Uncertainty Handling of Reservoir Facies Modeling Using Stochastic Inversion

Autor: L. Schulte, Nestor Cardozo, V. Rotar, S. Manral
Rok vydání: 2019
Předmět:
Zdroj: 81st EAGE Conference and Exhibition 2019.
Popis: Summary Stochastic inversion delivers multiple alternative impedance cubes of higher resolution compared to deterministic inversion while honoring the seismic data. Consequently, it offers an alternative approach to capture the uncertainty in the property distribution because it allows addressing the impact of the limitation in the seismic resolution on the modelled reservoir property. This study compares the uncertainty estimation based on stochastic inversion with the Gauss simulation technique applied to facies modelling. Its final goal is to understand and quantify the benefit of using stochastic inversion in facies modeling and uncertainty estimation.
Databáze: OpenAIRE