基于FastCAE的油气藏模拟黑油模型仿真分析应用

Simulation and Analysis Application of Black oil Model in Oil and Gas Reservoir Simulation Based on FastCAE

在油藏数值模拟领域,黑油模型是最为成熟和广泛应用的模型,成熟地掌握黑油模型的求解、仿真模拟技术对于油气田开发生产具有极强的现实意义.为了加强对石油渗流规律的认识,本文首先通过Python语言实现了黑油模型,并通过Bendiksen、W&G、MAE三种算法进行对比;其次,使用Pyinstaller封装技术将Python语言模型转换成.exe格式的黑油模型数值求解器;最后,将.exe格式的黑油模型求解器引入到FastCAE开源平台中,实现油田场景下可使用的黑油模型的模块化开发.

In the field of numerical simulation of oil reservoir,black oil model is the most mature and widely used model,and the mature mastery of black oil model solution,simulation and simulation technology is of great practical significance for oil and gas field development and production.In order to strengthen the understanding of oil seepage law,this paper firstly implements the black oil model through Python language and compares the three algorithms of Bendiksen,W&G and MAE;secondly,we use Pyinstaller to convert the Python language model into a numerical solver of the black oil model with the format of.exe;finally,the.exe format black oil model numerical solver is introduced into the FastCAE open source platform to realize the modular development of the black oil model that can be used in oil field scenarios.