Study of the Relationship Between the Oil Content of Oil Sands and Spectral Reflectance Based on Spectral Derivatives

  • Ruixue FanEmail author
  • Lixin Xing
  • Jun Pan
  • Xuanlong Shan
  • Jinfeng You
  • Changwei Li
  • Weijing Zhong
Research Article


The oil content of oil sands is an important factor in oil sand resource evaluation. In this study, we use spectral reflectance to study the oil content parameter. The spectrograph can be used to determine the target spectral reflectance directly, using a fiber-optic probe, without destroying samples or using chemical reagents, which has the advantage of quick measurement and analysis. This paper documents the acquisition of hyperspectral data in the range of 350–2500 nm through spectrometry of oil sand samples. We process the original reflectivity data using the first-order and second-order differentials and then calculate and analyze the correlation coefficient with reflectivity of oil sands and the first and second derivatives of reflectance. Based on the characteristics of the correlation coefficient graphs, we determine the wave bands sensitive to oil content and verify that using hyperspectral data in the study of oil content is feasible.


Oil sands Reflectance spectrum First-order differential Second-order differential Oil content Correlation analysis 



An Analytical Spectral Devices (ASD) spectrometer was used to perform the spectrum test in the laboratory. The oil content was determined at the China Chemical Geology and Mine Bureau Research Institute of Geology of Jilin Province.


The study was financially supported by National Science and Technology Major Project of the Ministry of Science and Technology of China (2011ZX05028-002), Science and Technology Project of PetroChina Company Limited (2013E-050102) and China Geological Survey Program (1212010761502).

Compliance with Ethical Standards

Conflicts of interest

Any conflicts of interest for any author are not apparent from their affiliation or funding.


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Copyright information

© Indian Society of Remote Sensing 2019

Authors and Affiliations

  1. 1.College of Geo-exploration Science and TechnologyJilin UniversityChangchunChina
  2. 2.College of Earth SciencesJilin UniversityChangchunChina
  3. 3.Aviation University Air ForceChangchunChina

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