Microscopic Remaining Oil Classification Method and Utilization Based on Kinetic Mechanism
Abstract
:1. Introduction
2. Displacement Experiment
2.1. Sample Selection
2.2. Experimental Condition
2.3. Experimental Procedure
3. Occurrence of Micro Remaining Oil
3.1. The Classification Method
3.1.1. Classification Parameter Optimization
3.1.2. Classification of Boundary Determination
3.1.3. Types of Microscopic Remaining Oil
3.2. State of Occurrence
4. Formation Mechanism and Utilization Conditions
4.1. Conditions Guiding the Use of Micro-Remaining Oil in Various Reservoirs
4.2. Utilization Conditions in the Water Flooding Process
4.2.1. Utilization Conditions of Classified Oil Reservoir
4.2.2. Tapping Method in Ultra-High Water Cut Period
5. Conclusions
Author Contributions
Funding
Data Availability Statement
Conflicts of Interest
References
- Hou, Q.; He, H.-Q.; Li, J.; Yang, T. Recent progress and prospect of oil and gas exploration by PetroChina Company Limited. China Pet. Explor. 2018, 23, 1–13. [Google Scholar]
- Zhang, N.; Wang, Q.; Wang, J.; Hou, L.; Li, H.; Li, Q. Characteristics of oil and gas discoveries in recent 20 years and future exploration in the world. Pet. Explor. Dev. 2018, 23, 44–53. [Google Scholar]
- Chan, H.; Shi, C.; Hu, H.; Wu, H.; Chen, C. Advances in fine description of reservoir in high water-cut oilfield. Oil Gas Geol. 2018, 39, 1311–1322. [Google Scholar]
- Chen, H. Progress in the fine description of reservoirs in China and its prospect. Geol. China 2021, 48, 424–446. [Google Scholar]
- Du, Q.; Song, B.; Zhu, L.; Jiang, Y.; Zhao, G. Challenges and countermeasures of the waterflooding development for Lasaxing oilfields during extra-high watercut period. Pet. Geol. Oilfield Dev. Daqing 2019, 38, 189–194. [Google Scholar]
- Cui, C.; Li, S.; Yang, Y.; Wang, J.; Huang, Y.; Wu, Z. Zonal Regulation method for reservoirs in ultra-high water cut stage. Acta Pet. Sin. 2018, 39, 1155–1161. [Google Scholar]
- Zhu, L.; Wang, H.; Wei, L.; Guo, J. Quantitative identification of the low and no-efficiency cycle fields based on CRM. Oilfield Dev. Daqing 2019, 38, 239–245. [Google Scholar]
- Du, Q. Variation law and microscopic mechanism of permeability in sandstone reservoir during long-term water flooding development. Acta Pet. Sin. 2016, 37, 1159–1164. [Google Scholar]
- Ju, Y.; Gong, W.; Chang, W.; Sun, M. Effects of pore characteristics on water-oil two-phase displacement in non-homogeneous pore structures: A pore-scale lattice Boltzmann model considering various fluid density ratios. Int. J. Eng. Sci. 2020, 154, 103343. [Google Scholar] [CrossRef]
- Lei, W.; Liu, T.; Xie, C.; Yang, H.; Wu, T.; Wang, M. Enhanced oil recovery mechanism and recovery performance of micro-gel particle suspensions by microfluidic experiments. Energy Sci. Eng. 2020, 8, 986–998. [Google Scholar] [CrossRef]
- Yan, W.; Sun, J. Analysis of research present situation of microscopic remaining oil. Prog. Geophys. 2016, 31, 2198–2211. [Google Scholar]
- Alhosani, A.; Bijeljic, B.; Blunt, M.J. Pore-scale imaging and analysis of wettability order, trapping and displacement in three-phase flow in porous media with various wettabilities. Transp. Porous Media 2021, 140, 59–84. [Google Scholar] [CrossRef]
- Ju, Y.; Xi, C.; Zheng, J.; Gong, W.; Wu, J.; Wang, S.; Mao, L. Study on three-dimensional immiscible water–Oil two-phase displacement and trapping in deformed pore structures subjected to varying geostress via in situ computed tomography scanning and additively printed models. Int. J. Eng. Sci. 2022, 171, 103615. [Google Scholar] [CrossRef]
