Resistivity Logging-While-Coring with Toroidal Coils: Mathematical Modeling
https://doi.org/10.18599/grs.2026.2.13
Abstract
For the first time in the world practice, we have proposed transmitter-receiver systems with toroidal coils for evaluating the electrical resistivity of a cylindrical sample during core drilling. Two locations of the toroidal coils are considered: either in an insulating fiberglass pipe or in a highly conductive non-magnetic metal pipe, both inside a ferromagnetic steel outer core barrel. We have elaborated an algorithm for two-dimensional finite-difference modeling of electrical and magnetic signals from an external circular magnetic harmonic current equivalent to a toroidal coil, with regard to the magnetic permeability of the outer core barrel. Two-dimensional numerical modeling of the real (in-phase) and imaginary (quadrature) parts of the electric field vertical component and the magnetic field tangential component is conducted for typical terrigenous core resistivities. Subsequent to the numerical modeling results, the optimal lengths of the logging-while-coring systems, as well as the operating frequencies and measured signal types have been chosen when the coils are located either in the fiberglass or in non-magnetic metal pipe. Further, we come up with transforms of the measured signals into apparent resistivity values for vertically-variable core samples. Finally, we have worked out criteria for the consistency between the signals measured in thin-layered and equivalent electrically macroanisotropic cores while varying the resistivity contrast and interlayer thickness.
About the Authors
M. I. EpovRussian Federation
Mikhail I. Epov – DSc (Engineering), Professor, RAS Academician, Scientific Director
3 Ac. Koptyug av., Novosibirsk, 630090
I. V. Mikhaylov
Russian Federation
Igor V. Mikhaylov – PhD (Engineering), Senior Researcher; Associate Professor
3 Ac. Koptyug av., Novosibirsk, 630090;
1 Pirogova St., Novosibirsk, 630090
I. V. Surodina
Russian Federation
Irina V. Surodina – PhD (Physics and Mathematics), Senior Researcher
3 Ac. Koptyug av., Novosibirsk, 630090
M. N. Nikitenko
Russian Federation
Marina N. Nikitenko – DSc (Engineering), Lead Researcher
3 Ac. Koptyug av., Novosibirsk, 630090
V. G. Mamyashev
Russian Federation
Vener G. Mamyashev – PhD (Geology and Mineralogy), Associate Professor
38 Volodarskogo St., Tyumen, 625000
References
1. Ashena R., Thonhauser G. (2018). Coring Methods and Systems. Switzerland: Springer International Publishing AG, 243 p.
2. Ashena R., Vortisch W., Prohaska M., Thonhauser G. (2016). Innovative Concepts in Wireline Continuous Coring. Proc. SPE Bergen One Day Seminar. Bergen, Norway, SPE-180017-MS. https://doi.org/10.2118/180017-MS
3. Berger P.E. (2018). Intelligent Coring System. US Patent, US9879493B2. Pub. Date: Jan. 30, 2018.
4. Bittar M., Aki A. (2015). Advancement and economic benefit of geosteering and well-placement technology. The Leading Edge, 34(5), pp. 524–528. https://doi.org/10.1190/tle34050524.1
5. Carpenter C. (2016). Innovative Concepts in Wireline Continuous Coring. Journal of Petroleum Technology, 68(8), pp. 60–62. https://doi.org/10.2118/0816-0060-JPT
6. David C., Robion P., Louis L. (2017). A single laboratory setup for investigating the anisotropy of both seismic and electrical properties in core samples. Geophysical Journal International, 210(3), pp. 1595–1608. https://doi.org/10.1093/gji/ggx248
7. de Boor C. (2001). A Practical Guide to Splines (Revised Edition). Applied Mathematical Sciences, 27. New York: Springer–Verlag, 349 p.
8. Epov M.I., Nikitenko M.N., Glinskikh V.N. (2018). Mathematical substantiation of a new electromagnetic tool with toroidal coils for high-resolution logging of oil and gas wells. Vestnik NSU. Series: Information Technologies, 16(1), pp. 113–129. (In Russ.) https://doi.org/10.25205/1818-7900-2018-16-1-113-129
9. Epov M.I., Mamyashev V.G., Mikhaylov I.V., Surodina I.V., Nikitenko M.N. (2024). Application of Toroidal Coils to Obtain Electrical Resistivity of Core Samples: Mathematical Modeling. Georesursy = Georesources, 26(3), pp. 151–161. (In Russ.) https://doi.org/10.18599/grs.2024.3.16
10. Galkin S.V., Kolychev I.Yu., Savitskii Ya.V. (2019). Potentialities of Investigation of Reservoir Hydrophobization by Compilation of X-Ray Core Tomography and Lateral Logging. Russian Geology and Geophysics, 60(10), pp. 1195–1204. https://doi.org/10.15372/RGG2019094
11. Goldberg D., Myers G. (2007). Logging-while-coring method and apparatus. US Patent, US7293613B2. Pub. Date: Nov. 13, 2007.
