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Volume 57, Issue 6
  • E-ISSN: 1365-2478

Abstract

ABSTRACT

Adaptations of existing triaxial cells for ultrasonic P‐ and S‐wave measurements are well documented. This paper proposes further modification of such a cell so that also resistivity measurements can be carried out simultaneously at reservoir conditions. By employing the top cap and the pedestal of the cell as electrodes, axial resistivity measurements are now feasible. In order to minimize the polarization effect of this two‐electrode arrangement, careful analyses have been carried out to optimize the choice of electrode coating and measurement frequency band. Radial resistivity measurements are also included in the system by introducing a strap‐electrode system.

In a reservoir under production changes in both saturations, temperature (if steam injection) and stresses can take place. Therefore the modified triaxial system should be able to measure the integrated effects on the acoustic parameters and electric responses caused by variations in each of these parameters. The feasibility of the system to obtain such reliable information is demonstrated, employing a small selection of core samples. In the future such combined measurements on reservoir core samples can be used to link both seismic and electromagnetic observations to the actual earth model and constrain both modelling and inversion.

© 2009 European Association of Geoscientists & Engineers
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2009-03-23
2024-04-18

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References

  1. ArchieG.E.1942. The electrical resistivity log as an aid in determining some reservoir characteristics. Journal of Petroleum Technology5, 1–8.
    [Google Scholar]
  2. AizawaY., ItoK. and TatsumiY.2001. Experimental determination of compressional wave velocities of olivine aggregate up to 1000° C at 1 GPa. Tectonophysics339, 473–478.
    [Google Scholar]
  3. AizawaY., ItoK. and TatsumiY.2002. Compressional wave velocity of granite and amphibolite up to melting temperatures at 1 Gpa. Tectonophysics351, 255–261.
    [Google Scholar]
  4. AvsethP., MukerjiT., JørstadA., MavkoG. and VeggelandT.2001. Seismic reservoir mapping from 3‐D AVO in a North Sea turbidite system. Geophysics66, 1157–1176.
    [Google Scholar]
  5. BassiouniZ.1994. Theory, Measurement, and Interpretation of Well Logs . SPE. ISBN 1555630561.
    [Google Scholar]
  6. BatzleM. and WangZ.1992. Seismic properties of pore fluids. Geophysics57, 1396–1408.
    [Google Scholar]
  7. BergC.2007. An effective medium algorithm for calculating water saturations at any salinity or frequency. Geophysics72, E59–E67.
    [Google Scholar]
  8. BerreT.1981. Triaxial Testing at the Norwegian Geotechnical Institute . Norwegian Geotechnical Institute publication, No. 34.
    [Google Scholar]
  9. BerrymanJ.G.1992. Single‐scattering approximations for coefficients in Biot's equations of poroelasticity. Journal of the Acoustical Society of America91, 551–571.
    [Google Scholar]
  10. BerrymanJ.G., PrideS.R. and WangH.F.2002. A differential scheme for elastic properties of rocks with dry or saturated cracks. Geophysical Journal International151, 597–611.
    [Google Scholar]
  11. BirchF.1960. The velocity of compressional waves in rocks to 10 kilobars, Part 1. Journal of Geophysical Research65, 1083–1102.
    [Google Scholar]
  12. BirchF.1961. The velocity of compressional waves in rocks to 10 kilobars, Part 2. Journal of Geophysical Research66, 2199–2224.
    [Google Scholar]
  13. BulandA. and OmreH.2003. Bayesian linearized AVO inversion. Geophysics68, 185–198.
    [Google Scholar]
  14. BussianA.E.1983. Electrical conductance in a porous medium. Geophysics48, 9, 1258–1268.
    [Google Scholar]
  15. CarcioneJ. and TinivellaU.2001. The seismic response to overpressure: a modelling study based on laboratory, well and seismic data. Geophysical Prospecting49, 523–539.
    [Google Scholar]
  16. ChenJ., HoverstenG.M., VascoD., RubinY. and HouZ.2007. A Bayesian model for gas saturation estimation using marine seismic AVA and CSEM data. Geophysics72, WA85–WA95.
    [Google Scholar]
  17. ChristensenN.B. and DoddsK.2007. 1D inversion and resolution analysis of marine CSEM data. Geophysics72, WA27–WA38.