- Li, Y.; Zhang, J.; Pan, D.; Yan, Y.; Liu, M.; Cao, H.; Gao, W. Occurrence Laws of Microscopic Remaining Oil in High Water-Cut Reservoirs: A Case Study on Blocks Xiaoji and Gangxi in Dagang Oilfield. Xinjiang Pet. Geol. 2021, 42, 444–449. [Google Scholar]
- Sun, Y.; Lin, C.; Wang, L. Microscopic formation mechanisms and distribution patterns of remaining oil in the marine clastic reservoirs of the Carboniferous, Tarim Basin. Oil Gas Geol. 2021, 42, 1334–1343. [Google Scholar]
- Wang, C.; Jiang, H.; Xu, F.; Yu, F.; Zhao, Y.; Li, J. Study of the variation of pore-scale residual oil flow based on a microfluidic model. Pet. Sci. Bull. 2020, 5, 376–391. [Google Scholar]
- Liu, Y.; Dong, X.; Chen, Z.; Hou, Y.; Luo, Q.; Chen, S. Pore-scale movability evaluation for tight oil enhanced oil recovery methods based on miniature core test and digital core construction. Ind. Eng. Chem. Res. 2021, 60, 2625–2633. [Google Scholar] [CrossRef]
- Jiang, N.; Zhang, Z.; Qu, G.; Zhi, J.; Zhang, R. Distribution Characteristics of Micro Remaining Oil of Class III Reservoirs after Fracture Flooding in Daqing Oilfield. Energies 2022, 15, 3385. [Google Scholar] [CrossRef]
- Zhang, L.; Nie, J.; Yu, H. Countermeasures of producing for microcosmic residual oil in ultra-high water cut stage. Sino-Glob. Energy 2021, 26, 44–48. [Google Scholar]
- Pei, X.; Su, Y.; Yu, J. Study on Pore Structure and Microscopic Remaining Oil Distribution Characteristics of Type-Ⅱ Oil Reservoirs in Lmd Oilfield. Sino-Glob. Energy 2023, 28, 38–45. [Google Scholar]
- Cai, H. Study on reasonable injection-production control limit based on the change law of microcosmic residual oil start-up conditions. China Offshore Oil Gas 2023, 35, 94–102. [Google Scholar]
- Gao, W.; Li, Y.; He, S.; Pan, D. Classification method of occurrence mode of remaining oil based on fluorescence thin sections. Acta Pet. Sin. 2020, 41, 1406–1415. [Google Scholar]
- Su, Y.; Zha, M.; Jiang, L.; Ding, X.; Qu, J.; Jin, J.; Iglauer, S. Pore structure and fluid distribution of tight sandstone by the combined use of SEM, MICP and X-ray micro-CT. J. Pet. Sci. Eng. 2022, 208, 109241. [Google Scholar] [CrossRef]
- Yang, Y.; Xiao, W.; Bernabe, Y.; Xie, Q.; Wang, J.; He, Y.; Li, M.; Chen, M.; Ren, J.; Zhao, J.; et al. Effect of pore structure and injection pressure on waterflooding in tight oil sandstone cores using NMR technique and pore network simulation. J. Pet. Sci. Eng. 2022, 217, 110886. [Google Scholar] [CrossRef]
- Guo, C.; Wang, X.; Wang, H.; He, S.; Liu, H.; Zhu, P. Effect of pore structure on displacement efficiency and oil-cluster morphology by using micro-computed tomography (μCT) technique. Fuel 2018, 230, 430–439. [Google Scholar] [CrossRef]
- Jia, Z.; Yuan, M.; Yuan, M.; Zhang, X.; Dong, J.; Yang, Q. Waterflooding microscopic flow characteristics and the remained oil starting mechanisms. Pet. Geol. Oilfield Dev. Daqing 2018, 37, 65–70. [Google Scholar]
- Bai, Z.; Wang, Q.; Li, Y. Distribution law of microscopic remaining oil in polymer-flooded reservoirs of sandstone oilfield. Pet. Geol. Oilfield Dev. Daqing 2021, 40, 101–106. [Google Scholar]
- Li, J.; Jiang, H.; Wang, C.; Zhao, Y.; Gao, Y.; Pei, Y.; Wang, C.; Dong, H. Pore-scale investigation of microscopic remaining oil variation characteristics in water-wet sandstone using CT scanning. J. Nat. Gas Sci. Eng. 2017, 48, 36–45. [Google Scholar] [CrossRef]
