CO2 Plume Spatial-Moment Classification in Heterogeneous Reservoirs
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Solution Overview
Problem
Current methods for evaluating CO2 plume distribution patterns in geological storage fail to account for horizontal heterogeneity, leading to inaccurate assessments of storage capacity and increased leakage risks due to the complexity of permeability heterogeneity.
Innovation Solution
A method based on image spatial moment theory is developed to evaluate CO2 plume distribution patterns by establishing a geological model, calculating spatial moments, and classifying plume patterns using dimensionless parameters, providing a quantitative evaluation of CO2 storage potential and leakage risk.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If traditional classification methods are used to evaluate CO2 plume distribution, then the evaluation process is simple, but the classification is insufficient to fully summarize the distribution and migration characteristics of CO2 plume
Solution Approach 1:
The patent introduces spatial moment parameters (first-order moment for centroid position, second-order moment for distribution spread) to quantitatively characterize CO2 plume distribution patterns. By changing from qualitative classification to quantitative parameter-based classification, the method achieves more comprehensive pattern recognition while maintaining systematic evaluation complexity
Solution Approach 2:
The patent adds a new dimension of analysis by incorporating horizontal heterogeneity parameters (horizontal correlation length, vertical correlation length) into the classification framework. This transforms the evaluation from considering only vertical convection to including both horizontal and vertical migration characteristics, enabling more comprehensive pattern classification
2Device complexity
If the influence of horizontal heterogeneity is neglected, then the evaluation model is simpler, but the accuracy of CO2 storage capacity assessment is reduced
Solution Approach 1:
The patent applies local quality by introducing spatially varying permeability fields with different horizontal and vertical correlation lengths to represent local heterogeneity characteristics. This allows the model to capture localized variations in CO2 plume migration while maintaining a systematic framework for evaluating storage capacity across different geological conditions
3Reliability
If detailed characterization of underground reservoir heterogeneity is conducted, then the plume migration characteristics are better understood, but the complexity of the evaluation system increases
Solution Approach 1:
The patent replaces complex qualitative analysis of plume migration with quantitative image processing methods. By using spatial moment calculations on CO2 saturation images, the system objectively characterizes plume distribution patterns without requiring complex mechanistic models of multiphase flow, thus improving reliability while managing system complexity
Data Source
AI summary
The present disclosure discloses a method for the evaluation of CO2 plume distribution pattern based on image spatial moment theory, which relates to the technical field of CO2 geological storage in oil and gas reservoirs and saline aquifers, including: establishing a two-dimensional geological model for CO2 storage in saline aquifers; generating a heterogeneous permeability model and calculating the corresponding heterogeneous capillary force coefficient; setting initial conditions of the model and control conditions for production wells and injection wells; studying the evolution characteristic of CO2 plume during CO2 injection and storage processes, and calculating the first-order and the second-order spatial moments of CO2 plume images; dividing CO2 distribution patterns based on CO2 plume morphology; establishing a classification map for the distribution patterns of CO2 plume; quantitatively evaluating the distribution patterns of the CO2 plume.