Carla Kathryn Co
About Carla Kathryn Co
Carla Kathryn Co is a Reservoir Simulation Engineer at Chevron in Houston, Texas, with extensive experience in petroleum engineering and a strong academic background from Stanford University and the University of the Philippines.
Current Position at Chevron
Carla Kathryn Co currently holds the position of Reservoir Simulation Engineer at Chevron. She operates out of Houston, Texas, where she applies her extensive expertise in reservoir simulation to enhance the company's operational efficiency.
Past Roles at Chevron
Before her current role, Carla Kathryn Co accumulated extensive experience at Chevron through various roles. She worked as a Petroleum Engineering Intern from 2012 to 2016 in Houston, Texas. Prior to that, she served as a Reservoir Engineer at Chevron Geothermal from 2008 to 2011. Her early career also included a brief stint as a Facilities Engineering Intern at Chevron Geothermal in 2007.
Educational Background
Carla Kathryn Co has a strong academic background in energy and chemical engineering. She earned a Doctor of Philosophy (Ph.D.) in Energy Resources Engineering from Stanford University between 2012 and 2017. She also has a Master of Science degree in Energy Resources Engineering (Petroleum Engineering) from Stanford, completed from 2010 to 2012. Her foundational education includes a Bachelor of Science in Chemical Engineering from the University of the Philippines (UP), which she obtained between 2003 and 2008.
Technical Contributions
Carla Kathryn Co has made notable technical contributions in her field. She developed a Python-based drilling sequence optimization code utilizing a genetic algorithm, significantly boosting profitability and safety in a two-month period. Additionally, she has implemented rule-based machine learning techniques to optimize well productivity and reduce simulation run times. Her collaborative efforts with an interdisciplinary team resulted in the design and presentation of water saturation quality assurance tests, which enhance the reliability of reserves estimation and reservoir simulation forecast predictions.