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.
HC-polymer 3D-network conjugated by hydrocarbon-fluorocarbon core/shell aggregates in supercritical CO2.
Abstract: For the last two decades, many polymers have been tested to increase CO2 viscosity for enhanced oil recovery. Unfortunately, HC-polymers were found to be inactive for the viscosity enhancement due to their poor solubility in supercritical CO2 (scCO2). A recent SANS study (RB1610015) found that unusual FC-HC amphiphiles without a “headgroup” formed HC-core/FC-shell cylindrical aggregates in scCO2. The elongated aggregates can play an important role to enhance solubility of HC-polymers in scCO2 and to advance the polymer 3D-network by wrapping and conjugating the polymers with HC-HC interaction and/or specific interactions like hydrogen bond. This proposal aims to find appropriate HC-polymer/FC-HC amphiphile mixtures for constructing 3D-network in scCO2. This SANS study will provide important information and enable the development of novel, EOR-oriented, CO2-thickeners.
Principal Investigator: Professor Masanobu Sagisaka
Experimenter: Mr Craig Davies
Experimenter: Dr Shirin Alexander
Local Contact: Dr Sarah Rogers
Experimenter: Dr Sajad Kiani
Experimenter: Dr Adam Czajka
Experimenter: Mr Christopher Hill
Experimenter: Professor Julian Eastoe
DOI: 10.5286/ISIS.E.RB1720361
ISIS Experiment Number: RB1720361
Part DOI | Instrument | Public release date | Download Link |
---|---|---|---|
10.5286/ISIS.E.87841621 | LOQ | 09 December 2020 | Download |
Publisher: STFC ISIS Neutron and Muon Source
Data format: RAW/Nexus
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Data Citation
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publication is as:
[author], [date], [title], [publisher],
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For Example:
Professor Masanobu Sagisaka et al; (2017): HC-polymer 3D-network conjugated by hydrocarbon-fluorocarbon core/shell aggregates in supercritical CO2., STFC ISIS Neutron and Muon Source, https://doi.org/10.5286/ISIS.E.RB1720361
Data is released under the CC-BY-4.0 license.