The focus of this paper is to study the characteristic visualization of CO₂ immiscible flooding in low permeability natural core. Particle image velocimetry (PIV) method ...
Abstract:
Video image processing system is closely related to the development of modern science and technology. So visualization research is more and more important in the experime...Show MoreMetadata
Abstract:
Video image processing system is closely related to the development of modern science and technology. So visualization research is more and more important in the experiment. The main purpose of this paper is to study the feature visualization of CO2 immiscible flooding seepage image of low permeability natural core. In this paper, particle image velocimetry PIV method and immiscible drive equation are used to realize the image acquisition of immiscible drive, and this paper is explored through the experiment of CO2 immiscible drive percolation characteristics, analysis of immiscible zone migration characteristics, description and analysis of unsteady CO2 immiscible drive experiment, and the production and analysis of percolation image visualization micro model. And in the result, the residual oil saturation of the heterogeneous model is 15.5% and 13.7%, which is not significantly higher than that of the homogeneous model, and the residual oil saturation is 35%. The conclusion is that the immiscible co permeability and the relative permeability curve of the reservoir with low viscosity and low permeability in the image visualization study. It makes a great contribution to the research of image visualization in the industrial development of low permeability natural core and improves the industrial production in the future.
The focus of this paper is to study the characteristic visualization of CO₂ immiscible flooding in low permeability natural core. Particle image velocimetry (PIV) method ...
Published in: IEEE Access ( Volume: 8)