1887

Abstract

Summary

The work is devoted to the reconstruction of Bazhenov kerogen chemical structure. For this purpose, the 4-step workflow was developed. At the first stage, available experimental data (CHNS analysis, pyrolysis, 13C NMR, XPS) was processed. It provided with kerogen structural parameters: relative amounts of elements, types and amounts of heteroatomic functional groups and carbon forms in the structure under study. At the second stage, 3 potential macrofragments were built, their structural parameters and 13C NMR spectra were calculated and compared to the real one. As a result, the most possible macrofragment was chosen for structure modeling. The third stage was related to the preparations of input data for molecular dynamics simulation software. It included creation of several files, containing description of each atom and force field parameters. At the final stage, the molecular dynamics simulation of several copies of selected macrofragment was run. It provided with the equilibrated kerogen model. As a result, the first data on chemical structure of Bazhenov kerogen was obtained. It is expected to be applied for the calculation of kerogen chemical transformation in geological and technological processes.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.202151029
2021-04-05
2024-04-28
Loading full text...

Full text loading...

References

  1. 1.ChengB., ZhaoJ., YangC., TianY., LiaoZ., 2017. Geochemical evolution of occluded hydrocarbons inside geomacromolecules: a review, J. Energy Fuels, V. 31, pp. 8823–8832.
    [Google Scholar]
  2. 2.CollellJ., UngererPh., GallieroG., YiannourakouM., MontelF., PujolM., 2014. Molecular simulation of bulk organic matter in type II shales in the middle of the oil formation window, J. Energy Fuels, V. 28, No. 12, pp. 7457–7466.
    [Google Scholar]
  3. 3.EngelM.H., StephenA.M., 2013. Organic geochemistry: principles and applications, Springer Science & Business, p. 861.
    [Google Scholar]
  4. 4.FreundH., WaltersC.C., KelemenS.R., SiskinM., GorbatyM.L., CurryD.J., BenceA.E., 2007. Predicting oil and gas compositional yields modeling (CS-CYM): Part 1 – concepts and implementation, Organic Geochemistry, V. 38, pp. 288–305.
    [Google Scholar]
  5. 5.KelemenS.R., AfeworkiM., GorbatyM.L., SansoneM., KwiatekP.J., WaltersC.C., FreundH., SiskinM., 2007. Direct characterization of kerogen by X-ray and solid-state 13C nuclear magnetic resonance methods, J. Energy and Fuels, V. 21, pp. 1548–1561.
    [Google Scholar]
  6. 6.PawarG., MeakinP., HuangH., 2013. Reactive molecular dynamics simulation of kerogen thermal maturation and crosslinking pathways, J. Energy and Fuels, V. 31, No. 11, pp. 11601–11614.
    [Google Scholar]
  7. 7.TissotB.P., WelteD.H., 1984. Petroleum formation and occurrence, p. 720.
    [Google Scholar]
  8. 8.UngererPh., CollellJ., YiannourakouM., 2015. Molecular modeling of the volumetric and thermodynamic properties of kerogen: influence of organic type and maturity, J. Energy Fuels, V. 24, No. 1, pp. 91–105.
    [Google Scholar]
  9. 9.UngererPh., LachetV., TavitianB., 2006. Applications of molecular simulation in oil and gas production and processing, J. Oil and Gas science and technology, V. 61, No. 3, pp. 387–403.
    [Google Scholar]
  10. 10.VandenbrouckeM., 2003. Kerogen: from types to models of chemical structure, J. Oil & Gas Science and Technology, V. 58, No. 2, pp. 243–269.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.202151029
Loading
/content/papers/10.3997/2214-4609.202151029
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error