    [Google Scholar]
  18. ChryssanthakisP., RoseE., WesterdahlH., RhettD. and PedersonS.1999. High temperature triaxial tests with ultrasonic measurements on Ekofisk chalk. Rock Mechanics for Industry. Proceedings of the 37th Rock Mechanics Symposium , pp. 373–379.
    [Google Scholar]
  19. ClavierC., CoatesG. and DumanoirJ.1984. Theoretical and experimental bases for the dual‐water model for the interpretation of shaly sands. SPE Journal24, 153–168.
    [Google Scholar]
  20. ColeK.S. and CurtisH.J.1937. Wheatstone bridge and electrolytic resistor impedance measurements over a wide frequency range. Review of Scientific Instruments8, 833.
    [Google Scholar]
  21. ColeouT., AlloF., BornardR., HammanJ. and CaldwellD.2005. Petrophysical seismic inversion. 75th SEG meeting, Houston, Texas, USA, Expanded Abstracts, 1355–1359.
  22. ColomboD. and De StefanoM.2007. Geophysical modeling via simultaneous joint inversion of seismic, gravity and electromagnetic data: application to pre‐stack depth imaging. The Leading Edge26, 326–331.
    [Google Scholar]
  23. ConstableS. and SrnkaL.J.2007. An introduction to marine controlled‐source electromagnetic methods for hydrocarbon exploration. Geophysics72, WA3–WA12.
    [Google Scholar]
  24. DarnetM., ChooM.C.K., PlessixR.E., RosenquistM.L., CheongK.Y., SimsE. et al . 2007. Detecting hydrocarbon reservoirs from CSEM data in complex settings: Application to deepwater Sabah, Malaysia. Geophysics72, WA97–WA103.
    [Google Scholar]
  25. DonaldJ.A., ButtS.D. and IakovlevS.2004. Adaptation of a triaxial cell for ultrasonic P‐wave attenuation, velocity and acoustic emission measurements. International Journal of Rock Mechanics and Mining Sciences41, 1001–1011.
    [Google Scholar]
  26. Eberhart‐PhillipsD., HanD.H. and ZobackM.D.1989. Empirical relationship among seismic velocity, effective pressure, and clay content in sandstones. Geophysics54, 82–89.
    [Google Scholar]
  27. EidesmoT., EllingsrudS., MacGregorL.M., ConstableS., SinhaM.C., JohansenS. et al . 2002. Sea Bed Logging (SBL), a new method for remote and direct identification of hydrocarbon filled layers in deepwater areas. First Break20, 144–152.
    [Google Scholar]
  28. FaustL.Y.1953. A velocity function including lithologic variation. Geophysics18, 271–288.
    [Google Scholar]
  29. FreundD.1992. Ultrasonic compressional and shear velocity in dry elastic rocks as a function of porosity, clay content and confining pressure. Geophysical Journal International108, 125–135.
    [Google Scholar]
  30. FrickeH.1932. The theory of electrolyte polarization. Philosophical Magazine14, 310–318.
    [Google Scholar]
  31. GallardoL.A. and MejuM.A.2004. Joint two‐dimensional DC resistivity and seismic travel time inversion with cross gradient constraints. Journal of Geophysical Research109, 1–11.
    [Google Scholar]
  32. GassmannF.1951. Elasticity of porous media: Uber die Elastizitat poroser Medien. Vierteljahrsschrift der Naturforschenden Gesselschaft in Zurich96, 1–23.
    [Google Scholar]
  33. GeddesL.A., DaCostaC.P. and WiseG.1971. The impedance of stainless steel electrodes. Medical and Biological Engineering and Computing9, 511–521.
    [Google Scholar]
  34. GeliusL.J.2006. Modeling the response of a seafloor antenna in the limits of low frequency and shallow water. PIERS Online2, 580–584.
    [Google Scholar]
  35. GeliusL.J. and WangZ.2008. Modelling production caused changes in conductivity for a siliciclastic reservoir: A differential effective medium (DEM) approach. Geophysical Prospecting56, 677–691.
    [Google Scholar]
  36. GribenkoA. and ZhdanovM.2007. Rigorous 3D inversion of marine CSEM data based on the integral equation method. Geophysics72, WA73–WA84.
    [Google Scholar]
  37. GunningJ. and GlinskyM.E.2007. Detection of reservoir quality using Bayesian seismic inversion. Geophysics72, R37–R49.
    [Google Scholar]
  38. HarrisP and MacGregorL. 2006. Determination of reservoir properties from the integration of CSEM, seismic and well log data. First Break24, 53–59.
    [Google Scholar]
  39. HashinZ.1988. The differential scheme and its application to cracked materials. Journal of Mechanics and Physics of Solids36, 719–734.
    [Google Scholar]
