Oliver Rojas Conde
Resume Information
Description
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.
Location
College Station
Experience
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.
Skills
• 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).
Education
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