产品展厅>>项目研发>>水驱油藏数值试井方法研究

数值试井是利用井底压力、反演地层参数、压力及饱和度分布的重要方法,在油田注水开发中主要解决地层压力评价、地层流体参数分布等问题。考虑到压力数据采样间隔小,因而在网格划分、时间步长、计算稳定性等方面要求更高,不能完全采用油藏数值模拟技术,本项目研究适合数值试井的非结构网格划分技术、离散及线性方程组求解技术及可视化技术。同时也研究了油水两相流数值试井模型建立方法,地层参数计算方法,最终形成数值试井分析软件。

非结构网格数值模拟技术:建立适合数值试井的非结构网格划分方法并程序化,可以描述复杂油藏边界、断层等信息,满足瞬态压力求解、试井分析需要。

实现输入参数及解释参数可视化(输入参数包括孔隙度、渗透率、有效厚度等,解释参数包括地层压力、油(水)饱和度、地层流体粘度等),提供输入数据的分布图,提供输出参数的随时间、空间变化的三维视图。

油水两相流数值试井模型建立。

建立离散及联立求解方法及大型稀疏矩阵的线性方程组求解方法并程序化。

软件使用非结构网格数值模拟技术,能够建立油水两相流数值试井模型,同时对多井试井资料进行解释分析,技术先进,有很强的竞争优势。

Products>>Project Development>>Study on Numerical Well Testing Method of Water Flooding Reservoir

The numerical well testing is an important method of using the bottom hole pressure and the inversion of the formation parameters, pressure and saturation distribution, which mainly solves the problems of formation pressure evaluation, formation fluid parameter distribution in the oil field water injection development. Considering that the sampling interval of the pressure data is small, the requirements of the grid division, time step, calculation stability are higher, and the reservoir numerical simulation can not be fully adopted, this project is suitable for the non-structural grid division technology, discrete and linear equations solving techniques and visualization techniques of the numerical well testing. At the same time, the method for establishing the numerical well testing model of the oil-water two-phase flow and the calculation method of the formation parameters are also studied, and the numerical well testing analysis software is finally formed.

Non-structural mesh numerical simulation technology: The non-structural grid division method suitable for numerical well testing is established, and the information of complex reservoir boundary, fault and other information can be described, which can meet the requirements of transient pressure solution and well testing analysis.

Visualization of input parameters and interpretation parameters (input parameters include porosity, permeability, effective thickness, etc.), interpretation parameters include formation pressure, oil (water) saturation, formation fluid viscosity, etc.), distribution diagram of input data, the three-dimensional view of the temporal and spatial variation of output parameters are provided.

The numerical well testing model of oil-water two-phase flow is established.

The solution methods of large sparse matrix linear equation groups and discrete and simultaneous equations are built and programmed.

By using unstructured grid numerical simulation technology, the software can establish the numerical well testing model of oil-water two-phase flow, and interpret and analyze the multi-well testing data at the same time, which is advanced in technology and has a strong competitive advantage.