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Birol Dindoruk

2 papers indexed

crossrefProcesses2026-06-30

Bulk CO2 Diffusivity in Brine and Porous Media: A Machine Learning Approach for Deep Saline Aquifer Conditions

Jose A. Benavides, Birol Dindoruk

Deep saline aquifers are among the most promising formations for long-term geological CO2 storage due to their extensive distribution and large storage capacity. Accurate estimation of the CO2 diffusion coefficient in brine is essential for modeling dissolution trapping, one of t…

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crossrefFuels2024-09-16Cited by 4

A Comparative Analysis of the Prediction of Gas Condensate Dew Point Pressure Using Advanced Machine Learning Algorithms

Thitaree Lertliangchai, Birol Dindoruk, Ligang Lu, Xi Yang, Utkarsh Sinha

Dew point pressure (DPP) emerges as a pivotal factor crucial for forecasting reservoir dynamics regarding condensate-to-gas ratio and addressing production/completion hurdles, alongside calibrating EOS models for integrated simulation. However, DPP presents challenges in terms of…

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