Minimum Miscibility Enrichment Estimation via Slim Tube Simulation
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Solution Overview
Problem
Current methods for evaluating Enhanced Oil Recovery (EOR) potential in reservoirs are time-consuming and often yield inaccurate or incomplete results, particularly in estimating minimum miscibility enrichment for gas flooding operations.
Innovation Solution
A method involving slim tube simulations to determine minimum miscibility pressure and recovery factor equations, allowing for the calculation of recovery factors and minimum miscibility enrichment for various injectants, which are then used to rank reservoirs for EOR potential.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If classical reservoir engineering techniques are used to evaluate EOR potential, then field-specific accuracy can be achieved, but the evaluation process becomes very time-consuming
Solution Approach 1:
The patent creates simplified correlation models that replicate the complex numerical simulation results. By developing analytical correlations based on limited simulation data, the method produces quick estimates that copy the essential behavior of full numerical models without requiring the computational resources or time of complete simulations.
Solution Approach 2:
The patent performs numerical simulations only for specific key cases to establish correlation parameters, rather than running full simulations for every evaluation scenario. This partial application of complex modeling provides sufficient accuracy for screening while dramatically reducing overall evaluation time.
2Loss of information
If numerical methods are used for field-specific EOR evaluation, then detailed results can be obtained, but the process yields incomplete results for screening multiple candidates
Solution Approach 1:
The patent develops universal correlation models that can evaluate multiple reservoir candidates using the same framework. The correlation equations are designed to work across different field conditions, allowing a single method to serve both detailed evaluation and broad screening functions simultaneously.
Solution Approach 2:
The patent segments the evaluation process into two stages: a rapid screening stage using correlation models to evaluate many candidates, and a detailed analysis stage using numerical methods for selected prospects. This segmentation allows comprehensive evaluation of multiple candidates while maintaining the option for detailed study of the most promising ones.
3Reliability
If traditional EOR evaluation methods are used, then comprehensive analysis can be performed, but the selection of EOR candidates becomes inefficient
Solution Approach 1:
The patent performs preliminary evaluation using correlation models to identify promising candidates before committing resources to detailed numerical analysis. This preliminary screening action filters out unsuitable candidates early, ensuring that comprehensive analysis is applied only to prospects with high potential, thereby improving both efficiency and reliability of candidate selection.
Data Source
AI summary
A method for estimating minimum miscibility enrichment (MME) for an injectant used in gas flooding of a reservoir at a given operating pressure comprising performing a plurality of slim tube simulations for the reservoir, determining minimum miscibility pressure (MMP) for a plurality of injected gases, creating a plot of recovery factor (RF) vs. 1−(MMP−P)/MMP wherein P is the operating pressure of the reservoir having at least one of the plurality of injected gases, wherein 1−(MMP−P)/MMP is a dimensionless pressure, wherein the plot has a y-intercept and slope, obtaining a recovery factor equation RF=i+s(1−(MMP−P)/MMP) wherein i is the y-intercept and s is the slope, determining a value for i, determining a value for s and calculating the recovery factor.