12. Goldberg D., Myers G., Grigar K., Pettigrew T., Mrozewski S., Arceneaux C., Collins T. (2003). Logging-while-coring – New Technology Advances Scientific Drilling. Trans. SPWLA 44th Annual Logging Symposium. Galveston, Texas, USA, SPWLA-2003-CC.
13. Goldberg D., Myers G., Iturrino G., Grigar K., Pettigrew T., Mrozewski S. (2004). Logging-while-coring – First tests of a new technology for scientific drilling. Petrophysics, 45(4), pp. 328–334.
14. Goldberg D., Myers G., Iturrino G., Grigar K., Pettigrew T., Mrozewski S. (2006). Logging-while-coring – new technology for the simultaneous recovery of downhole cores and geophysical measurements. Geological Society of London Special Publications, New Techniques in Sediment Core Analysis, 267(1), pp. 219–228. https://doi.org/10.1144/GSL.SP.2006.267.01.16
15. Manuaba I.B.G.H., Aljishi M., Van Steene M., Dolan J. (2024) LoggingWhile-Drilling Laterolog vs. Electromagnetic Propagation Measurements: Which Is Telling the True Resistivity? SPE Journal, 29(8), pp. 4000–4013. https://doi.org/10.2118/219772-PA
16. Hou Z., Cao D., Liu Q., Su Y., Ma Y., Zhou Z. (2023) An intelligent method for reconstructing large-size digital rocks by joining multi-dimension information. Geoenergy Science and Engineering, 228, 212049, pp. 1–17. https://doi.org/10.1016/j.geoen.2023.212049
17. Isakova T.G., Diakonova T.F., Nosikova A.D., Kalmykov G.A., Akinshin A.V., Yatsenko V.M. (2021). Predictive assessment of the fluid loss properties of thin-layer reservoirs of Vikulovskaya series based on the results of core and well logs. Georesursy = Georesources, 23(2), pp. 170–178. (In Russ.) https://doi.org/10.18599/grs.2021.2.17
18. Kadhim F.S., Imran A.M., Rasool Y.F. (2020). Using NMR, Core Analysis, and Well Logging Data to Predict Permeability of Carbonate Reservoirs: a Case Study. IOP Conference Series: Materials Science and Engineering, 671, 012071, pp. 1–10. https://doi.org/10.1088/1757-899X/671/1/012071
19. Khairullin B.Yu., Kurbanov Ya.M., Mamyashev V.G., Fedortsov V.V., Sekisov A.V., Golykh A.N. (2022). Advanced Solutions in Coring and Analysis of High Informativity Core Rocks. Geologija i nedropol’zovanie, 1, pp. 102–113. (In Russ.)
20. Latypova М.R., Pereponov D.I., Kazaku V.V., Scerbacova А., Maryasev I.G., Mukhin R.А., Shilov Е.D., Cheremisin А.N., Kosorukov V.L., Churkina V.V., Tarkhov М.А., Shtinov V.А., Nigmatullin Т.E., Batyrshin E.S., Samsonov I.V. (2025). Repetition of the Void Space Structure of Achimov Sandstones of the East Urengoyskoye Field in Artificially Created Geometry of a Silicon Microfluidic Chip. Georesursy = Georesources, 27(1), pp. 63–80. (In Russ.) https://doi.org/10.18599/grs.2025.1.2
21. Melkishev O.A., Savitsky Y.V., Galkin S.V. (2024). The Application of Artificial Digital Models in X-Ray Computed Tomography (CT) of the Core in Solving the Problem of Binarization of the Void Space of Reservoir Rocks. Georesursy = Georesources, 26(4), pp. 218–228. (In Russ.) https://doi.org/10.18599/grs.2024.4.11
22. Mirza D., Birkeland K., Øy L., Chemali R., Barrouillet B. (2024). Core Scanner for Electrical Profiling of Full-Bore Cores at the Well Site with Advanced Pulse Electromagnetic Technology. Trans. SPWLA 65th Annual Logging Symposium. Rio de Janeiro, Brazil, SPWLA-2024-0098. https://doi.org/10.30632/SPWLA-2024-0098
23. Muraoka M., Yoneda J., Jin Y., Hattori T., Imai T., Suzuki K. (2023). Thermal properties of pressure core samples recovered from Nankai Trough wells before and after methane hydrate dissociation. Earth and Space Science, 10, e2022EA002446, pp. 1–32. https://doi.org/10.1029/2022EA002446
24. Myers G., Schroeder D., Keogh W., Grigar K., Masterson W. (2006). Coring Dynamics: Data Acquisition While Coring. Proc. Offshore Technology Conference. Houston, Texas, USA, OTC-17920-MS. https://doi.org/10.4043/17920-MS
