非稳态相渗数据管理分析处理系统
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摘要
随着油田开发技术的不断发展,注水开采储层已广泛应用到油田的采油中来,由于水的注入改变了原有储层的特性,同时也使得储层的解释、评价产生了困难。目前国内外都是采用计算油水相对渗透率的方法,通过分析储层在注水过程中油水的渗透规律,建立相应的数学模型进行的。
油水相对渗透率是评价油藏的一个重要指标,它在油藏工程计算中的应用十分广泛。通常油水相对渗透率可用稳态和非稳态两种方法求得。
设计根据几种非稳态法计算油水相对渗透率的方法比较,既考虑了常用的处理算法,又提出了更加精确的非稳态处理方法。数据处理分为基础数据处理、插值数据处理、含水率数据表数据处理、相渗曲线数据表数据处理、含水率及相渗曲线综合数据表数据处理、含水率数据处理六个阶段。
采样数据为离散的抽样数据,存在一定的误差,经多次实验证明,埃特金插值能够有效地减少误差,并且能够使结果数据最接近实际情况,所以在插值数据处理阶段,采用改进的埃特金插值降低误差。在读相渗交点处理阶段,采用三次样条算法将不连续的点连接为光滑曲线,同时又采用最小二乘法的指数拟合、对数拟合以及多项式拟合进行相渗交点的计算。
非稳态法获取的数据较为可靠,但数学处理难度较大,不易手工计算。本设计主要完成非稳态相渗算法的数学模型分析、数学模型与计算机模型转换、离散数据的曲线拟合算法、曲线的平滑处理算法、拟合曲线交点坐标计算公式等。同时开发出一套包括基础数据管理系统,基础数据分析系统,离散数据的曲线处理系统,数据结论分析系统等内容的计算机软件系统,实现非稳态相渗数据的计算机仿真,为油田采用注水驱油技术在勘测开发过程中的应用提供自动化分析工具。其适用范围广,经多次应用实践,效果良好。
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.
油水相对渗透率是评价油藏的一个重要指标,它在油藏工程计算中的应用十分广泛。通常油水相对渗透率可用稳态和非稳态两种方法求得。
设计根据几种非稳态法计算油水相对渗透率的方法比较,既考虑了常用的处理算法,又提出了更加精确的非稳态处理方法。数据处理分为基础数据处理、插值数据处理、含水率数据表数据处理、相渗曲线数据表数据处理、含水率及相渗曲线综合数据表数据处理、含水率数据处理六个阶段。
采样数据为离散的抽样数据,存在一定的误差,经多次实验证明,埃特金插值能够有效地减少误差,并且能够使结果数据最接近实际情况,所以在插值数据处理阶段,采用改进的埃特金插值降低误差。在读相渗交点处理阶段,采用三次样条算法将不连续的点连接为光滑曲线,同时又采用最小二乘法的指数拟合、对数拟合以及多项式拟合进行相渗交点的计算。
非稳态法获取的数据较为可靠,但数学处理难度较大,不易手工计算。本设计主要完成非稳态相渗算法的数学模型分析、数学模型与计算机模型转换、离散数据的曲线拟合算法、曲线的平滑处理算法、拟合曲线交点坐标计算公式等。同时开发出一套包括基础数据管理系统,基础数据分析系统,离散数据的曲线处理系统,数据结论分析系统等内容的计算机软件系统,实现非稳态相渗数据的计算机仿真,为油田采用注水驱油技术在勘测开发过程中的应用提供自动化分析工具。其适用范围广,经多次应用实践,效果良好。
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.
引文
1 塔雷克艾哈迈德.冉新权(译).油藏工程手册[M].Reservoir Engineering HANDBOOK(第三版).北京:石油工业出版社.2007.
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6 邓建中 刘之行.计算方法(第二版).西安交通大学出版社.2001.
7 赵阳 曲志浩.真实砂岩微观模型活性水驱油实验研究[J].西北地质.
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12 曹全芳 姚峰 等.特低渗断块油藏注水实验评价及矿场实验分析[J].西南石油学院学报,2005,27(1):48-51.
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16 赵会群,王国仁,高远.软件体系结构抽象模型[J]计算机学报,2002,(07).