- Gong, W.; Liu, Y.; Xi, C.; Yang, G.; Ju, Y.; Wang, M. Dynamic characterization of residual oil during long-term waterflooding experiments in heterogeneous porous structures. Fuel 2024, 356, 129567. [Google Scholar] [CrossRef]
- Fang, Y.; Yang, E.; Guo, S.; Cui, C.; Zhou, C. Study on micro remaining oil distribution of polymer flooding in Class-II B oil layer of Daqing Oilfield. Energy 2022, 254, 124479. [Google Scholar] [CrossRef]
- Spurin, C.; Bultreys, T.; Ruecker, M.; Garfi, G.; Schlepütz, C.M.; Novak, V.; Berg, S.; Blunt, M.J.; Krevor, S. Real-time imaging reveals distinct pore-scale dynamics during transient and equilibrium subsurface multiphase flow. Water Resour. Res. 2020, 56, e2020WR02828. [Google Scholar] [CrossRef]
- Wu, Y.; Tahmasebi, P.; Liu, K.; Fagbemi, S.; Lin, C.; An, S.; Ren, L. Two-phase flow in heterogeneous porous media: A multiscale digital model approach. Int. J. Heat Mass Transf. 2022, 194, 123080. [Google Scholar] [CrossRef]
- GB/T 29172-2012; Practices for Core Analysis. AQSIQ & Standardization Administration of China: Beijing, China, 2012.
- Qin, X.; Xia, Y.; Wu, J.; Sun, C.; Zeng, J.; Xu, K.; Cai, J. Influence of Pore Morphology on Permeability through Digital Rock Modeling: New Insights from the Euler Number and Shape Factor. Energy Fuels 2022, 36, 7519–7530. [Google Scholar] [CrossRef]
- Liu, Y.; Gong, W.; Xiao, H.; Wang, M. A pore-scale numerical framework for solute transport and dispersion in porous media. Adv. Water Resour. 2024, 183, 104602. [Google Scholar] [CrossRef]
- Liu, Y.; Gong, W.; Zhao, Y.; Jin, X.; Wang, M. A Pore-throat segmentation method based on local hydraulic resistance equivalence for pore-network modeling. Water Resour. Res. 2022, 58, e2022WR033142. [Google Scholar] [CrossRef]
- Bugni, F.A.; Canay, I.A. Testing continuity of a density via g-order statistics in the regression discontinuity design. J. Econom. 2021, 221, 138–159. [Google Scholar] [CrossRef]
- Sun, P.; Xu, H.; Zhu, H.; Jia, L.; Hu, X.; Fang, H.; Jiang, H.; Xu, Z.; Jiang, T.; Jiang, X.; et al. Investigation of pore-type heterogeneity and its control on microscopic residual oil distribution in deeply buried marine clastic reservoirs. Mar. Pet. Geol. 2021, 123, 104750. [Google Scholar] [CrossRef]
- Wang, F.; Liu, T.; Lei, W.; Zhao, Y.; Li, B.; Yang, G.; Liu, Y.; Wang, M. Dynamic analysis of deformation and start-up process of residual-oil droplet on wall under shear flow. J. Pet. Sci. Eng. 2021, 199, 108335. [Google Scholar] [CrossRef]
- Guo, J.; Yang, E.; Zhao, Y.; Fu, H.; Dong, C.; Du, Q.; Zheng, X.; Wang, Z.; Yang, B.; Zhu, J. A New Method for Optimizing Water-Flooding Strategies in Multi-Layer Sandstone Reservoirs. Energies 2024, 17, 1828. [Google Scholar] [CrossRef]
Reservoir Type | REV Analysis | CT Scanning | |
---|---|---|---|
Rough Scanning | Fine Scanning | ||
Class-I | Diameter = 2.0–2.5 cm, Length = 3.0–5.0 cm | Size: Diameter = 2.5 cm, Length = 2.5–5.0 cm Resolution: 5 μm | Size: Diameter = 8 mm, Length = 8 mm, Resolution: 4 μm |
Class-II | Size: Diameter = 8 mm, Length = 8 mm, Resolution: 4 μm | ||
Class-III | Size: Diameter = 8 mm, Length = 8 mm, Resolution: 2 μm |
Sample | Reservoir Type | Lithology | Porosity (%) | Air Permeability (×μm−3) |
---|---|---|---|---|
Sample-1 | Class-I | fine-grained sandstone | 30.96 | 3956 |
