Determination of Hydrocarbon Properties by Optical Analysis During Wireline Fluid Sampling

Abstract. The objective of this work was to study the possibility of identifying and quantifying atmospheric carbonate carbon (CC) by thermal-optical analysis. Three different temperature protocols, two modified NIOSH-like protocols (RT-QUARTZ-840 and RT-QUARTZ-700), and the EUSAAR_2 protocol were tested on filter samples containing known amounts of CC with the semi-continuous Sunset analyzer. Carbonate was quantified by the manual integration of the sharp peak appeared at the maximum temperature step of the inert mode. High recoveries of CC were achieved by all the thermal protocols. Using the EUSAAR_2 thermal protocol, more than 95% of CC evolved as OC during the maximum temperature step in inert atmosphere for CC amounts up to 56 μg. Using the RT-QUARTZ-840 protocol specifically developed for on-line analyses, CC completely evolves as OC during the maximum temperature step in the inert node, regardless of the CC concentration. However, the quantification of CC by the RT-QUARTZ-840 protocol suitable for the semi-continuous analyzer implies a high level of uncertainty (manual integration, residual contribution of organic carbon). Therefore, it is advisable to determine CC with an independent method (e.g. by acidic decomposition of CO32- and subsequent detection of CO2) when other sample aliquots are available. The comparison of the peak integration method with the direct determination of the CC sample content by acidic CO2 release showed that the peak integration method provides always higher CC concentrations of about 33%. Nevertheless, the determination of CC with the RT-QUARTZ-840 protocol may be considered in cases where on line monitoring instruments are used and for areas where CC concentrations are expected to be significant e.g. Southern European countries. This case study suggests that users of the semi continuous Sunset analyzer can manually integrate the sharp peak (if present) at the maximum temperature step of the He mode (between 128–130 and 160–165 s when using the RT-QUARTZ-840 protocol) and calculate the CC concentration though with a rather high error.

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18 DETERMINATION OF FIBROSIS STAGE AND STEATOHEPATITIS IN PATIENTS WITH NAFLD BY OPTICAL ANALYSIS OF MAGNETIC RESONANCE IMAGES COMBINED WITH ARTIFICIAL NEURAL NETWORKS (FIBROMRi AND NASHMRi)

Journal of Hepatology ◽

10.1016/s0168-8278(13)60020-3 ◽

2013 ◽

Vol 58 ◽

pp. S8

Author(s):

R. Gallego-Durán ◽

P. Cerro-Salido ◽

E. Gómez-González ◽

M.J. Pareja ◽

R. Aznar ◽

...

Keyword(s):

Neural Networks ◽

Artificial Neural Networks ◽

Magnetic Resonance ◽

Magnetic Resonance Images ◽

Fibrosis Stage ◽

Optical Analysis ◽

Artificial Neural

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Optical filtering of images of dislocation core

Proceedings, annual meeting, Electron Microscopy Society of America ◽

10.1017/s0424820100108696 ◽

1978 ◽

Vol 36 (1) ◽

pp. 310-311

Author(s):

J. Desseaux ◽

C. D'anterroches ◽

J.M. Penisson ◽

A. Renault

Keyword(s):

Signal To Noise Ratio ◽

Great Influence ◽

Dislocation Core ◽

Crystal Defects ◽

Optical Analysis ◽

Optical Filtering ◽

Biological Objects ◽

Electron Microscopes ◽

Optical Fourier Transform

The optical analysis of images obtained with electron microscopes has been widely developed for structural determination of periodic biological objects and for microscope aberration correction in images of periodic or non periodic objects.Our present purpose is to improve the signal to noise ratio of high resolution micrographs of crystal defects recorded at the Scherzer focalus with the 500 kV Kyoto electron microscope. It is not necessary to correct for sign reversals since the microscope transfer function has the same sign over the 0.13 Å-1 - 0.4 Å-1 spatial frequency domain. Our images are noisy due to photographic or electron processes and to object contamination. Thus a simple binary amplitude filter is placed in the optical Fourier transform plane of the object to remove the noise. As the mask shape has a great influence on the information contained in the reconstructed image we have tested the restoration of two nearly similar dislocation cores with two different masks.

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