1887
Volume 16, Issue 5
  • ISSN: 1569-4445
  • E-ISSN: 1873-0604

Abstract

ABSTRACT

The exploitation of a hydrocarbon reservoir, whether conventional or unconventional, may cause environmental damages. Even though sink wells used by oil companies are located much deeper than the aquifers, they may eventually contaminate the water with brine leakage, oil spill or other polluting agents, such as chemicals used in hydraulic fracturing. This makes vulnerability studies extremely important. In this work we aim to detect and characterize contamination of an aquifer that lies above an oil reservoir, at approximately 250 m depth, using electric current injected in the ground surface and voltage sensors installed in the well. At that depth, it is not usual to use downhole measurements to monitor the contaminated aquifer. This gave us the motivation to check if it was possible to identify the contamination of a part of the aquifer using surface‐downhole measurements. In order to achieve this we have designed an electrical model of the reservoir including the aquifer with either a conductive or resistive contaminant such as saline brine, oil spill or CO, and have numerically simulated the forward and inverse geoelectrical responses. Numerical results show that the detection of contamination is possible only with a surface‐downhole configuration. Our results illustrate the advantage of using the electrical resistivity tomography configuration in order to detect and characterize the contaminated deep aquifers.

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2018-09-04
2024-04-16
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References

  1. Abaqus 6.9 Unified Finite Element System
    Abaqus 6.9 Unified Finite Element System . 2009. DassaultSystèmesSimulia Corp., Rising Sun Mills, 166 Valley Street, Providence, RI, USA.
  2. ArchieG.E.1942. The electrical resistivity log as an aid in determining some reservoir characteristics. Transaction of American Institute of Mining, Metallurgical and Petroleum Engineers146, 54–62.
    [Google Scholar]
  3. ArthurM. and ColeD.R.2014. Unconventional hydrocarbon resources: prospects and problems. Elements10, 257–264.
    [Google Scholar]
  4. AtekwanaE. A., SauckW.A. and WerkemaD.D.2000. Investigations of geoelectrical signatures at a hydrocarbon contaminated site. Journal of Applied Geophysics44, 167–180.
    [Google Scholar]
  5. BergmannP., Schmidt‐HattenbergerC., KiesslingD., RückerC., LabitzkeT., HenningesJ.et al. 2012. Surface‐downhole electrical resistivity tomography applied to monitoring of CO2 storage at Ketzin, Germany. Geophysics77, B253–B267.
    [Google Scholar]
  6. BinleyA., KeeryJ., SlaterL., BarrashW. and CardiffM.2015. The hydrogeologic information in cross‐borehole complex conductivity data from an unconsolidated conglomeratic sedimentary aquifer. Geophysics81, E409–E421.
    [Google Scholar]
  7. BongiovanniM.V., GrünhutV., OsellaA. and TichnoA.2015. Numerical simulation of surface‐downhole geoelectrical measurements in order to detect brine plumes. Journal of Applied Geophysics116, 215–223.
    [Google Scholar]
  8. BongiovanniM.V., OsellaA., De la VegaM. and TichnoA.2013. Detection of brine plumes in an oil reservoir using the geoelectric method. Jorunal of Geophysical Engineering10, 1–9.
    [Google Scholar]
  9. CassianiG., BrunoV., VillaA., FusiN. and BinleyA. M.2006. A saline tracer test monitored via time‐lapse surface electrical resistivity tomography. Journal of Applied Geophysics59, 244–259.
    [Google Scholar]
  10. COMSOL AB
    COMSOL AB . 2017. COMSOL Multiphysics v. 5.3. Stockholm, Sweden.
  11. CosciaI., LindeN., GreenhalghS., VogtT. and GreenA.2012. Estimating traveltimes and groundwater flow patterns using 3D time‐lapse crosshole ERT imaging of electrical resistivity fluctuations induced by infiltrating river water. Geophysics77, E239–E250.
    [Google Scholar]
  12. De DonnoG. and CardarelliE.2017. Tomographic inversion of time‐domain resistivity and chargeability data for the investigation of landfills using a priori information. Waste Management59, 302–315.
    [Google Scholar]
  13. De la VegaM., OsellaA. and LascanoE.2003. Joint inversión of Wenner and dipole‐dipole data to study a gasoline contaminated zone. Journal of Applied Geophysics54, 97–109.
    [Google Scholar]
