Halliburton Energy Services, Houston, TX 77032, USA.
Department of Chemistry and Biochemistry, University of South Carolina, Columbia, SC 29208, USA.
Sensors (Basel). 2019 Feb 8;19(3):701. doi: 10.3390/s19030701.
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.
多元光学计算（MOC）是一种压缩感知技术，能够在多种不同应用中提供准确的光谱成分分析，涉及多个行业。事实上，最近的发展已经证明，MOC 传感器已经成功部署在井下/测井环境中，以探测油气储层中碳氢化合物和其他化学成分的组成。然而，新的挑战需要传感器能够在高达 230°C 和 138MPa 的高温高压环境下以及更小的区域内运行，这就需要缩小其物理尺寸。为此，本文详细介绍了一种适用于恶劣环境的新型微型 MOC 传感器的设计、制造和测试。一个微米级的光学元件提供了主动的光谱分析。所得到的 MOC 传感器不超过两个标准 AAA 电池，但能够在高温高压条件下运行，同时提供与实验室傅里叶变换红外光谱仪相当的准确光谱成分分析。