  40. HeT. and SchmittD.2006. P‐ and S‐wave velocity measurements and pressure sensitivity analysis of AVA response. CSPG/CSEG/CWLS Joint Convention, Expanded Abstracts, 398–404.
  41. HoverstenG.M., CassassuceF., GasperikovaE., NewmanG.A., ChenJ., RubinY. et al . 2006. Direct reservoir parameter estimation using joint inversion of marine seismic AVA and CSEM data. Geophysics71, C1–C13.
    [Google Scholar]
  42. JacobsenM., HudsonJ.A., MinshullT.A. and SinghS.C.2000. Elastic properties of hydrate‐bearing sediments using effective medium theory. Journal of Geophysical Research105, 561–577.
    [Google Scholar]
  43. JanzG.J. and IvesD.J.G.1968. Silver‐silver chloride electrodes. Annals of the New York Academy of Sciences148, 210–221.
    [Google Scholar]
  44. JonesS.1995. Velocities and quality factors of sedimentary rocks at low and high effective pressure. Geophysical Journal International123, 774–780.
    [Google Scholar]
  45. JudyM.M. and EberleW.R.1969. A laboratory method for measurement of the dielectric constant of rock and soil samples in the frequency range 102–108 Hz. US Department of International Geological Surveys. Technical Report AFWL‐TR‐69‐41.
  46. KaselowA. and ShapiroS.A.2004. Stress sensitivity of elastic moduli and electrical resistivity in porous rocks. Journal of Geophysics and Engineering1, 1–11.
    [Google Scholar]
  47. KellerG.V.1953. Effect of wettability on the electrical resistivity of sand. Oil and Gas Journal51, 62–65.
    [Google Scholar]
  48. KernH.1990. Laboratory seismic measurements: an aid in the interpretation of seismic field data. Terra Nova2, 617–628.
    [Google Scholar]
  49. KhaksarA., GriffithsC.M. and McCannC.1999. Compressional‐ and shear‐wave velocities as a function of confining stress in dry sandstones. Geophysical Prospecting47, 487–508.
    [Google Scholar]
  50. KingM.S., ZimmermanR.W. and CorwinR.F.1988. Seismic and electrical properties of unconsolidated permafrost. Geophysical Prospecting36, 349–364.
    [Google Scholar]
  51. KleinJ.D., MartinP.R. and AllenD.F.1995. The petrophysics of electrically anisotropic reservoirs. 36th Annual Logging Symposium Transactions, Society of Professional Well Log Analysts, Expanded Abstracts, HH.
  52. KongF.N., JohnstadS.E., RøstenT. and WesterdahlH.2008. A 2.5D finite‐element‐modeling difference method for marine CSEM modeling in stratified anisotropic media. Geophysics73, F9–F19.
    [Google Scholar]
  53. LapatkiB.G., StegemanD.F. and JonasI.E.2003. A surface EMG electrode for the simultaneous observation of multiple facial muscles. Journal of Neuroscience Methods123, 117–128.
    [Google Scholar]
  54. LesmesD.P.1993. Electrical‐impedance spectroscopy of sedimentary rocks . PhD thesis, Texas A&M University.
    [Google Scholar]
  55. LesmesD.P. and FryeK.V.2001. Influence of pore fluid chemistry on the complex conductivity and induced polarization response of Berea sandstone. Journal of Geophysical Research106, 4079–4090.
    [Google Scholar]
  56. LiY. and ConstableS.2007. 2D marine controlled‐source electromagnetic modeling: Part 2 – The effect of bathymetry. Geophysics72, WA63–WA71.
    [Google Scholar]
  57. LiY. and KeyK.2007. 2D marine controlled‐source electromagnetic modeling: Part 1 – An adaptive finite‐element algorithm. Geophysics72, WA51–WA62.
    [Google Scholar]
  58. Lima deO.A‐L. and SharmaM.M.1990. A grain conductivity approach to shaly sandstones. Geophysics55, 1347–1356.
    [Google Scholar]
  59. MarkovM., LevineV., MousatovA. and KazatchenkoE.2005. Elastic properties of double‐porosity rocks using the differential effective medium model. Geophysical Prospecting53, 733–754.
    [Google Scholar]
  60. MarshallD.J. and MaddenT.R.1959. Induced polarization: A study of its causes. Geophysics24, 790–816.
    [Google Scholar]
  61. McAdamsE.T., LackermeierA., McLaughlinJ.A. and MackenD.1995. The linear and non‐linear electrical properties of the electrode‐electrolyte interface. Biosensors & Bioelectronics10, 67–74.
    [Google Scholar]
  62. MendelsonK.S. and CohenM.H.1982. The effect of grain anisotropy on the electrical properties of sedimentary rocks. Geophysics47, 257–263.
    [Google Scholar]
  63. MirtaheriP., GrimnesS. and MartinsenØ.G.2005. Electrode polarization impedance in weak NaCl aqueous solution. IEEE Transactions on Biomedical Engineering52, 2093–2099.
