油气微渗漏扩散物理实验的再现及数值模拟
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摘要
来自油气藏的烃类物质的微渗漏扩散是普遍存在的。这里主要进行油气微渗漏扩散,在计算机上的物理实验再现过程和三维数值模拟。首先把实验提供的稀疏的数据,通过Kriging插值算法计算,得到三维重建中所需具有规则、分布均匀特点的数据,所得效果较好,并且算法编写简单、容易理解。其次,建立一种关于油气微渗漏扩散的三维数学模型,进行数值模拟,较好地仿真了演示油气微渗漏随时间扩散的过程。最后,简单地探讨了虚拟现实建模语言(VRML)在三维可视化中的运用。
In the reservoirs,the phenomenon of the micro seepage is widespread.This paper mainly carries out a reconstruction and a numerical simulation of the oil and gas micro seepage proliferation of physics experiments on the computer.First of all,Kriging algorithm is used as the 3D interpolation method to convert the insufficient and random-arrayed data set provided by the experiments into sufficient grid data set which the three-dimensional reconstruction needs.Secondly,a three-dimensional mathematical model for simulating the micro seepage proliferation process is described.And the numerical results are compared with the reconstruction results.The comparison and the analysis indicate that this model is fairly effective.Finally,the Virtual Reality Modeling Language(VRML)is simply used in the three-dimensional visualization of oil and gas micro seepage proliferation.
In the reservoirs,the phenomenon of the micro seepage is widespread.This paper mainly carries out a reconstruction and a numerical simulation of the oil and gas micro seepage proliferation of physics experiments on the computer.First of all,Kriging algorithm is used as the 3D interpolation method to convert the insufficient and random-arrayed data set provided by the experiments into sufficient grid data set which the three-dimensional reconstruction needs.Secondly,a three-dimensional mathematical model for simulating the micro seepage proliferation process is described.And the numerical results are compared with the reconstruction results.The comparison and the analysis indicate that this model is fairly effective.Finally,the Virtual Reality Modeling Language(VRML)is simply used in the three-dimensional visualization of oil and gas micro seepage proliferation.
引文
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[2]洪源,李录明,罗省贤.基于体绘制技术的三维地震数据可视化[J].物探化探计算技术,2007,29(1):24.
[3]焦养泉,朱培民,雷新荣,等.地学空间信息可视化技术应用研究[J].地质科技情报,2005,24(1):1.
[4]李志林,朱庆.数字高程模型[M].武汉:武汉大学出版社,2001.
[5]吴学文,晏路明.普通Kriging法的参数设置及变异函数模型选择方法[J].地球信息科学,2007,9(3):104.
[6]付广,吕延防.天然气扩散作用及其研究方法[M].北京:石油工业出版社,1998.
[7]张建世,刘新华,左东,等.多层石油运移聚集模拟技术及应用[J].油气地质与采收率,2001,8(5):35.
[8]袁益让.三维油水运移聚集数值模拟的交替方向格式和分析[J].数学物理学报,1999,19(2):196.
[9]周传德,秦树人,尹爱军.科学可视化理论及智能虚拟显示系统[M].北京:科学出版社,2007.
[10]颜辉武,祝国瑞.地下水的体视化研究[M].武汉:武汉大学出版社,2004.
[11]孙家长,杨长贵.计算机图形学[M].北京:清华大学出版社,1994.
[12]严子翔.VRML虚拟现实网页语言[M].北京:清华大学出版,2001.
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