Daniel Asante

About

I would describe myself as a determined and positive individual, always enthusiastic about taking on challenging tasks that make a meaningful impact. I thrive both in team settings, where I can collaborate effectively, and when working independently, thanks to my strong analytical and communication skills. My proficiency in reservoir modeling tools, along with Microsoft Office Suite and programming languages like Python, MATLAB, and Excel VBA, allows me to tackle complex problems with ease. I'm a self-starter and a fast learner, constantly seeking opportunities to expand my skill set and apply new knowledge. My background includes active involvement in reservoir and well reviews, as well as contributing to reservoir performance analysis, which has honed my skills for this role. I am particularly excited about the prospect of contributing to reservoir management, including setting depletion strategy, and formulating field development options. My experience in reservoir simulation, including history matching and model building, has also equipped me with the ability to develop innovative data analytics solutions. I believe in the power of hard work, continuous learning and development, and I'm always eager to learn from others and apply their insights to my work

Experience

• Petroleum Engineer · Ghana National Petroleum Corporation11-01-2023 – 09-01-2024

  Worked with the Jubilee field Reservoir engineering team to conduct well and reservoir surveillance activities aimed at optimizing production and enhancing hydrocarbon recovery. Performed pressure analysis such as Stethoscope data analysis, Interference testing, Pressure Transient Analysis (PTA), and Water Oil Ratio (WOR) analysis to support field development and planning. Conducted MDT analysis on new wells, analyzed results for well completions plan and reservoir dynamic model. Trained in the use of Petrel RE, MBAL, KAPPA, PROSPER, and Harmony software for dynamic reservoir modeling and simulation. Collected and prepared data for MBAL, Eclipse model, and IHS, streamlining simulation and surveillance efforts through Python scripting. Designed Power BI dashboards for real-time field monitoring. Mentored interns in reservoir engineering.

Education

• Kwame Nkrumah University of Science and Technology, KumasiBachelor of Science - BS, Petroleum Engineering

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