1887

Abstract

Summary

Continuous vertical variations of thermal conductivity were registered using optical scanning technique at 847 full-size core samples of the oil field located in West-Siberia. Target interval is highly heterogeneous and anisotropic oil-source rock – the Bazhenov formation. Thermal core logging and well logging data were integrated for shale reservoirs thermal conductivity prediction. Correlation analysis between neutron porosity and thermal conductivity was performed. The vertical resolution of the corresponding logging tool was considered. The obtained regression equation was used for thermal conductivity prediction. Mean absolute percentage error is 8 %. For shale oil thermal conductivity prediction volumetric mineralogical model from standard well logs was constructed. Using different mixing rules including the Liechtenecker equation vertical variations of thermal conductivity were predicted. Mean absolute percentage error is 6.6 %.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201900294
2019-04-28
2024-03-29
Loading full text...

Full text loading...

References

  1. Ellis, D. V., Case, C. R., & Chiaramonte, J. M.
    [2004] Porosity from Neutron Logs II: Interpretation. Society of Petrophysicists and Well-Log Analysts
  2. Fuchs, S. & Forster, A.
    [2014] Well-log based prediction of thermal conductivity of sedimentary successions: a case study from the North German Basin, Geophys. J. Int., 196, 291–311.
    [Google Scholar]
  3. Gegenhuber, N. & Schon, J.
    [2012] New approaches for the relationship between compressional wave velocity and thermal conductivity, J. appl Geophys., 76, 50–55.
    [Google Scholar]
  4. Hartmann, A., Rath, V. & Clauser, C.
    [2005] Thermal conductivity from core and well log data, Int. J. Rock Mech. Min. Sci., 42(7–8), 1042–1055.
    [Google Scholar]
  5. Lichtenecker, K.
    , 1924. Der elektrische Leitungswiderstand kunstlicher und naturlicher Aggregate, Physik. Zeitschr, 25, 169–181, 193–204, 226–233.
    [Google Scholar]
  6. Popov, E., Chekhonin, E., Popov, Y., Romushkevich, R., Gabova, A., ZhukovV.
    [2016b] New approach to study of the Bazhenov formation based on thermal core profiling. Nedropolzovanie XXI vek, 6, 52–61.
    [Google Scholar]
  7. Popov, Y., Beardsmore, G., Clauser, C., Roy, S.
    [2016a] ISRM Suggested Methods for Determining Thermal Properties of Rocks from Laboratory Tests at Atmospheric Pressure. Rock Mechanics and Rock Engineering, 49, 4179–4207. DOI: 10.1007/s00603‑016‑1070‑5
    https://doi.org/10.1007/s00603-016-1070-5 [Google Scholar]
  8. Popov, Yu., Chekhonin, E., Parshin, A., Law, D.H.-S., Pissarenko, D., Miklashevskiy, D., Popov, E., Spasennykh, M., Safonov, S., Romushkevich, R., Bayuk, I., Danilenko, A., Gerasimov, I., Ursegov, S., Konoplev, Yu., TaraskinE.
    [2013] Experimental investigations of spatial and temporal variations in rock thermal properties as necessary stage in thermal EOR. SPE Heavy Oil Conference, Calgary, Alberta, Canada, SPE-165474-MS. https://doi.org/10.2118/165474-MS.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201900294
Loading
/content/papers/10.3997/2214-4609.201900294
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