Multiscale Model Simulation for Overlapping Pores
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Solution Overview
Problem
Current methods for determining capillary pressure and relative permeability of subterranean core samples are time-consuming and costly, particularly due to the complexity of heterogeneous formations with overlapping pores at different scales, which affects the accuracy of reservoir simulations.
Innovation Solution
A multiscale model evaluator is used to generate core sample models at different resolutions, correcting for pore overlapping by converting small pore regions into Darcy regions and removing extra contributions from overlapping pores, thereby improving the accuracy of capillary pressure and relative permeability calculations through digital experiments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If physical laboratory experiments (porosimetry, NMR, gas adsorption) are used to determine capillary pressure and relative permeability, then measurement accuracy is improved, but time consumption and cost increase
Solution Approach 1:
The patent creates a digital replica (virtual model) of the core sample's pore structure using imaging techniques like micro-CT scanning. This digital copy allows virtual experiments to be performed on the pore network, replacing physical laboratory experiments. The digital model captures the geometric characteristics of pores, throats, and tortuosity, enabling simulation of fluid flow and capillary pressure without requiring actual physical testing, thus dramatically reducing time and cost while maintaining measurement accuracy.
2Measurement precision
If high-resolution imaging is used to capture detailed pore structures, then measurement precision is improved, but device complexity and data processing requirements increase
Solution Approach 1:
The patent segments the complex pore network into discrete computational elements (nodes and elements representing pores, throats, and channels). This segmentation transforms the continuous, complex pore structure into a manageable digital pore network model that can be processed computationally. By dividing the pore space into discrete units, the system can handle high-resolution imaging data without being overwhelmed by complexity, enabling efficient simulation and analysis of capillary pressure and relative permeability.
3Reliability
If physical core analysis experiments are performed, then direct evidence of hydrocarbon presence and deliverability is obtained, but cost and time resources are consumed
Solution Approach 1:
The patent replaces physical mechanical experiments (porosimetry, NMR, gas adsorption) with computational simulations performed on a digital pore network model. Instead of physically injecting fluids into core samples and measuring responses, the system simulates multiphase fluid flow through the digital model, calculating capillary pressure curves and relative permeability relationships computationally. This substitution maintains the reliability of obtaining direct evidence of hydrocarbon deliverability while dramatically increasing productivity by eliminating the time-consuming nature of physical experiments.
Data Source
AI summary
Overlapping pores in a multiscale model of heterogeneous core formation contributes errors during flow simulations. A scale-coupled multiscale modeling that corrects for contributions of overlapping pores may be used to determine capillary pressure and relative permeability of the heterogenous core formation more accurately. The effects of overlapping pores may be removed by converting pores that have a certain radius or are filled with certain fluids into solid regions. The effects of overlapping pores may also be removed by running flow simulations on a modified model and correcting various fluid properties of the core formation with the results.


