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Sensors 2019, 19(3), 701; https://doi.org/10.3390/s19030701

A New Multivariate Optical Computing Microelement and Miniature Sensor for Spectroscopic Chemical Sensing in Harsh Environments: Design, Fabrication, and Testing

1
Halliburton Energy Services, Houston, TX 77032, USA
2
Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC 29208, USA
*
Author to whom correspondence should be addressed.
Received: 22 December 2018 / Revised: 31 January 2019 / Accepted: 3 February 2019 / Published: 8 February 2019
(This article belongs to the Special Issue Optoelectronic and Photonic Sensors)
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Abstract

Multivariate optical computing (MOC) is a compressed sensing technique with the ability to provide accurate spectroscopic compositional analysis in a variety of different applications to multiple industries. Indeed, recent developments have demonstrated the successful deployment of MOC sensors in downhole/well-logging environments to interrogate the composition of hydrocarbon and other chemical constituents in oil and gas reservoirs. However, new challenges have necessitated sensors that operate at high temperatures and pressures (up to 230 °C and 138 MPa) as well as even smaller areas that require the miniaturization of their physical footprint. To this end, this paper details the design, fabrication, and testing of a novel miniature-sized MOC sensor suited for harsh environments. A micrometer-sized optical element provides the active spectroscopic analysis. The resulting MOC sensor is no larger than two standard AAA batteries yet is capable of operating in high temperature and pressure conditions while providing accurate spectroscopic compositional analysis comparable to a laboratory Fourier transform infrared spectrometer. View Full-Text
Keywords: multivariate optical computing; logging while drilling; permanent placement sensors; high temperature and pressure multivariate optical computing; logging while drilling; permanent placement sensors; high temperature and pressure
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This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited (CC BY 4.0).
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Jones, C.M.; Dai, B.; Price, J.; Li, J.; Pearl, M.; Soltmann, B.; Myrick, M.L. A New Multivariate Optical Computing Microelement and Miniature Sensor for Spectroscopic Chemical Sensing in Harsh Environments: Design, Fabrication, and Testing. Sensors 2019, 19, 701.

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