In Situ Methane Determination in Petroleum at High Temperatures and High Pressures with Multivariate Optical Computing

In Situ Methane Determination in Petroleum at High Temperatures and High Pressures with Multivariate Optical Computing

Crude oil

Methane

Gasoline

Regression analysis

Least squares approximations

Fourier transform infrared spectroscopy

Optical data processing

Multivariate optical computing (MOC) is a compressed sensing technique enabling the measurement of analytes in a complex interfering mixture under harsh conditions. In this work, we describe the design, modeling, fabrication, and validation of a sensor for the measurement of dissolved methane in petroleum crude oil at high and variable combinations of pressure (up to 82.727 MPa) and temperature (up to 121.1 C). Both laboratory and field validation results are presented, with five separate MOC sensors yielding a RMS error of 0.0089 g/cm3 methane in high pressure/high temperature laboratory and field samples compared to 0.0086 g/cm3 methane for a room temperature laboratory Fourier transform infrared (FTIR) spectrometer using partial least-squares (PLS) regression models. 2019 American Chemical Society.

Analytical Chemistry

2019

Jones, Christopher M.

Price, James

Dai, Bin

Li, Jian

Perkins, David L.

Myrick, Michael L.

journalArticle

32700

10.1021/acs.analchem.9b03715