAM2015. Moscow, Russia, 2015.
[3] AD Polyanin, AV Manzhirov, HandBook of Mathematics for Engineers and Scientists. Chapman & Hall/CRC, Boca Raton, Florida, USA, 2002.
[4] MLG Lekalakala, M Shatalov&I Fedotov, The Behavioural Pattern of the Longitudinally Vibrating Rod that is Accreting in Cross-Sectional Area. IUTAM2015, Moscow, Russia 2015.
In this paper we attempt to show the limit theorems for fuzzy Markov chains. Using stationary distribution we establish conditions for the existence of a Fuzzy Markov chain.
Key Words: Fuzzy Markov chain, Fuzzy Transition Probability and Fuzzy functions.
The dynamic characteristics of the bearing will be complex and nonlinearity when the bearing failure and the fault signal will also exhibit non-stationary. This paper presents a kind of rolling bearing feature extraction method based on the empirical mode decomposition (EMD) and instantaneous power spectral entropy, since the EMD decomposition is adaptive and suitable for processing the nonlinearity and non-stationary signal. The steps of the method are as follow: first decompose the bearing signal into a finite number of IMF components, second process these components with power spectrum, third calculate the information entropy of the power spectrum, at last take the power spectrum entropy as the feature vector, and classify the failures into different type by support vector machine (SVM). Experiments show that 96.25% of the classification is correct which verify that the feature extraction method proposed in this paper is feasible and effective.
Key Words: EMD, SVM, Fault Diagnosis of Bearing
[1] Lin Jing, Qu Liangsheng. Feature Detection and Fault Diagnosis Based on Continuous Wavelet Transform [J]. Chinese Journal of Mechanical Engineering, 2000,36(12):65-100.
[2] Zhao Lifeng, Zhou Chengeng. Fault Diagnosis Based on EMD and Neural Networks [J]. Journal of Ocean University of Qingdao (Natural Science), 2004(2):297-302.
[3] Hu Shousong, Wang Yuan. Support Vector Machine Based Fault Diagnosis for Nonlinear Dynamics System [J]. Control and Decision, 2001,5:617-620.
[4] Xiao Jianhua, Fan Keqing, Wu Jinpei etc. A Study on SVM for Fault Diagnosis [J]. Journal of Vibration, Measurement & Diagnosis, 2001,21(4):258-262
[5] VAPNIK V N. Statistical learning theory[M]. Berlin: Springer-Verlag,1988:123-167.
Using seismic sedimentology and seismic geomorphology, depicting the system of the second section of Damoguaihe guoup formation of the Beier depression in a basin.The main data of this research are lithologic profile data,log data and 3D seismic data,using the stratigraphic section image describe the sedimentary characteristics of sequence stratigraphy and complex sedimentary system,and identify three types of sedimentary system:the meandering river delta system、the braided river delta system、lake system. Finally according to the seismic sedimentology section of composite divided into three facies belt.In the process of practical application,Firstly,consider the parameters on the formation of the seismic data volume itself used slice image quality,then combining structure and sedimentary for the purpose of the study area selected interval control function,based on the analysis to discuss the control of quality parameters of strata slice imaging. The practical application of this study shows that:in the blank area of the lack of drilling data, the stratigraphic section can effectively predict the distribution of sand bodies in the delta,has progressive significance to the development of lithologic reservoir.
Keywords:Beier depression、Dmoguaihe group、Stratigraphic framework、Seismic deposition、Sedimentary characteristics
[1] Linzhengliang,Wanghua. Current status and progress of seismic sedimentology[J]. Geological science and technology information,2011,29(2):418-419.
[2] Zenghongliu,Seismic sedimentology in China: Retrospect and Prospect[J]. Journal of deposition, 2011,29(3): 61-70
[3] Zhochao,Liuzhanguo. The application of seismic sedimentology in turbidite sand body recognition.[J]. Special oil gas reservoir, 2014,21(4):59-61.
[4] Dongchunmei,Zhangxianguo,Linchengyan. The concept, method and technology of seismic sedimentology [J]. Journal of deposition, 2006,24(5):700-703.
[5] Wangkaiyan,Xuqingyan. Overview of seismic attribute analysis technology [J]. Progress in Geophysics, 2013,28(2):816.
In this study,based on the research of strata,structure,sedimentary facies and sand body distribution,the reservoir inversion technique is used to study the seismic results,combined with sedimentary facies and sand body characterization,and implement the reliability analysis of seismic inversion results based on the results of seismic inversion.
Keywords: - Reservoir prediction,Geological statistics inversion,Reliability evaluation
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