Experimental research on remaining oil distribution and recovery performances after nano-micron polymer particles injection by direct visualization

Yue, Ming; Zhu, Weiyao; Huang, Han; Song, Hongqing; Long, Yunqian; Lou, Yu

doi:10.1016/j.fuel.2017.10.055

Cited by 48 publications

(20 citation statements)

References 12 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…Nanotechnology has found its way to petroleum engineering, and it is a well-accepted path in oil and gas industry to recover trapped oil in the reservoir Ogolo et al 2012;Bayat and Junin 2015;Mahmoud et al 2016;Nwidee et al 2017;Yue et al 2018); therefore, there is need to synthesise these natural polymers to nanoparticle (Chin et al 2011;Azeez and Onukwuli 2016) for improved performance that can perform better than polymers already in use (Yue et al 2018).…”

Section: Future Directions For Natural Polymersmentioning

confidence: 99%

See 1 more Smart Citation

Natural polymer flow behaviour in porous media for enhanced oil recovery applications: a review

Agi

Gbonhinbor

Onyekonwu

2018

J Petrol Explor Prod Technol

View full text Add to dashboard Cite

When a reservoir is flooded with polymer, the mobility ratio between the displaced fluid and the displacing fluid become favourable compared to the conventional water flooding. In the oil and gas industry, the synthetic polymer polyacrylamide in hydrolysed form and the biopolymer xanthan are being used for this purpose. However, the polyacrylamide is susceptible to high temperature and salinity. Also, its synthetic nature makes it harmful to the environment. The biopolymer xanthan has the problem of degradation and both are very expensive. With the shortfall in crude oil price and the high cost of exploitation and drilling new wells, there is need to look inward and think out of the box in formulating new improved polymers that can combat these problems. Natural polymers from agricultural and forest produce are abundant in nature, cheap and environmentally friendly. These agricultural and forest produce contain starch and cellulose which are known to have rigid and long polysaccharide chains that can withstand the harsh reservoir conditions. But the design of a polymer flood or a permeability-modified process involving polymer requires knowledge about the polymer flow mechanism and the rheological behaviour of the porous media. This paper, therefore, reviews the available natural polymers that can be used for enhanced oil recovery applications and the mechanism affecting their flow behaviour in porous media. The emphasis is on the physical aspect of the flow, the microscopic rheological behaviour of the natural polymers. The dominant mechanism of the flow process was adsorption, mechanical entrapment and hydrodynamic retention. It was observed that the polymer exhibited non-Newtonian, pseudoplastic and shear-thinning behaviours. The literature review on oil displacement test indicates that natural polymers can recover additional oil from an oil field. Environmental application issues associated with the application of natural polymers have opened new frontier for research and are also highlighted herein.

show abstract

Section: Future Directions For Natural Polymersmentioning

confidence: 99%

“…The nanoparticles can also be used to solve problem of fines migration in the oil industry (Ogolo et al 2017;Yue et al 2018) and as drilling fluids additives to improve the rheological properties (Smith et al 2018;Afolabi et al 2018). …”

Section: Future Directions For Natural Polymersmentioning

confidence: 99%

Natural polymer flow behaviour in porous media for enhanced oil recovery applications: a review

Agi

Gbonhinbor

Onyekonwu

2018

J Petrol Explor Prod Technol

View full text Add to dashboard Cite

show abstract

“…At the end of SiO 2 /P(MBAAm- co -AM) suspension slug injection, the fractional flows increase to more than 60% in low-permeability cores, and decrease to less than 40% in high-permeability cores. The above changes of fractional flows in high- and low-permeability cores confirm that SiO 2 /P(MBAAm- co -AM) nanoparticles can block water channels in high-permeability cores to produce fluid diversion and enlarge the swept volume in low-permeability cores [55]. As the extended brine flooding starts, the fractional flows in high- and low-permeability cores both fluctuate with the migration of SiO 2 /P(MBAAm- co -AM) nanoparticles [56].…”