  14. DoetschJ., Ingeman‐NielsenT., ChristiansenA.V., FiandacaJ.L., AukenE. and ElberlingB.2015. Direct current (DC) resistivity and induced polarization (IP) monitoring of active layer dynamics at high temporal resolution. Cold Regions Science and Technology119, 16–28.
    [Google Scholar]
  15. EllisR.G. and OldenburgD.W.1994. Applied geophysical inversion. Geophysical Journal International116, 5–11.
    [Google Scholar]
  16. FriedelS.2003. Resolution, stability and efficiency of resistivity tomography estimated from a generalized inverse approach. Geophysical Journal International153, 305–316.
    [Google Scholar]
  17. GüntherT., RückerC. and SpitzerK.2006. Three‐dimensional modeling and inversion of dc resistivity data incorporating topography – part II: inversion. Geophysical Journal International166, 506–517.
    [Google Scholar]
  18. HeZ., ZhaoG., YuG., HeT. and WanH.2013. Borehole‐to‐surface TFEM technique applications in geologically complex areas. SEG Technical Program Expanded Abstracts32, 790–794.
    [Google Scholar]
  19. KemnaA., BinleyA. and SlaterL.2004. Crosshole IP imaging for engineering and environmental applications. Geophysics69, 97–107.
    [Google Scholar]
  20. KiesslingD., Schmidt‐HattenbergerC., SchuettH., SchillingF., KruegerK., SchoebelB., et al. 2010. Geoelectrical methods for monitoring geological CO2 storage: first results from cross‐hole and surface‐downhole measurements from the CO2 SINK test site at Ketzin (Germany). International Journal of Greenhouse Gas Control4, 816–826.
    [Google Scholar]
  21. MartinhoE. and AlmeidaF.2006. 3D behaviour of contamination in landfill sites using 2D resistivity/IP imaging: case studies in Portugal. Environmental Geology49, 1071–1078.
    [Google Scholar]
  22. MathisM.2011. Shale natural gas – water use management. Presentation to the Interstate Council on Water Policy Annual Meeting in St Louis, USA.
  23. MonegoM., CassianiG., DeianaR., PuttiM., PassadoreG. and Altissimo, L.2010. A tracer test in a shallow heterogeneous aquifer monitored via time‐lapse surface electrical resistivity tomography. Geophysics75, WA61–WA73.
    [Google Scholar]
  24. NguyenF., KemnaA., AntonssonA., EngesgaardP., KurasO., OgilvyR.et al. 2009. Characterization of seawater intrusion using 2D electrical imaging. Near Surface Geophysics7, 377–390.
    [Google Scholar]
  25. OldenburgD.W. and LiY.1999. Estimating depth of investigation in dc resistivity and IP surveys. Geophysics64, 403–416.
    [Google Scholar]
  26. PicottiS., GrünhutV., OsellaA., GeiD. and CarcioneJ.M.2013. Sensitivity analysis from single‐well ERT simulations to image CO2 migrations along wellbores. The Leading Edge32, 504–512.
    [Google Scholar]
  27. RobertT., CaterinaD., DeceusterJ., KaufmannO. and NguyenF.2012. A salt tracer test monitored with surface ERT to detect preferential flow and transport paths in fractured/karstified limestones. Geophysics77, B55–B67.
    [Google Scholar]
  28. RonckzaM., VobT. and GüntherT.2015. Cost‐efficient imaging and monitoring of saltwater in a shallow aquifer by using long electrode ERT. Journal of Applied Geophysics122, 202–209.
    [Google Scholar]
  29. RückerC. and GüntherT.2011. The simulation of finite ERT electrodes using the complete electrode model. Geophysics76, F227–F238.
    [Google Scholar]
  30. RuckerD.F., CrookN., WintertonJ., McNeilM., BaldygaC.A., NoonaG.et al. 2014. Real‐time electrical monitoring of reagent delivery during a subsurface amendment experiment. Near Surface Geophysics12, 151–163.
    [Google Scholar]
  31. Schmidt‐HattenbergerC., BergmannP., KeslingD., KrügerK., RückerC., ScüttH.et al. 2011. Application of a vertical electrical resistivity array (VERA) for monitoring CO2 migration at the Ketzin site: first performance evaluation. Energy Procedia4, 3363–3370.
    [Google Scholar]
  32. SiH.2015. TetGen, a Delaunay‐based quality tetrahedral mesh generator. ACM Transactions on Mathematical Software41, 1–36.
    [Google Scholar]
  33. TelfordW.M. and GeldartL.P. and SheriffR.E.1990. Applied Geophysics, 2nd edn. Cambridge University Press.
    [Google Scholar]
  34. UstraA.T., ElisV.R., MondelliG., ZuquetteL.V. and GiachetiH.L.2012. Case study: a 3D resistivity and induced polarization imaging from downstream a waste disposal site in Brazil. Environmental Earth Science66, 763–772.
    [Google Scholar]
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  • Article Type: Research Article
Keyword(s): Aquifer; Environmental; Inversion

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