Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • Applied Spectroscopy
  • Vol. 50,
  • Issue 12,
  • pp. 1535-1540
  • (1996)

Qualitative Analysis of Oil Sand Slurries Using On-Line NIR Spectroscopy

Not Accessible

Your library or personal account may give you access

Abstract

The development of a reliable on-line method to monitor process streams is important for improved process control in oil sand extraction plants. The suitability of diffuse reflectance near-infrared (NIR) spectroscopy for this purpose has been tested in a pilot plant environment. Spectra of a feed slurry flowing through a pipe were measured with the use of an on-line fiber-optic probe. Data were collected throughout a nine-hour period during which ore type and slurry water content were varied. The feasibility of monitoring feed stream conditions is demonstrated by principal component analysis of the measured spectra. Clustering of these spectra according to ore type and water content enables the detection of deviations from and transitions between steady-state conditions of the process. Estimates are given of characteristic times for the process to reach a steady state after a change in condition has been initiated. The use of artificial neural networks for classifying spectra on the basis of ore type is also illustrated.

PDF Article
More Like This
On-stream analysis of iron ore slurry using laser-induced breakdown spectroscopy

Xiao Cheng, Xinyan Yang, Zhihao Zhu, Lianbo Guo, Xiangyou Li, Yongfeng Lu, and Xiaoyan Zeng
Appl. Opt. 56(33) 9144-9149 (2017)

Elemental analysis of slurry samples with laser induced breakdown spectroscopy

Kemal E. Eseller, Markandey M. Tripathi, Fang-Yu Yueh, and Jagdish P. Singh
Appl. Opt. 49(13) C21-C26 (2010)

Efficient weakly supervised LIBS feature selection method in quantitative analysis of iron ore slurry

Tong Chen, Lanxiang Sun, Haibin Yu, Lifeng Qi, Dong Shang, and Yuanming Xie
Appl. Opt. 61(7) D22-D29 (2022)

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved