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NMR-Responsive Paramagnetic [M-EDTA] (M = Fe3+, Mn2+, Cu2+) Complexes to Differentiate T2-Distribution Signals of Crude Oil and Brine

Research output: Contribution to journalArticle

Original languageEnglish
Article number12
Pages (from-to)12278-12285
Number of pages8
JournalEnergy and Fuels
Volume33
Early online date12 Nov 2019
DOIs
DateAccepted/In press - 11 Nov 2019
DateE-pub ahead of print - 12 Nov 2019
DatePublished (current) - 19 Dec 2019

Abstract

Nuclear magnetic resonance (NMR) well logging tools are being commercially utilized for the characterization of various fluids confined within reservoir rocks. Conventional NMR T2-distribution measurements are unable to quantify the actual fractions of crude oil and brine simultaneously present in the reservoir rocks. Herein, we reported NMR-responsive paramagnetic [M-EDTA] (M = Fe3+, Mn2+, Cu2+) complexes having the capability to differentiate NMR T2-distribution signals coming from crude oil and brine by accelerating the water (1H) relaxation. The formation of these [Fe-EDTA]-, [Mn-EDTA]2-, and [Cu-EDTA]2- complexes was explored by UV-visible spectroscopy, and their chemical stability in brine solution was monitored by measuring the change in percent transmittance and backscattering intensities with time. Spin-spin (T2) relaxation signals and T2-distribution spectra of various carbonate and sand packs were recorded. The separation of NMR T2-distribution signals was achieved using the optimized concentration of synthesized paramagnetic complexes. The separation of NMR T2-distribution signals with the optimum concentration of complexes and their long-term chemical stability in a brine solution suggest them to be commercially reliable contrast agents for the characterization of various rock fluids confined in oil reservoirs.

    Research areas

  • lipids, solution chemistry, ions, petrochemicals, transition metals

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  • Full-text PDF (author’s accepted manuscript)

    Rights statement: This is the author accepted manuscript (AAM). The final published version (version of record) is available online via Springer Verlag at https://www.springerprofessional.de/geographical-and-temporal-huff-model-calibration-using-taxi-traj/17721612 . Please refer to any applicable terms of use of the publisher.

    Accepted author manuscript, 292 KB, PDF document

    Embargo ends: 12/11/20

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    Licence: CC BY-NC

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