Oliver Rojas Conde

Resume Information


Experienced petroleum engineer with a master's degree in Petroleum Engineering and a proven track record of developing solutions to optimize E&P processes. Skilled in data science and machine learning, with expertise in reservor engineering, fracture characterization, reservoir modeling, and oil recovery techniques. Possesses a strong background in completion, workover, and stimulation operations with experience directing operations for oil wells. Proficient in Python, SQL, VBA, and MATLAB, and experienced in software such as CMG, Petrel, OFM, Pipesim, ComboCurve, Spotfire, Tableau, and Power BI. A dedicated leader and team player with excellent communication skills and a strong work ethic.

College Station
Surge Energy America Houston, TX Reservoir Engineer Intern May 2023 - Aug 2023 Quantified parent-child degradation via innovative workflow, comparing offset well stats with ComboCurve parent well forecasts and emphasizing feature importance. Texas A&M University College Station, TX Graduate Research Assistant Aug 2021 - Present Assembled open-source machine learning and data mining workflows with Python to solve data science problems related to petroleum engineering, subsurface engineering, and geoscience. Gran Tierra Energy Colombia Company Man Completion and Workover May 2019 - Nov 2019 Directed completion, workover and stimulation of 17,000 ft. Oil-Wells with 15 wells completed on-time and under budget, increasing operational efficiency by 20%. Ecopetrol Colombia EOR Pilot Assurance and Control Engineer Aug 2017 - May 2019 Developed interactive dashboards to visualize EOR process behavior, track KPIs, and optimize recovery. Mansarovar Colombia Jr. Well Services Engineer Aug 2013 - Aug 2016 Enhanced steam injection (huff and puff) in heavy oil reservoirs, finding optimal timing for the cycling process and increasing EUR by up to 10%. Petrobras Colombia Jr. Oil Production Control Engineer Jul 2012 - Nov 2012 Developed complex code for monitoring production & environmental data, aiding in running 500 customized reports with 90% accuracy.
• Data Science: Tensorflow, Scikit-learn, Pytorch, supervised, unsupervised, and deep learning. • Software: CMG, Petrel, OFM, Pipesim, ComboCurve, Spotfire, Tableau, Power BI. • Programming: Python, SQL, VBA, MATLAB. • Languages: English (fluent), Spanish (native).
Texas A&M University College Station, TX MS in Petroleum Engineering (GPA: 4.0 / 4.0) Graduation Date: Dec 2023 University of America Colombia BS in Petroleum Engineering (GPA: 4.1 / 5.0) Graduation Date: Mar 2013