KARO OSOGBA (U.S. PR)

I am a dedicated professional with a strong foundation in Petroleum Engineering, holding both Bachelor's and Master's degrees in the field. My experience in a startup environment has honed my ability to thrive in fast-paced settings, driving innovative solutions and delivering results. I am adept at using advanced technologies, including big data, cloud computing, and machine learning, to optimize workflows and enhance efficiencies. With a keen interest in roles that merge Petroleum Engineering with Finance and Business, I am eager to leverage my technical skills and adaptability in a dynamic role. Committed to continuous learning, I am looking for opportunities that will allow me to integrate my engineering expertise with financial acumen to contribute to transformative projects.

Title: Automation of Asset Conversion from ComboCurve to ARIES
Role: Lead Analyst & Developer
Tools: ARIES, ComboCurve, Python

• Identified and resolved a critical challenge for a major oil and gas operator that risked losing funding by transitioning their asset modeling from ComboCurve to ARIES. This was crucial for meeting investor and lender requirements.
• Engineered a sophisticated solution to redesign the economic assumptions and forecasts for the client’s multimillion-dollar asset portfolio, ensuring alignment with financial stakeholders’ expectations.
• Developed an innovative, algorithmic system capable of automatically converting any ComboCurve project into an ARIES database with approximately 99.9% accuracy, leveraging my deep knowledge in ARIES, economic forecasting, financial modeling, and programming.
• This automation process significantly reduced the risk of manual errors and streamlined the client’s operations, securing their position on our platform and preserving a critical revenue stream.
• The project not only retained a high-value client but also positioned our company to attract new business, enhancing our market standing and contributing to a multimillion-dollar upside.

• Misra, S., Osogba, O., & Powers, M. (2020). Unsupervised Outlier Detection Techniques for Well Logs and Geophysical Data. In Machine Learning for Subsurface Characterization, 1st Edition.
• Osogba, O., Misra, S., & Chicheng, X. (2020). Machine Learning Workflow to Predict Multi-Target Subsurface Signals for the Exploration of Hydrocarbon and Water. Fuel, 278.
• Foster, J., Misra, S., Osogba, O., & Bhatia, M. (2021). Machine Learning Assisted Detection of Excess Water-Producing Wells in Unconventional Shale Plays. Journal of Natural Gas Science and Engineering, 92(104025).
• Osogba, O., Otamere, B., & Abdullahi, G.S.B. (2018). Analysis of Vibrations in Drilling Systems. Presented at the Nigerian Annual International Conference and Exhibition, Lagos, Nigeria.
• Osogba, O. (2020). Machine Learning for Subsurface Data Analysis: Applications in Outlier Detection, Signal Synthesis and Core & Completion Data Analysis. Texas A&M University.

• Outstanding Graduate Student, Harold Vance Department of Petroleum Engineering, 2021: I was recognized for exceptional academic and practical contributions to the field of Petroleum Engineering during my graduate studies at Texas A&M University, this award is given to only one Master's Student per graduating set.
• 2nd Place, SPEi Petrobowl, 2017: I achieved second place in this prestigious international competition, demonstrating my wide knowledge of Energy Industry
• Published Author: Contributed a chapter to a highly regarded book on "Machine Learning for Subsurface Characterization," showcasing expertise in applying advanced analytics to geological data.

• History
• Gardening
• Soccer

• Society of Petroleum Engineers
• Society of Petrophysicists and Well Log Analyst