Multithermal fluid (MTF) component ratios and injection parameters are critical inputs in offshore heavy oil development, such as injection adjustment and monitoring, productivity prediction, and generator combustion process optimization. We implement simultaneous in situ diagnostics of two emblematic injection parameters, the gas-water ratio (GWR) and noncondensable gases proportion (NCGP), in a pilot-scale environment. A system-level integration of a novel laser absorption spectroscopy multigas sensor system based on integrating stray radiation suppression and a circular cell-enhanced strategy is proposed. A structurally optimized extinction thread in front of a photodetector is designed to reduce the absorption signal distortion under the influence of high-temperature radiation. Meanwhile, we break the limitation of the internal dimensions of the injection tube on the long-path absorption of gas molecules and improve the absorbance signal SNR by 3.42-fold. The present work performed experimental tests using diesel as the primary fuel in a laboratory-scale MTF generation system. The results show that the measurement uncertainties for H2O/CO2 concentrations are maintained at ±6.34% and ±6.87%, respectively. The proportion of CO2 in noncondensable gas is comparable to field data, but the GWR of the simulation system at different injection temperatures is much higher than that of the field injection parameters. The measurement system demonstrates remarkable stability and rapid response, marking a significant milestone as the first reported instance of in situ diagnostics of MTF injection parameters conducted in a laboratory bench test.
Microplastic (MP) pollution has gradually become a significant environmental concern, as MPs are widely present in soil, beaches, oceans, and even the atmosphere. Rapid detection and identification of MPs are crucial for monitoring and assessing environmental pollution. In this study, a fusion and solvent evaporation ionization (FSEI) device, comprising a heated plate and nebulizer, was developed for the direct detection and identification of six types of MPs. In the mass spectra, these MPs presented characteristic mass intervals corresponding to the monomer, realizing a more intuitive identification. After optimization, FSEI-MS demonstrated high sensitivity, good linearity (R2 > 0.992), and accuracy (72.7-132.7%). Moreover, FSEI-MS realized discrimination of mixed MPs in terms of both time and spectra dimensions and was successfully applied to the detection of MPs in soil with good recoveries (82.6-117.5%, RSD < 13.2%). Furthermore, FSEI-MS overcame the environmental matrix interference and achieved the direct analysis of MPs in soil by utilizing a commercial spray bottle as the nebulizer. Overall, this research established a comprehensive methodology that integrates time-resolved and MS-based dimensions, offering a concise and efficient solution for MP analysis.