    [Google Scholar]
  64. NeprochnovY.P. and GanzhaO.Y.2006. Methodology for wide‐angle seismic modeling of marine gas hydrate deposits. Oceanology46, 582–591.
    [Google Scholar]
  65. OlhoeftG.R.1979. Electrical properties: Initial report of the Petrophysics Laboratory. US Geological Survey Circular789, 1–25.
    [Google Scholar]
  66. PrasadM. and ManghnaniM.H.1997. Effects of pore and differential pressure on compressional wave velocity and quality factor in Berea and Michigan sandstones. Geophysics62, 1163–1176.
    [Google Scholar]
  67. RaghebT. and GeddesL.A.1990. The electrical properties of metallic electrodes. Medical and Biological Engineering and Computing28, 182–186.
    [Google Scholar]
  68. RaghebT. and GeddesL.A.1991. The polarization impedance of common electrode metals operated at low current density. Annals of Biomedical Engineering19, 151–163.
    [Google Scholar]
  69. SaegerE.H. and ShapiroS.A.2002. Effective velocities in fractured media: a numerical study using the rotated staggered finite‐difference grid. Geophysical Prospecting50, 183–194.
    [Google Scholar]
  70. SchwanH.P. and FerrisC.D.1968. Four‐electrode null technique for impedance measurements with high resolution. Review of Scientific Instruments39, 481–483.
    [Google Scholar]
  71. SenP.N. and GoodeP.A.1992. Influence of temperature on electrical conductivity of shaly sands. Geophysics57, 89–96.
  72. SeymourR.H., ZimmermanR.W. and WhiteR.E.2003. Multiple porosity differential effective medium models – improvements and approximations. 65th EAGE meeting, Stavanger, Norway, Expanded Abstracts, E18.
  73. ShapiroS.2003. Piezosensitivity of porous and fractured rocks. Geophysics68, 482–486.
    [Google Scholar]
  74. SondergeldC.H. and RaiC.S.2007. Velocity and resistivity changes during freeze‐thaw cycles in Berea sandstone. Geophysics72, E99–E105.
    [Google Scholar]
  75. SrnkaL., CarazzoneJ., EphronM. and EriksenE.2006. Remote reservoir resistivity mapping. The Leading Edge25, 972–975.
    [Google Scholar]
  76. TaylorS. and BarkerR.2002. Resistivity of partially saturated Triassic sandstone. Geophysical Prospecting50, 603–613.
    [Google Scholar]
  77. VinegarH.J. and WaxmanM.H.1984. Induced polarization of shaly sands. Geophysics49, 1267–1287.
    [Google Scholar]
  78. WangZ. and GeliusL.‐J.2007. Modeling of seabed logging data for a sand‐shale reservoir. PIERS Online3, 236–240.
    [Google Scholar]
  79. WangZ., GeliusL.‐J. and KongF.N.2007. Influence of temperature on seabed logging Response of a sand‐shale reservoir. 69th EAGE meeting, London, UK, Expanded Abstracts, D044.
  80. WangZ. and NurA.1990. Wave velocities in hydrocarbon‐saturated rocks: Experimental results. Geophysics55, 723–733.
    [Google Scholar]
  81. WarburgE.1899. Ueber das Verhalten sogenannter unpolarisierbarer elektroden gegen wechselstrom. Annalen der Physik und Chemie67, 493–499.
    [Google Scholar]
  82. WaxmanM.H. and SmitsL.J.M.1968. Electrical conductivities in oil‐bearing shaly sands. SPE Journal243, 668–705.
    [Google Scholar]
  83. WinklerK. and PlonaT.J.1982. Techniques for measuring ultrasonic velocity and attenuation spectra in rocks under pressure. Journal of Geophysical Research87, 10776–10780.
    [Google Scholar]
  84. WyllieM.R.J. and SouthwickP.F.1954. An experimental investigation of the SP and resistivity phenomena in dirty sands. Journal of Petroleum Technology6, 44–57.
    [Google Scholar]
  85. YuL., FaniniO.N., KriegshauserB.F., KoelmanJ.M. and Van PoptaJ.2001. Enhanced evaluation of low‐resistivity reservoirs using multi‐component induction log data. Petrophysics42, 611–623.
    [Google Scholar]
  86. ZimmermanR.D.1985. The effect of microcracks on the elastic moduli of brittle materials. Journal of Material Science Letters4, 1457–1460.
    [Google Scholar]
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Simultaneous core sample measurements of elastic properties and resistivity at reservoir conditions employing a modified triaxial cell – a feasibility study
Geophysical Prospecting 57, 1009 (2009); https://doi.org/10.1111/j.1365-2478.2009.00792.x
/content/journals/10.1111/j.1365-2478.2009.00792.x
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