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Volume 23, Issue 3
  • ISSN: 1354-0793
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Abstract

Detection of the chemical constituents of hydrocarbons in the hydrocarbon-bearing fluid inclusions in diagenetic mineral cements, secondary fractures and overgrowths could be a useful indicator of the nature of oil in a basin. Microscope-based Raman spectroscopy is a non-destructive, optical vibrational spectroscopic technique that can precisely isolate and analyse hydrocarbon fluid inclusions (HCFIs). The main challenge with Raman spectral studies on natural HCFIs is the common presence of fluorescence emission from minerals and aromatic compounds in HCFIs leading to the masking of Raman signals. The present study is a demonstration of how best the Raman signals from natural hydrocarbon-bearing fluid inclusions could be detected using an excitation wavelength of 785 nm with suitable optical parameters and with special wafer preparation techniques to negate the background fluorescence. Using the laser Raman technique we were able to detect peaks corresponding to cyclohexane (786 and 3245 cm), benzene and bromobenzene (606, 1010, 1310, 1486 and 1580 cm), carbon monoxide (2143 cm), nitrogen (2331 cm), ethylene (1296 cm), sulphur oxide (524 cm), carbonyl sulphide (2055 cm), hydrogen sulphide in liquid form (2580 cm) along with the presence of a broad peak of liquid water at 3100–3500 cm, peaks of calcium carbonate (710, 854 cm) and calcium sulphate (1135 cm). The study samples were specially prepared with fluorescence-quenching dyes added with a resin-hardener mixture to eliminate background fluorescence. Nine fluid-inclusion assemblages in minerals like quartz, feldspar and calcite from the RV-1 well of the Ratnagiri Block, Mumbai Offshore Basin, India were investigated.

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2017-01-17
2024-04-25

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Feasibility of a 785 nm diode laser in Raman spectroscopy for characterizing hydrocarbon-bearing fluid inclusions in Mumbai Offshore Basin, India
Petroleum Geoscience 23, 369 (2017); https://doi.org/10.1144/petgeo2016-071
/content/journals/10.1144/petgeo2016-071
/content/journals/10.1144/petgeo2016-071
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