Remaining Oil Distribution Characteristics in Sandy Conglomerate Reservoirs During CO2-WAG Flooding: Insights from Nuclear Magnetic Resonance (NMR) Technology
Abstract
1. Introduction
2. Experiments
2.1. Experimental Materials
2.2. Experimental Setup and Procedure
2.2.1. Experimental Setup
2.2.2. Experimental Procedure
- (1)
- Wash and dry the experimental core, measure the length and diameter of the core, and determine the porosity and permeability of the experimental core.
- (2)
- Each core was vacuumed and then saturated with water at a displacement rate of 0.05 mL/min. The volume of saturated water was measured, after which the core was saturated with oil until no water was produced at the outlet. The volume of saturated oil was then measured to determine the bound water saturation.
- (3)
- Before the experiment, anhydrous ethanol was used to clean the pipeline of the test system, and experimental water was used to continue washing after cleaning.
- (4)
- Leak detection of the experimental system was performed to ensure the airtightness of the test system, to ensure the accuracy of the experiment and facilitate the smooth conduct of subsequent experiments.
- (5)
- Before displacement, the core was scanned with a NMR scanner to see the distribution of oil and water and calculate the porosity and permeability. The NMR-related parameters were set as follows: echo time of 0.1 ms; number of echoes of 25,000; and number of accumulations of 64.
- (6)
- The core was placed into the core holder, the instrument installed, and the switching of each valve checked, to prepare for the experiment.
- (7)
- Confining pressure and back pressure was added to the core according to the experimental scheme, the constant pressure and constant speed pump was opened, and the pump parameters adjusted according to the formulated experimental scheme.
- (8)
- Under the condition of keeping the pressure unchanged, the displacement was started. During the displacement process, the nuclear magnetic scanner was used to scan the core and observe the distribution of oil and water.
- (9)
- After displacement, the pressure in the experimental system was relieved, the desktop cleaned, and the experimental equipment organized.
3. Results and Discussion
3.1. Immiscible Displacement Experiment
3.2. Miscible Displacement Experiment
4. Conclusions
- (1)
- Pore heterogeneity affects the NMR displacement trend through the dual effects of preferential channel development and fluid production uniformity. Immiscible CO2 flooding mainly recovers crude oil from macropores, while crude oil in micropores and mesopores is difficult to recover. After gas channeling, large-scale residual oil aggregates still remain in the core, resulting in low recovery efficiency. Compared with coarse sandstone, the strong heterogeneity of sandy conglomerate leads to faster gas breakthrough in gas flooding and low recovery rate.
- (2)
- Compared with CO2 flooding, CO2-water alternating gas (WAG) flooding can balance the microscopic oil displacement effect between micropores and macropores, and significantly increase oil production from micropores and medium pores. The core mechanism by which CO2-WAG flooding improves crude oil recovery in micropores lies in the aqueous phase’s ‘profile control’ effect in micropores, which blocks preferential channeling paths. This not only delays gas channeling during immiscible CO2 flooding and enhances core oil recovery but also exhibits a more pronounced improvement effect for sandy conglomerates with strong heterogeneity.
- (3)
- Miscible CO2 flooding can effectively extract the oil in the mesopores and micropores that is difficult to displace using immiscible CO2 flooding. Also, the gas breakthrough is slower, and the recovery rate is much higher in miscible CO2-WAG flooding than that of immiscible one. Therefore, ensuring that the formation pressure is higher than the minimum pressure to achieve miscible flooding is the key to reservoir stimulation.
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
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Number | Core Type | Length, cm | Diameter, cm | Porosity, % | Permeability, mD |
---|---|---|---|---|---|
1 | Sandy conglomerate | 4.812 | 2.515 | 16.13 | 130.22 |
2 | Sandy conglomerate | 4.856 | 2.503 | 13.41 | 119.35 |
3 | Sandy conglomerate | 4.897 | 2.529 | 13.12 | 120.28 |
4 | Sandy conglomerate | 4.916 | 2.536 | 16.34 | 139.63 |
5 | Sandy conglomerate | 4.899 | 2.369 | 13.51 | 140.59 |
6 | Conglomerate-bearing sandstone | 4.939 | 2.489 | 10.54 | 29.66 |
7 | Conglomerate-bearing sandstone | 4.955 | 2.499 | 10.03 | 19.68 |
8 | Conglomerate-bearing sandstone | 5.112 | 2.521 | 10.42 | 15.56 |
9 | Coarse sandstone | 5.088 | 2.506 | 8.26 | 1.26 |
Number | Core Type | Flooding Mode | Production Pressure/MPa | Injection Rate/(mL·min−1) | Gas–Water Ratio |
---|---|---|---|---|---|
1 | Coarse sandstone | CO2 flooding | 20 | 2 | / |
2 | Conglomerate-bearing sandstone | CO2 flooding | 20 | 2 | / |
3 | Sandy conglomerate | CO2 flooding | 20 | 2 | / |
4 | Coarse sandstone | CO2-WAG flooding | 20 | 2 | 1:1 |
5 | Conglomerate-bearing sandstone | CO2-WAG flooding | 20 | 2 | 1:1 |
6 | Sandy conglomerate | CO2-WAG flooding | 20 | 2 | 1:1 |
7 | Coarse sandstone | CO2 flooding | 27 | 2 | / |
8 | Conglomerate-bearing sandstone | CO2 flooding | 27 | 2 | / |
9 | Sandy conglomerate | CO2 flooding | 27 | 2 | / |
10 | Coarse sandstone | CO2-WAG flooding | 27 | 2 | 1:1 |
11 | Conglomerate-bearing sandstone | CO2-WAG flooding | 27 | 2 | 1:1 |
12 | Sandy conglomerate | CO2-WAG flooding | 27 | 2 | 1:1 |
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Wang, Y.; Chang, T.; Zhou, J.; Wu, J.; Liu, S. Remaining Oil Distribution Characteristics in Sandy Conglomerate Reservoirs During CO2-WAG Flooding: Insights from Nuclear Magnetic Resonance (NMR) Technology. Processes 2025, 13, 2872. https://doi.org/10.3390/pr13092872
Wang Y, Chang T, Zhou J, Wu J, Liu S. Remaining Oil Distribution Characteristics in Sandy Conglomerate Reservoirs During CO2-WAG Flooding: Insights from Nuclear Magnetic Resonance (NMR) Technology. Processes. 2025; 13(9):2872. https://doi.org/10.3390/pr13092872
Chicago/Turabian StyleWang, Yue, Tao Chang, Junliang Zhou, Junda Wu, and Shuyang Liu. 2025. "Remaining Oil Distribution Characteristics in Sandy Conglomerate Reservoirs During CO2-WAG Flooding: Insights from Nuclear Magnetic Resonance (NMR) Technology" Processes 13, no. 9: 2872. https://doi.org/10.3390/pr13092872
APA StyleWang, Y., Chang, T., Zhou, J., Wu, J., & Liu, S. (2025). Remaining Oil Distribution Characteristics in Sandy Conglomerate Reservoirs During CO2-WAG Flooding: Insights from Nuclear Magnetic Resonance (NMR) Technology. Processes, 13(9), 2872. https://doi.org/10.3390/pr13092872