Non-steady-state Relative Permeability Data Management, Analysis And Processing System

With the development of the technology of the exploitation of oil fields, the technology of water injection flooding has been widely applied to oil production in oil fields, as a result, the original features of reservoir has changed, and also makes the explaintation and evaluation of reservoir are difficult. In present, the calculation method at home and abroad and are based on oil and water relative permeability, by analyzing the water in the reservoir of oil and oil and water relative permeability in the process of water injection flooding, and established the corresponding mathematical model.Oil-water relative permeability is an important indicator of evaluation of the reservoir,and widely used in reservoir engineering calculation. Oil-water relative permeability is usually can be calculated by relatively steady-state and non-penetration.According to the comparison of several non-steady-state method to calculate the relative permeability of the oil-water, our design taking into account the commonly used methods of calculation, and provided more precise non-steady-state approach.Our data processing based on the following six stages: basis of data processing, data of interpolation processing, the moisture content of the data tables for data processing, data sheets with dialysis curve data processing, moisture and water seepage curve with a comprehensive data sheet data processing, data processing of moisture.The sampling data is discrete,and there is a certain degree of error, it was proved by repeated experiments that Aitken interpolation can be effective in reducing errors, and can make the results of the data closest to the actual situation,so,we use the improved Aitken interpolation to reduce the error in the data processing phase. In reading the point of intersection with seepage handling stage, using cubic spline algorithm connecting the discontinuous point to the smooth curve, at the same time, using the least squares fitting index, Log-fitting and polynomial fitting in infiltration point calculations.The data obtained by non-steady-state method are more reliable, but the mathematical treatment is difficult and difficult to calculate by hand. The main results of this design including the mathematical model analysis of unsteady state relative permeability algorithm, the conversion between the mathematical models and computer models, the curve fitting algorithm of discrete data, the curve smoothing algorithm, the formula for coordinates of the intersection curve fitting and so on. At the same time,we developed a set of computer software system including basic data management system, the basis data analysis systems, the curves of discrete data processing system, the conclusions of the data analysis system etc, realized the computer simulation of unsteady state relative permeability data ,and provided automation tools for the application of the technology of water injection flooding in the investigation oil field. Our program has a wide application,after repeated practice, it has well effects.