ISIS Neutron and Muon Source Data Journal

This is a page describing data taken during an experiment at the ISIS Neutron and Muon Source. Information about the ISIS Neutron and Muon Source can be found at https://www.isis.stfc.ac.uk.


Static and dynamic structure of oil/water microemulsions to improve enhanced oil recovery

Abstract: After initial and secondary oil recovery up to 50% of the oil can be left behind in the reservoir. Various enhanced oil recovery (EOR) techniques can be applied to improve the recovery factor. Alkali, surfactant and polymer (ASP) flooding is a promising EOR method that is currently being explored. The main principle is using surfactant to reduce the interfacial tension between the water and oil phase to mobilize the oil which is trapped by capillary forces. The optimum surfactant formulation will generate a third phase “microemulsion”, which is a thermodynamically stable mixture of oil, brine and surfactant. This microemulsion can have undesirable properties such as a high apparent viscosity when it flows through the porous rock formations. The understanding of the structure and flow behaviour of this microemulsion phase is important for clarifying the mechanism of ASP EOR flooding.

Principal Investigator: Dr Wim Bouwman
Local Contact: Dr Steve King
Experimenter: Mr Maarten Mulder
Local Contact: Dr Robert Dalgliesh
Experimenter: Miss Bei Tian

DOI: 10.5286/ISIS.E.RB1669002

ISIS Experiment Number: RB1669002

Part DOI Instrument Public release date Download Link
10.5286/ISIS.E.83551108 LARMOR 04 December 2019 Download

Publisher: STFC ISIS Neutron and Muon Source

Data format: RAW/Nexus
Select the data format above to find out more about it.

Data Citation

The recommended format for citing this dataset in a research publication is as:
[author], [date], [title], [publisher], [doi]

For Example:
Dr Wim Bouwman et al; (2016): Static and dynamic structure of oil/water microemulsions to improve enhanced oil recovery, STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1669002

Data is released under the CC-BY-4.0 license.



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