25. Novikov A.V., Gubinsky D.N., Zaray E.F. (2021). Logging while drilling – efficient time management and reliable base for estimating volumetric parameters of a reservoir. Aktual’nye problemy nefti i gaza, 3(34), pp. 49–60. (In Russ.). https://doi.org/10.29222/ipng.2078-5712.2021-34.art4
26. Nunez Y., Al Nuaimi M.A., Adene O., Al Hammadi A., Ruiz F., Al Hamlawi I., Escorcia A., Baptista L., Labbassen, N., Radovanovic A., Berger P.E., Mätzel A. (2023). First Field Worldwide Trial: Advanced Coring System, A Disruptive Technology Applied in Abu Dhabi, UAE. To Provide Real-Time Logging while Coring, Saving Rig Time and Opening a New Era in this Operation. Proc. SPE/IADC Middle East Drilling Technology Conference and Exhibition. Abu Dhabi, UAE, SPE/IADC-214594-MS. https://dx.doi.org/10.2118/214594-MS
27. Nunez Y., Al Nuaimi M.A., Al Hammadi A., Radovanovic A., Berger P.E., Mätzel A. (2024). Advanced Coring System: A Disruptive Technology for Real-Time Logging While Coring, Saving Rig Time and Revolutionizing Operations in Abu Dhabi, UAE. Proc. Offshore Technology Conference Asia. Kuala Lumpur, Malaysia, OTC-34713-MS. https://doi.org/10.4043/34713-MS
28. Pavlov M., Peshkov G., Katterbauer K., Alshehri A. (2024). Geosteering based on resistivity data and evolutionary optimization algorithm. Applied Computing and Geosciences, 22, 100162, pp. 1–14. https://doi.org/10.1016/j.acags.2024.100162
29. Ponomarev A.A., Zavatsky M.D., Nurullina T.S., Kadyrov M.A., Galinsky K.A., Tugushev O.A. Application of core X-ray microtomography in oilfield geology (2021). Georesursy = Georesources, 23(4), pp. 34–43. (In Russ.) https://doi.org/10.18599/grs.2021.4.4
30. Rodivilov D.B., Kokarev P.N., Mamyashev V.G. (2018). Gas saturation evaluation of unconventional reservoirs in northern West Siberia Senonian sediments. Karotazhnik, 9, pp. 18–25. (In Russ.)
31. Samarskii A.A., Nikolaev E.S. (1978). Methods for Solving Grid Equations. Мoscow: Nauka, 592 p. (In Russ.)
32. Saputera D.H., Jakobsen M., van Dongen K.W.A., Jahani N., Eikrem K.S., Alyaev S. (2024). 3-D induction log modelling with integral equation method and domain decomposition pre-conditioning. Geophysical Journal International, 236(2), pp. 834–848. https://doi.org/10.1093/gji/ggad454
33. Sinha S., Walmsley A., Clegg N., Vicuña B., McGill A., dos Reis T.P., Nygård M.T., Ulfsnes G.Å., Constable M.V., Antonsen F., Danielsen B.E. (2022). Past, present and future applications of ultra-deep directional resistivity measurements: a case history from the Norwegian continental shelf. Petrophysics, 63(6), pp. 604–633. https://doi.org/10.30632/PJV63N6-2022a3
34. Svetov B.S. (1984). Electrodynamic foundations of quasi-stationary geoelectrics. Moscow: IZMIRAN, 183 p. (In Russ.)
35. Volonté G., Bersani A., Berto R., Cerri R., Pinelli F. (2023). Integrated workflow for rotary sidewall cores orientation: best practices and examples from planning to execution. E3S Web of Conferences, 366, 01012, pp. 1–8. https://doi.org/10.1051/e3sconf/202336601012
36. Zauner M., Weller A., Halisch M. (2020). Laboratory core investigations of sandstone-hosted uranium for in situ recovery. Applied Earth Science, 129(1), pp. 27–40. https://doi.org/10.1080/25726838.2019.1708665
37. Zhang Z., Tang J., Fan B., Zhao X., Jin F., Chen C., Chen Z., Chen S., Song Y., Yang J. (2024). An intelligent lithology recognition system for continental shale by using digital coring images and convolutional neural networks. Geoenergy Science and Engineering, 239, 212909, pp. 1–13. https://doi.org/10.1016/j.geoen.2024.212909
Review
For citations:
Epov M.I., Mikhaylov I.V., Surodina I.V., Nikitenko M.N., Mamyashev V.G. Resistivity Logging-While-Coring with Toroidal Coils: Mathematical Modeling. Georesursy = Georesources. 2026;28(2):133-151. (In Russ.) https://doi.org/10.18599/grs.2026.2.13
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