Abstract
The results of visualization experiments primarily provide descriptions of local features or a general conclusion because, to obtain accurate numerical results, it is necessary to count each small point in the visual image and calculate the remaining oil based on the color. There is currently no method that can automatically and accurately calculate the recovery factor based on a visualized image. Computer graphics can be used to solve this problem, and Matlab software with its powerful image calculation functions was used to analyze and calculate images of visualization experiment processes. This article first summarizes the development and respective characteristics of the visual experiment evaluation of oil displacement agents. Then, the corresponding relationship between the actual oil displacement recovery parameters and the image parameters is introduced in detail, and a calculation formula for the visual image recovery factor is summarized. Finally, using the quantitative visual experimental results from different oil displacement agent injection methods as an example, we compared the different oil displacement processes and their recovery. The different characteristics of the two injection methods were evaluated, and the feasibility of the calculation method was verified. This method provides data support for interpreting visual experimental processes and a description of the experimental results. This provides a clear and unified calculation method for the recovery factors of oil displacement processes, which often involve many difficult-to-compare processes.
Highlights
At present, most oil fields in China have entered the tertiary oil recovery period, and it is necessary to inject oil-displacing agents into oil and gas formations to improve oil recovery; the evaluation of oil-displacing agents is important and is usually divided into two stages (Pei et al, 2017; Li et al, 2018; Wu et al, 2018)
The two visualization glass plate models were designed according to the stratigraphic structure and parameters of the reservoir
The corresponding positions of the simulated formation structure were aligned between the two glass plates, and the four sides of the simulated formation plate were sealed with a rubber cord with a diameter of 0.3 cm
Summary
Most oil fields in China have entered the tertiary oil recovery period, and it is necessary to inject oil-displacing agents into oil and gas formations to improve oil recovery; the evaluation of oil-displacing agents is important and is usually divided into two stages (Pei et al, 2017; Li et al, 2018; Wu et al, 2018). A transparent glass plate experiment was observed through a lens that provided 20-times magnification and allowed the experiment process video to be recorded This method could show the increased production effect of oil displacement agent flooding compared with water flooding, and show some of the subsequent effects of the oil displacement system on the formation. Matlab’s image processing feature was used to analyze visualization experiments by combining the experimental process of the visual physical model experiment with the specific numerical results calculated through mathematical model analysis This provides a clear and unified calculation method for a large number of difficult-to-compare oil displacement processes. It can conveniently compare the different effects of various quantitative experiments and promote the development of evaluation techniques using visual models. The influence of different injection methods on the oil displacement effect of the oil-displacement agent was evaluated
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