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An application of Bayesian Inversion for Predicting Non-Hydrocarbon Mole Fractions in a Natural Gas Mixture
- Publisher: European Association of Geoscientists & Engineers
- Source: Conference Proceedings, 81st EAGE Conference and Exhibition 2019, Jun 2019, Volume 2019, p.1 - 5
Abstract
Frequently, molecules of carbon dioxide and nitrogen are present in a natural gas mixture. These non-hydrocarbon components have the potential for causing high errors in the prediction of acoustic velocity within the gas phase if proper corrections are not implemented in the standard procedures found in literature. Nevertheless, while mole fractions of non-hydrocarbon components are of high interest, molar composition of reservoir fluids are usually inaccessible at the exploration stage. The present work addresses this problem by implementing the tools provided by Bayesian Inversion, specifically the Metropolis Algorithm, in order to invert mole fractions of carbon dioxide and nitrogen from measured acoustic velocities of a natural gas mixture. The results demonstrate that the Metropolis algorithm provides a reasonable inversion, increasing the accuracy in the estimation of acoustic velocity.