Sample-2 | Class-I | fine-grained sandstone | 29.32 | 1890 |
Sample-3 | Class-II | fine-grained sandstone | 28.84 | 1398 |
Sample-4 | Class-III | siltstone | 27.79 | 462 |
Node | Node 1 | Node 2 | Node 3 | Node 4 | Node 5 | Node 6 | Node 7 | Node 8 |
---|---|---|---|---|---|---|---|---|
Degree | Dry Rock | Oil-Saturated | 0.5 PV with 13 μL/min | 1 PV with 13 μL/min | 3 PV with 13 μL/min | 10 PV with 39 μL/min | 50 PV with 130 μL/min | 500 PV with 130 μL/min |
Type | Driving Force | Resistance Force |
---|---|---|
1 | Positive pressure | Capillary force |
2 | Positive pressure | Viscous force |
3 | Viscous force | Positive pressure |
4 | Viscous force | Capillary force |
5 | Capillary force | Positive pressure |
6 | Capillary force | Viscous force |
7 | Viscous force, positive pressure | Capillary force |
8 | Capillary force, viscous force | Capillary force |
9 | Capillary force, positive pressure | Viscous force |
10 | Capillary force | Positive pressure, viscous force |
11 | Viscous force | Positive pressure, capillary force |
12 | Positive pressure | Viscous force, capillary force |
Type | Cluster Type | Oil Drop Type | Columniform | Film Type | Caeco-Terminal Type |
---|---|---|---|---|---|
Formation mode | Capillary force + Viscous force | Capillary force | Viscous force | ||
Use mechanism | Dynamic pressure > Capillary force + viscous force | Dynamic pressure > Capillary force + viscous force | Tangential viscosity > Wall viscosity | ||
Direction of operation | Increased pressure gradient | Reduce capillary resistance | Increase driving force | Reduce interfacial tension | Increase shear force |
Potential exploitation direction | Enhanced injection and production | Change the flow direction | Reservoir reconstruction | Chemical flooding | Improve speed and viscoelasticity |
Disclaimer/Publisher’s Note: The statements, opinions and data contained in all publications are solely those of the individual author(s) and contributor(s) and not of MDPI and/or the editor(s). MDPI and/or the editor(s) disclaim responsibility for any injury to people or property resulting from any ideas, methods, instructions or products referred to in the content. |
© 2024 by the authors. Licensee MDPI, Basel, Switzerland. This article is an open access article distributed under the terms and conditions of the Creative Commons Attribution (CC BY) license (https://creativecommons.org/licenses/by/4.0/).
Share and Cite
He, Y.; Zheng, X.; Wu, J.; Wang, Z.; Wu, J.; Wang, Q.; Gong, W.; Gai, X. Microscopic Remaining Oil Classification Method and Utilization Based on Kinetic Mechanism. Energies 2024, 17, 5467. https://doi.org/10.3390/en17215467
He Y, Zheng X, Wu J, Wang Z, Wu J, Wang Q, Gong W, Gai X. Microscopic Remaining Oil Classification Method and Utilization Based on Kinetic Mechanism. Energies. 2024; 17(21):5467. https://doi.org/10.3390/en17215467
Chicago/Turabian StyleHe, Yuhang, Xianbao Zheng, Jiayi Wu, Zhiqiang Wang, Jiawen Wu, Qingyu Wang, Wenbo Gong, and Xuecong Gai. 2024. "Microscopic Remaining Oil Classification Method and Utilization Based on Kinetic Mechanism" Energies 17, no. 21: 5467. https://doi.org/10.3390/en17215467
APA StyleHe, Y., Zheng, X., Wu, J., Wang, Z., Wu, J., Wang, Q., Gong, W., & Gai, X. (2024). Microscopic Remaining Oil Classification Method and Utilization Based on Kinetic Mechanism. Energies, 17(21), 5467. https://doi.org/10.3390/en17215467