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19 袁永祥.日、美计算机软件质量管理的现状[J].中国质量,1995,(03)
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21 沈志鸿.高级语言程序设计中数值量的数值范围分析[J].计算机应用研究,1996,(04).
22 数值范围的表示法[J].液晶与显示,2008,(01).
23 王一宾,韩承双.计算机体系结构与软件体系结构[J].安徽建筑工业学院学报(自然科学版),2005,(01).
24 王科锋,柴军瑞.VB和FORTRAN混合编程在渗流数值分析的应用[J].红水河,2008,(02).
25 李晓军,朱合华,解福奇.地下工程数字化的概念及其初步应用[J]岩石力学与工程学报,2006,(10).
26 佟彪 主编.VB语言与测量程序设计.中国电力.2007.
27 洛迈克斯.VB与VBA技术手册.中国电力出版社.2002.5.
28 纳克维兹等著、申晓旻译译者:申晓旻.VB.NET调试技术手册.清华大学出版社.2003.2.
29 朱少民.全程软件测试.电子工业出版社 2007-9-1.
30 朱少民.软件过程管理.清华大学.2007.3.
2 黄代国.油藏岩心分析和采油机理实验论文集[M].北京:石油工业出版社.2006.
3 Robert T.Futrell(美).袁科萍(译).高质量软件项目管理[M].北京:清华大学出版社.2006.
4 Roger S.Pressma(美).梅宏(译).软件工程实践者的研究方法[M].北京:机械工业出版社 2005.
5 长庆石油勘探局油井采用数据处理算法.长庆石油勘探局.2006.
6 邓建中 刘之行.计算方法(第二版).西安交通大学出版社.2001.
7 赵阳 曲志浩.真实砂岩微观模型活性水驱油实验研究[J].西北地质.
8 李庆扬.数值分析[M](第4版).北京:清华大学出版社.2001.
9 王建华.低渗透油田超前注水研究[J].断块油气田,2005,12(3):53-54.
10 令永刚 杜寻社 等.特低渗透油藏注水开发技术研究[J].江汉石油学院学报,2003,25(增刊下):137-139.
11 张增虎.如何有效的开发低渗透油藏[J].内蒙古石油化工,2005,(3).
12 曹全芳 姚峰 等.特低渗断块油藏注水实验评价及矿场实验分析[J].西南石油学院学报,2005,27(1):48-51.
13 巴拉赫.兰宝著.车皓阳.杨眉译.UML面向对象建模与设计(第2版).人民邮电出版社.2006.
14 实时UML——开发嵌入式系统高效对象.Bruce Powel Douglass著.尹浩琼 欧阳宇译.中国电力出版社.2003.
15 面向对象与传统软件工程(原书第5版)Stephen R.Schach.韩松等译.机械工业出版社.2003年9月.第一版.
16 赵会群,王国仁,高远.软件体系结构抽象模型[J]计算机学报,2002,(07).
17 计春雷.软件产业中软件质量与成本的度量分析[J].生产力研究,2007,(24).
18 石柱,周新蕾,张江南.软件测试项目量化管理实践[J].质量与可靠性,2000,(03)
19 袁永祥.日、美计算机软件质量管理的现状[J].中国质量,1995,(03)
20 徐仁佐,张良平,陈波,张大帅.基于模块开发控制的一个软件可靠性分配模型[J]武汉大学学报(理学版),2003,(01).
21 沈志鸿.高级语言程序设计中数值量的数值范围分析[J].计算机应用研究,1996,(04).
22 数值范围的表示法[J].液晶与显示,2008,(01).
23 王一宾,韩承双.计算机体系结构与软件体系结构[J].安徽建筑工业学院学报(自然科学版),2005,(01).
24 王科锋,柴军瑞.VB和FORTRAN混合编程在渗流数值分析的应用[J].红水河,2008,(02).
25 李晓军,朱合华,解福奇.地下工程数字化的概念及其初步应用[J]岩石力学与工程学报,2006,(10).
26 佟彪 主编.VB语言与测量程序设计.中国电力.2007.
27 洛迈克斯.VB与VBA技术手册.中国电力出版社.2002.5.
28 纳克维兹等著、申晓旻译译者:申晓旻.VB.NET调试技术手册.清华大学出版社.2003.2.
29 朱少民.全程软件测试.电子工业出版社 2007-9-1.
30 朱少民.软件过程管理.清华大学.2007.3.