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Updated: Jun 23, 2026

Microfluidic Devices for Characterizing Pore-scale Event Processes in Porous Media for Oil Recovery Applications
Published on: January 16, 2018
Dominant Controlling Factors and Displacement Performance in Heavy Oil Recovery Processes
Han Cao1,2, Bo Huang1,2, Bo Jing1,2
1China National Offshore Oil Corporation (CNOOC) Research Institute Ltd., Beijing 100028, China.
Understanding force competition in heavy oil recovery is key. Capillary forces dominate conventional flooding, while gravity and thermal effects drive super-heavy oil recovery, enabling optimized development.
Area of Science:
- Petroleum Engineering
- Reservoir Engineering
- Multiphase Flow
Background:
- Heavy oil recovery involves complex multiphase flow (oil-water, oil-steam).
- Viscous, capillary, and gravitational forces interplay, affecting oil recovery efficiency.
- Understanding these forces is crucial for optimizing production strategies.
Purpose of the Study:
- To establish a unified dimensionless framework for analyzing force competition in heavy oil reservoirs.
- To quantitatively characterize the interactions among viscous, capillary, and gravitational forces.
- To develop a predictive model for oil recovery in both conventional and super-heavy oil systems.
Main Methods:
- Core-scale physical simulation experiments were conducted.
- A dimensionless framework was developed to analyze force competition.
- Residual oil variation was analyzed under diverse operational parameters (injection rates, temperature, permeability, steam quality, inclination).
Main Results:
- Conventional heavy oil-water flooding is primarily controlled by capillary forces, showing a negative correlation with the modified capillary number.
- Super-heavy oil-steam flooding is dominated by gravity-driven flow and thermal viscosity reduction.
- A composite model based on the thermogravimetry number (N_TG) achieved high predictive accuracy (R=0.9692).
Conclusions:
- The study provides a quantitative understanding of force competition in different heavy oil recovery scenarios.
- The developed dimensionless framework and predictive model offer a basis for optimizing heavy oil reservoir development parameters.
- Accurate characterization of dominant forces is essential for enhancing oil recovery efficiency.
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