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Three-dimensional inversion of gravity data using the Levy PDF for depth weighting and a rank order smoothing Constraint

Identifikátory výsledku

  • Kód výsledku v IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F67985530%3A_____%2F25%3A00619730" target="_blank" >RIV/67985530:_____/25:00619730 - isvavai.cz</a>

  • Výsledek na webu

    <a href="https://link.springer.com/article/10.1007/s11004-024-10173-2" target="_blank" >https://link.springer.com/article/10.1007/s11004-024-10173-2</a>

  • DOI - Digital Object Identifier

    <a href="http://dx.doi.org/10.1007/s11004-024-10173-2" target="_blank" >10.1007/s11004-024-10173-2</a>

Alternativní jazyky

  • Jazyk výsledku

    angličtina

  • Název v původním jazyce

    Three-dimensional inversion of gravity data using the Levy PDF for depth weighting and a rank order smoothing Constraint

  • Popis výsledku v původním jazyce

    Three-dimensional inversion of gravity data consists of an ill-posed and underdetermined system of equations. To overcome this problem, inversions are generally regularized using various stabilizing functionals, and depth weighting is also often implemented to adjust depths of the recovered structures due to the lack of depth resolution of vertical component gravity data. By exploiting the ease of implementation of nonlinear filters such as smoothing operators, we demonstrated rank order smoothing as a nonlinear constraint to regularize the three-dimensional gravity inversion problem and applied a new depth weighting scheme based on the Levy probability density function. Synthetic experiments showed that the rank order smoothing successfully provides boundary information by eliminating low-frequency fluctuations in the recovered models while minimizing the observed-calculated data misfit. The proposed depth weighting approach was found to be able to emphasize depths in which anomalous structures are considered to be more probable. Thereafter, the proposed inversion scheme was demonstrated on field gravity data collected in the SinanpasanGraben in western Turkey to reveal faults and the general basin structure. The results suggest that rank order smoothing can produce models that agree with the geology and are easier to interpret.

  • Název v anglickém jazyce

    Three-dimensional inversion of gravity data using the Levy PDF for depth weighting and a rank order smoothing Constraint

  • Popis výsledku anglicky

    Three-dimensional inversion of gravity data consists of an ill-posed and underdetermined system of equations. To overcome this problem, inversions are generally regularized using various stabilizing functionals, and depth weighting is also often implemented to adjust depths of the recovered structures due to the lack of depth resolution of vertical component gravity data. By exploiting the ease of implementation of nonlinear filters such as smoothing operators, we demonstrated rank order smoothing as a nonlinear constraint to regularize the three-dimensional gravity inversion problem and applied a new depth weighting scheme based on the Levy probability density function. Synthetic experiments showed that the rank order smoothing successfully provides boundary information by eliminating low-frequency fluctuations in the recovered models while minimizing the observed-calculated data misfit. The proposed depth weighting approach was found to be able to emphasize depths in which anomalous structures are considered to be more probable. Thereafter, the proposed inversion scheme was demonstrated on field gravity data collected in the SinanpasanGraben in western Turkey to reveal faults and the general basin structure. The results suggest that rank order smoothing can produce models that agree with the geology and are easier to interpret.

Klasifikace

  • Druh

    J<sub>imp</sub> - Článek v periodiku v databázi Web of Science

  • CEP obor

  • OECD FORD obor

    10505 - Geology

Návaznosti výsledku

  • Projekt

  • Návaznosti

    I - Institucionalni podpora na dlouhodoby koncepcni rozvoj vyzkumne organizace

Ostatní

  • Rok uplatnění

    2025

  • Kód důvěrnosti údajů

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Údaje specifické pro druh výsledku

  • Název periodika

    Mathematical Geosciences

  • ISSN

    1874-8961

  • e-ISSN

    1874-8953

  • Svazek periodika

    57

  • Číslo periodika v rámci svazku

    3

  • Stát vydavatele periodika

    DE - Spolková republika Německo

  • Počet stran výsledku

    23

  • Strana od-do

    523-545

  • Kód UT WoS článku

    001395454100001

  • EID výsledku v databázi Scopus

    2-s2.0-85217424790