A numerical simulation investigation on low permeability reservoirs air flooding: Oxidation reaction models and factors

Wang, Tengfei; Bai, Zongxian; Wang, Liangliang; Yuan, Chengdong; Zhao, Zhihui; Song, Wei

doi:10.1016/j.geoen.2023.211506

Cited by 3 publications

(2 citation statements)

References 31 publications

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“…The prediction and optimization processes of CGUS intelligent models based on traditional machine learning and deep learning algorithms tend to rely on statistical likelihoods, restricting the models to operate within a limited number of statistical parameters and posing a challenge to derive clear explanations from the deep learning process. To efficiently utilize complex multi-source data in geology and engineering, optimize algorithm architecture, and improve computing efficiency, advanced deep learning algorithms have gradually emerged based on traditional deep learning, including: generative adversarial network (GAN), graph neural network (GNN), attention, transformer, transfer learning, and deep reinforcement learning (DRL) Meng et al, 2024). CGUS models based on these advanced deep learning architectures are gradually beginning to emulate human cognitive and logical thinking, working to understand and explain complex patterns and relationships in geo-energy systems.…”

Section: Advanced Deep Learning Architecturesmentioning

confidence: 99%

Deep learning in CO2 geological utilization and storage: Recent advances and perspectives

Wang,

Chu,

Lyu

2024

Adv. Geo-Energy Res.

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Section: Advanced Deep Learning Architecturesmentioning

confidence: 99%

Deep learning in CO2 geological utilization and storage: Recent advances and perspectives

Wang,

Chu,

Lyu

2024

Adv. Geo-Energy Res.

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“…At present, Most oilfields in China are dominated by terrestrial deposits, and after a long period of water injection development, the water drive development effect deteriorates and the oil production decreases, so the polymer enhanced recovery technology becomes the preferred choice [1][2] , and it has been widely applied in the mines [3] . The final recovery of water-driven in type II reservoirs can reach 45.3%, and the recovery of polymerdriven can be increased by 13.32% [4][5][6] .…”

Section: Introductionmentioning

confidence: 99%

Evaluation of the development effect of polydynamic drive in Class IIB oil reservoir of Lamadian Oilfield

Sun

2024

E3S Web Conf.

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With the continuous deepening of oilfield development, the target of oilfield development is gradually shifting towards reservoirs with poor physical properties, and polymer flooding can better utilize such reservoirs.The heterogeneity of Class II B oil layer in Lamadian Oilfield is severe, and polymer flooding takes effect later, with a small decrease in watercut.A study was conducted on the evaluation of polymer flooding development effectiveness for Class II B oil layers through reservoir numerical simulation . Research has shown that when the initial watercut is constant, a lower injection pressure can increase the utilization degree of remaining oil in the middle and high permeability layers of Class II B oil layers. With the increase of injection pressure, the response time is shortened, and the decrease in watercut is reduced; As the watercut increases, the injection pressure should gradually increase in order to improve the recovery of low permeability reservoirs;As the watercut increases, the injection pressure should gradually increase in order to improve the recovery of low permeability oil layers;At a watercut of 95% and injection pressure of 7MPa, a field experiment was conducted with a molecular weight polymer of 12 million , and the response time was 6 months. The cumulative oil increase was 14675m3, achieving good polymer flooding effect.

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Evaluation of low-temperature oxidation analysis and the development effect of high-pressure air injection in low-permeability reservoirs

Chen,

Ba,

et al. 2024

Front. Earth Sci.

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In order to solve the problems of conventional water injection development difficulties and low recovery factor in low-permeability reservoirs, the method of high-pressure air drive is adopted to achieve the purpose of reservoir energy enhancement and efficiency improvement. This paper conducted an experimental study on the mechanism of low-temperature oxidation (LTO) for crude oil in the process of high-pressure air flooding, elaborated the relationship between the LTO properties of crude oil and the temperature, pressure, and water saturation of the reservoir, and analyzed the differences in LTO oxygen consumption and oil components under different reaction conditions. In addition, combined with the air flooding physical simulation experiment, the dynamic evolution law of recovery rate in the air flooding process was revealed. Findings from this inquiry indicate that an escalation in the oxidation temperature significantly amplifies the oxygen incorporation reaction within the crude oil matrix. This augmentation in oxidative conditions leads to an uptick in oxygen consumption, which subsequently precipitates a reduction in the lighter fractions of the oxidized oil while enriching its heavier components. Elevated pressures were found to enhance the propensity for the amalgamation of unstable hydrocarbons with oxygen, fostering comprehensive and heterogeneous oxidation reactions. Notably, an excessive presence of water was observed to detrimentally affect the thermal efficacy of crude oil oxidation processes. In the context of low-permeability reservoirs, air injection techniques have emerged as superior in effectuating oil displacement, although an increase in injection pressures has been associated with the phenomenon of gas channeling. Interestingly, adopting a sequential strategy of initiating water flooding before air flooding facilitated the conveyance of high-pressure air via established flushing channels, although it appeared to attenuate the intensity of crude oil oxidation, culminating in an oil recovery efficiency peaking at 51%.

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A numerical simulation investigation on low permeability reservoirs air flooding: Oxidation reaction models and factors

Cited by 3 publications

References 31 publications

Deep learning in CO2 geological utilization and storage: Recent advances and perspectives

Deep learning in CO2 geological utilization and storage: Recent advances and perspectives

Evaluation of the development effect of polydynamic drive in Class IIB oil reservoir of Lamadian Oilfield

Evaluation of low-temperature oxidation analysis and the development effect of high-pressure air injection in low-permeability reservoirs

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