Federico G.

Programming and modeling of physical and mathematical problems in several languages and paradigms: Python, Fortran, RUST, PHP, JS, web2py, Flask, W3.css, are preferred. Specialty in oil engineering, reservoirs and well performance. My goal is to contribute to the advancement of technology and methodologies to optimize the processes of oil and gas. I have a vast experience from design equipment to measure reservoir properties in the oil well bottom, optimizing well productivity and drilling optimization. I work on development and interpretation of big data software form oil and gas production. Programming on desktop and web devices. Also I have experience on modern analysis of production for reservoir characterization, pressure test design and analysis for monitoring reservoir performance. I have been researching and developing mathematical models and coded in Python for Big Data in the oil industry for more than ten years, as well as user applications in python full stack in web2py Flask, Bottle and Django (JS, HTML, CSS, REACT, D3.js, MySQL, Mongo, SQL and NoSQL). My experience has been directed to innovate and develop new physical mathematical methodologies for modeling physical phenomena, such as transport of mutiphasic fluids, oil well performance, and increasing the recovery factor in oil reservoirs.