An application of system identification techniques to impedance estimation in magnetotelluric surveying

Diana Ugryumova, Katrina Lau, Julio Braslavsky, Gjerrit Meinsma

    Research output: Chapter in Book/Report/Conference proceedingConference contributionAcademicpeer-review

    1 Citation (Scopus)
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    Abstract

    Magnetotelluric (MT) surveying is an Electromagnetic (EM) surveying technique used in geophysics and mineral exploration. The main problem in MT surveying is the estimation of the impedance of the ground, which is obtained as the ratio between the natural environmental electric and magnetic fields measured on the surface of the target area. Because these measurements are inherently corrupted by noise, the impedance estimate may be biased (Errors-In-Variables (EIV)), which is a difficulty well-known in MT literature and typically overcome by the use of additional independent measurements. This paper formulates the MT problem as a standard system identification problem, and uses output-error model structures to obtain scalar (SISO) and vector (TISO) ground impedance estimates. Estimation bias is minimised by selecting segments of data with high Signal-to-Noise Ratio (SNR). The SISO and TISO modelling approaches are discussed and compared on results obtained from experimental MT data.
    Original languageEnglish
    Title of host publication15th IFAC Symposium on System Identification 2009
    PublisherIFAC
    Pages970-975
    Number of pages6
    ISBN (Print)978-3-902661-47-0
    DOIs
    Publication statusPublished - 6 Jul 2009
    Event15th IFAC Symposium on System Identification, SYSID 2009 - Palais du Grand Large, Saint-Malo, France
    Duration: 6 Jul 20098 Jul 2009
    Conference number: 15

    Publication series

    NameIFAC Proceedings
    PublisherIFAC
    Number10
    Volume42
    ISSN (Print)1474-6670

    Conference

    Conference15th IFAC Symposium on System Identification, SYSID 2009
    Abbreviated titleSYSID
    Country/TerritoryFrance
    CitySaint-Malo
    Period6/07/098/07/09

    Keywords

    • METIS-265235
    • System Identification
    • errors-in-variables
    • EWI-16465
    • multisensorintegration
    • Impedance estimation
    • IR-69932
    • electromagnetic induction

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