Section: Resultsmentioning

confidence: 88%

Enhanced Oil Recovery by a Suspension of Core-Shell Polymeric Nanoparticles in Heterogeneous Low-Permeability Oil Reservoirs

et al. 2019

View full text Add to dashboard Cite

Polymeric nanoparticle suspension is a newly developed oil-displacing agent for enhanced oil recovery (EOR) in low-permeability reservoirs. In this work, SiO2/P(MBAAm-co-AM) polymeric nanoparticles were successfully synthesized by a simple distillation–precipitation polymerization method. Due to the introduction of polymer, the SiO2/P(MBAAm-co-AM) nanoparticles show a favorable swelling performance in aqueous solution, and their particle sizes increase from 631 to 1258 nm as the swelling times increase from 24 to 120 h. The apparent viscosity of SiO2/P(MBAAm-co-AM) suspension increases with an increase of mass concentration and swelling time, whereas it decreases as the salinity and temperature increase. The SiO2/P(MBAAm-co-AM) suspension behaves like a non-Newtonian fluid at lower shear rates, yet like a Newtonian fluid at shear rates greater than 300 s−1. The EOR tests of the SiO2/P(MBAAm-co-AM) suspension in heterogeneous, low-permeability cores show that SiO2/P(MBAAm-co-AM) nanoparticles can effectively improve the sweep efficiency and recover more residual oils. A high permeability ratio can result in a high incremental oil recovery in parallel cores. With an increase of the permeability ratio of parallel cores from 1.40 to 15.49, the ratios of incremental oil recoveries (low permeability/high permeability) change from 7.69/4.61 to 23.61/8.46. This work demonstrates that this SiO2/P(MBAAm-co-AM) suspension is an excellent conformance control agent for EOR in heterogeneous, low-permeability reservoirs. The findings of this study can help to further the understanding of the mechanisms of EOR using SiO2/P(MBAAm-co-AM) suspension in heterogeneous, low-permeability reservoirs.

show abstract

“…In the oilfield development process, due to reservoir heterogeneity and different production modes, there often exist great amounts of remaining oil in reservoirs. As a result, the prediction of remaining oil or water saturation distribution is of great significance for oilfield future development [1]. Accurate prediction of water saturation distribution in a reservoir facilitate to tap the remaining oil in the reservoir.…”

Section: Introductionmentioning

confidence: 99%

Potential for Prediction of Water Saturation Distribution in Reservoirs Utilizing Machine Learning Methods

et al. 2019

Self Cite

View full text Add to dashboard Cite

Machine learning technology is becoming increasingly prevalent in the petroleum industry, especially for reservoir characterization and drilling problems. The aim of this study is to present an alternative way to predict water saturation distribution in reservoirs with a machine learning method. In this study, we utilized Long Short-Term Memory (LSTM) to build a prediction model for forecast of water saturation distribution. The dataset deriving from monitoring and simulating of an actual reservoir was utilized for model training and testing. The data model after training was validated and utilized to forecast water saturation distribution, pressure distribution and oil production. We also compared standard Recurrent Neural Network (RNN) and Gated Recurrent Unit (GRU) which are popular machine learning methods with LSTM for better water saturation prediction. The results show that the LSTM method has a good performance on the water saturation prediction with overall AARD below 14.82%. Compared with other machine learning methods such as GRU and standard RNN, LSTM has better performance in calculation accuracy. This study presented an alternative way for quick and robust prediction of water saturation distribution in reservoir.

show abstract

Experimental research on remaining oil distribution and recovery performances after nano-micron polymer particles injection by direct visualization

Cited by 48 publications

References 12 publications

Natural polymer flow behaviour in porous media for enhanced oil recovery applications: a review

Natural polymer flow behaviour in porous media for enhanced oil recovery applications: a review

Enhanced Oil Recovery by a Suspension of Core-Shell Polymeric Nanoparticles in Heterogeneous Low-Permeability Oil Reservoirs

Potential for Prediction of Water Saturation Distribution in Reservoirs Utilizing Machine Learning Methods

Contact Info

Product

Resources

About