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    Online-Ressource
    Online-Ressource
    Society of Exploration Geophysicists ; 2022
    In:  GEOPHYSICS Vol. 87, No. 2 ( 2022-03-01), p. E91-E101
    In: GEOPHYSICS, Society of Exploration Geophysicists, Vol. 87, No. 2 ( 2022-03-01), p. E91-E101
    Kurzfassung: Controlled-source electromagnetic methods have the potential to be used in reservoir monitoring problems due to their sensitivity to subsurface resistivity distribution. For example, time-lapse electromagnetic (EM) measurements can help to determine reservoir changes during enhanced oil recovery processes, such as water/steam injection or CO 2 sequestration. Although metal infrastructure, such as pipelines and casings, can strongly influence EM data and mask the underlying geologic response, these effects have not previously been quantified for time-lapse surveys. We have analyzed the effects of well casings on time-lapse surface-to-surface EM measurements using 1D and 3D modeling. First, using a synthetic example of an onshore 1D hydrocarbon reservoir, we quantified the effect of single and multiple casings at several source and receiver locations. We found that time-lapse responses are significantly distorted when a source or receiver is located near a casing. Next, we approximated a hydrocarbon reservoir as a thin bounded resistive sheet. We developed a method of moments algorithm to calculate the respective secondary currents and charges on a well casing and resistive sheet combination and validated the electric fields these secondary sources generate against finite-element modeling. Finally, we calculated and explicitly demonstrated time-lapse amplitude changes in the well casing-thin-sheet interaction matrix, secondary currents, charges, and surface electric fields. Our 3D modeling results indicated that the conductive casing reduces the ability of the resistive sheet to impede current flow and distorts time-lapse responses. Therefore, one cannot fully eliminate casing effects by subtraction of time-lapse data and must fully incorporate such infrastructure into forward models for time-lapse EM inversion.
    Materialart: Online-Ressource
    ISSN: 0016-8033 , 1942-2156
    RVK:
    Sprache: Englisch
    Verlag: Society of Exploration Geophysicists
    Publikationsdatum: 2022
    ZDB Id: 2033021-2
    ZDB Id: 2184-2
    SSG: 16,13
    Bibliothek Standort Signatur Band/Heft/Jahr Verfügbarkeit
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