Amine Tadjer
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Application of machine learning to assess the value of information in polymer flooding Open
In this work, we provide a more consistent alternative for performing value of information (VOI) analyses to address sequential decision problems in reservoir management and generate insights on the process of reservoir decision-making. Th…
Efficient Dimensionality Reduction Methods in Reservoir History Matching Open
Production forecasting is the basis for decision making in the oil and gas industry, and can be quite challenging, especially in terms of complex geological modeling of the subsurface. To help solve this problem, assisted history matching …
Machine learning based decline curve analysis for short-term oil production forecast Open
Traditional decline curve analyses (DCAs), both deterministic and probabilistic, use specific models to fit production data for production forecasting. Various decline curve models have been applied for unconventional wells, including the …
Managing Uncertainty in Geological CO2 Storage Using Bayesian Evidential Learning Open
Carbon capture and storage (CCS) has been increasingly looking like a promising strategy to reduce CO2 emissions and meet the Paris agreement’s climate target. To ensure that CCS is safe and successful, an efficient monitoring program that…