1887

Abstract

Summary

The work is dedicated to the development of a new downhole resistivity microimaging tool for logging while drilling (LWD) in oil and gas wells. The purpose of this research is to create algorithms and software for mathematical modelling of tool signals and to define the area of its application using realistic geoelectric models. In order to study the possibilities of the tool in the proposed configuration, the algorithm and the software for 3D simulation of electrical signals have been developed. By utilizing this software the mathematical modelling of the LWD resistivity microimager signals have been performed for realistic geoelectric models: an inclined boundary of the layers with different resistivity and a horizontal fracture filled with a conducting drilling fluid. An analysis of the simulated signals shows that the tool can detect thin fractures or layers with a thickness similar to the diameter of the current electrodes. The application of standard interpretation techniques to the obtained images showed that the inclination angle of the intersected boundaries can be determined with the accuracy of ±2°.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201801679
2018-06-11
2020-07-14
Loading full text...

Full text loading...

References

  1. Akselrod, S.M.
    [2012] Advanced geosteering methods when drilling horizontal wells. Karotazhnik, 219, 87–122.
    [Google Scholar]
  2. Bittar, M., Chemali, R., Morys, M., Wilson, J., Hveding, F., Li, S., Knizhnik, S.
    [2008] The “Depth-of-Electrical Image” a key parameter in accurate dip computation and geosteering. SPWLA 49th Annual Logging Symposium, Paper TT.
    [Google Scholar]
  3. Bloemenkamp, R., Zhang, T., Comparon, L., Laronga, R., Yang, S., Marpaung, S., Guinois, E.M., Valley, G., Vessereau, P., Shalaby, E., Li, B., Kumar, A., Kear, R., Yang, Yu.
    [2014] Design and field testing of a new high-definition microresistivity imaging tool engineered for oil-based mud. SPWLA 55th Annual Logging Symposium, Paper KK.
    [Google Scholar]
  4. Desroches, J., Wileveau, Y., Etchecopar, A., Diaz, E., Cantini, S., Blum, M.S.
    [2005] Combination of microhydraulic fracturing and wellbore images provides measurement of the full stress tensor: a case study. SPWLA 46th Annual Logging Symposium, Paper X.
    [Google Scholar]
  5. Epov, M.I., Glinskikh, V.N., Sukhorukova, K.V., Nikitenko, M.N., Eremin, V.N.
    [2015] Forward modeling and inversion of LWD induction data. Russian Geology and Geophysics, 2015, 56(8), 1194–1200.
    [Google Scholar]
  6. Epov, M.I., Nikitenko, M.N., Glinskikh, V.N., Eremin, V.N.
    [2016] Studying the electric macroanisotropy in deviated and horizontal boreholes according to high-frequency induction logging while drilling data. Karotazhnik, 269, 94–109.
    [Google Scholar]
  7. Glinskikh, V.N., Nikitenko, M.N., Danilovsky, K.N., Eremin, V.N., Moskaev, I.A.
    [2017] Telemetry logging systems: software-methodical support while drilling deviated and horizontal wells. Neftegaz.RU, 10, 42–49.
    [Google Scholar]
  8. Glinskikh, V.N., Nikitenko, M.N., Epov, M.I., Eremin, V.N.
    [2017] Algorithms and software for geosteering according to LWD EM data. Horizontal Wells 2017 Challenges and Opportunities: 2d Scientific Conference, 3G05 (Abstract).
    [Google Scholar]
  9. Nikitenko, M.N., Epov, M.I., Glinskikh, V.N., Suhorukova, K.V., Eremin, V.N.
    [2014] Development of LWD High-frequency Resistivity Tool. Saint Petersburg 2014. Geosciences – Investing in the Future, Extended abstracts, Th D 05.
    [Google Scholar]
  10. NikitenkoM.N., GlinskikhV.N., EreminV.N., EpovM.I.
    [2016] High-frequency LWD electromagnetic measurements applied to studying macroanisotropic properties of thin-bedded sedimentary deposits. 2016 SPE Russian Petroleum Technology Conference and Exhibition, SPE-182088-MS (Abstract).
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201801679
Loading
/content/papers/10.3997/2214-4609.201801679
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