Ana G. Maldonado
Papers
1
Total Citations
8
H-Index
1
About
Ana G. Maldonado is a leading researcher in chemical enhanced oil recovery (EOR), with a primary focus on surfactant selection and formulation optimization. Her work bridges computational chemistry and petroleum engineering, most notably through the application of Quantitative Structure-Property Relationship (QSPR) methods to streamline the traditionally labor-intensive process of identifying high-performance surfactants for EOR. Her seminal 2013 paper, which has garnered 8 citations, introduced a predictive tool that pre-selects suitable surfactants, significantly reducing the time and cost of developing custom blends for specific reservoir conditions. This contribution addresses a critical bottleneck in chemical EOR, where surfactant formulations must be tailored to each case study. Maldonado’s research has direct implications for improving oil recovery efficiency and reducing environmental impact by minimizing trial-and-error experimentation. Her work is recognized for its interdisciplinary approach, combining molecular modeling with practical field applications, and continues to influence both academic research and industrial practices in enhanced oil recovery.
Research Focus
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Top Papers
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