Detection of oil yield from oil shale based on near-infrared spectroscopy combined with wavelet transform and least squares support vector machines-Reference-Cited by-同舟云学术

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Detection of oil yield from oil shale based on near-infrared spectroscopy combined with wavelet transform and least squares support vector machines

Published:2019-03 Issue: Volume:97 Page:224-228
ISSN:1350-4495
Container-title:Infrared Physics & Technology
language:en
Short-container-title:Infrared Physics & Technology

Author:

Zhang Fudong,Liu Jie,Lin Jun,Wang Zhihong

Funder

Jilin Province Science and Technology Development Major Science and Technology Project of China

Jilin Province Science and Technology Development Plan Project

Publisher

Elsevier BV

Subject

Condensed Matter Physics,Atomic and Molecular Physics, and Optics,Electronic, Optical and Magnetic Materials

Reference32 articles.

1. A new rapid method for shale oil and shale gas assessment;Wright;Fuel,2015

2. An in situ FTIR step-scan photoacoustic investigation of kerogen and minerals in oil shale;Alstadt;Spectrochim. Acta A.,2012

3. Analyzing the calcination of sulfur-rich calcareous oil shales using FT-IR spectroscopy and applying curve-fitting technique;Shoval;J. Therm. Anal. Calorim.,2011

4. Characterization of kerogen using solid-state nuclear magnetic resonance spectroscopy: a review;Cao;Int. J. C. Geol.,2013

5. Characterization of the oil shale products derived via topochemical reaction method;Sun;Fuel,2014

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