Probabilistic Estimation of Reservoir Parameters Using the Complementary Nature of Seismic and mCSEM Data

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Considering the steadily declining prices in the oil and gas industry, nowadays, the requirement for geophysical information becomes more important in order to get the most out of available reservoirs. Electromagnetic measurements could complement seismic data where it lacks information. The EM response to fluid fill complements the resolving power of seismic data. In the current study, we use a probabilistic method to estimate reservoir parameters individually and jointly through two simplistic, synthetic, 2D reservoir models which can be considered as the geometrical limits of water-oil-contacts in oil and gas fields. We demonstrate a constructive contribution of the measurements with different physical natures in the estimation of reservoir parameters.
Original languageEnglish
Title of host publication82nd EAGE Conference & Exhibition 2020
Subtitle of host publication8-11 June 2020, Amsterdam, The Netherlands
Number of pages5
Publication statusPublished - 2020
Event82nd EAGE Annual Conference & Exhibition
- Amsterdam, Netherlands
Duration: 18 Oct 202121 Oct 2021


Conference82nd EAGE Annual Conference & Exhibition
Internet address

Bibliographical note

Green Open Access added to TU Delft Institutional Repository ‘You share, we take care!’ – Taverne project Otherwise as indicated in the copyright section: the publisher is the copyright holder of this work and the author uses the Dutch legislation to make this work public.


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