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Finite element technique in predicting porosity and permeability of


Element Equations Predicting the implementation method and the finite element equation 1.5.1 solution is a key step finite element technique, the main calculations are concentrated here, which determines the stability of the interpolation solution, reliability and practicality. Commonly used methods for solving finite element equations change in bandwidth,[link widoczny dla zalogowanych], elimination method,[link widoczny dla zalogowanych], wavefront method, over-relaxation method,[link widoczny dla zalogowanych], relaxation method in which ultra-high accuracy, variable bandwidth,[link widoczny dla zalogowanych], low pin elimination method accuracy. In order to better approximate the true solution values, we use the overrelaxation method. Overrelaxation method for the realization of the formula: a \ Method; 1 <n <2, said overrelaxation method. I.5.2 parameters measured to achieve in the triangle mesh granted, the predicted parameter values 【points, is obtained from the previous section, the weight coefficient of each node, respectively, by reservoir parameters and then sum, that was predicted point value of the parameter: 'U = ΣH (7). J a compiled application】 1.6 5,8 l999 oil recovery technology case study on June 2 for the establishment of porosity and permeability prediction model, selected four Luojia Oilfield reservoir of information on the study. Luo oilfield is a coastal sand four rapid accumulation of alluvial fan conglomerate bodies. It is Chenjiazhuang convex gravity flow deposits from the lake spilled out in to the product, so the reservoir is mainly mixed textures of non-conglomerate, and poorly. strong heterogeneity, porosity and permeability big changes. This study extracted the Law House District 47 well porosity and permeability data to predict a sample. of which 12 wells with the actual data to test the results. First, under the core and logging data, read the information sheet casting porosity and average permeability, the establishment of the database. On this basis, a finite element model. of c language designed with computer applications . jurisdiction by the data file * tL dry degrees, permeability data, ultra-orange flip through the finite element method for solving equations, the establishment of the porosity, the plane distribution of permeability. Case study steps (porosity for example); (1 ) read each well point the geodetic coordinate values and porosity values. (2) follow the meshing principles of the study area wells point change. and find the coordinates of the point size L, L., L,. to i 3,) ll ,) 2 (,) 0 (3) structural basis function (・) = L1Ut + LzU2 + L3U; u】, U2, U is the (1,2,3) dry hole at the point scale value. (4) Find the.) at the porosity value: in the matrix A × = F, the calculated weight coefficient a () = A a × Ff the predicted value of the porosity of points U 'a: u.. | 1 (5) thus obtained the degree of any point value holes gland, called contour drawing program, draw the contour map of porosity. In the case studies, data from the sample well established distribution prediction model validated using test well data. predict dry hole dry holes with the measured degree of degree of comparison, the average relative error is 9.4oA} predicted permeability compared with the measured permeability The average relative error is 14.6. Their correlation coefficients were 0.9 and 0.94, and the cross plot ideas than on the test wells densely distributed in 45. line on both sides (as shown in Figure 1 Figure 2) This illustrates the predicted value and actual value of the good agreement. At the same time drawing the contour maps (eg Figure 1, Figure 2). Real poured study shows that the finite element technique is a planar distribution can be used to predict the new technology Figure 1. porosity measurement and prediction of porosity comparison chart 6 No. 2 to Xiaoli et al: Finite element techniques in predicting the reservoir even porosity and permeability of 533 conclusions and recommendations (1) finite element method is a kinds of quantitative research side of a law. This technical approach is unique in that the number of learning models do not need to set up. Instead, discrete reservoir parameters, structural interpolation l. basis functions. the variables solved by numerical methods, increased pre: the reliability of test results. by example to be verified. therefore. It 'is a feasible method. (2) In this paper, the finite element method used to predict reservoir properties and the plane distribution . But if Flat reservoir properties vary widely, you should take into account the parameters of their structural and variability. So in the finite element method can be considered on the basis of the structural parameters and their variability, the introduction of the nested variogram in order to reduce relative error. _ (1o) instances of Figure z comparison chart permeability and prediction of permeability Reference 1 LI Rong-hua. FENG Guo worry. numerical solution of differential equations. People's Education Publishing House .1980 z Jiang Li-shang, Pang Yuan. finite element method and its theoretical basis. People's Education Press, 1979 This editorial Front Tongan ● ___-_ ● A ● A m (continued on page 60) with l House of Sand Mo J Wong flutter test hole a shower of blood iI s Note cattle; validation wells JI under the pound, according to the actual porosity
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