Hello! I'm Eric Kim, a Data Scientist and Petroleum Engineer in the oil and gas industry. My expertise includes process simulations, general compressor applications, and data science. After I got my bachelor's in Petroleum Engineering with a minor in Computer Science at the University of Texas at Austin in 2019, I've been working for Flogistix in Oklahoma. I've been involved with various compressor projects, with focus on (but not restricted to) vapor recovery for reducing carbon footprint of oil and gas operations and ensuring compliance with federal emission requirements. I have also established my permanent residency (greencard) in the U.S. since early 2023.
For professional inquiries, please contact me at aegis4048@gmail.com. For discussions or questions related to my, please direct them in the comment section of each post, as it could assist others with similar interests.
Compression Systems
Vapor Recovery Unit (VRUs)
Wellhead compression
Casing drawdown
Screw & reciprocating compressor sizing
Compression economics analysis
Proces Simulations
Upstream & midstream oil and gas applications
Tank vent & flash volume estimations and predictions
Vessel sizing: separators, heater treaters, scrubbers, VRTs, etc
Pipe friction, sizing, or hydraulics analysis
Dew point analysis
Geothermal plant facility simulations
Anything that involves chemical processing
Data Science
Highly proficient in statistics, data processing, and visualizations
Public oil and gas data analysis (Enverus, IHS)
General data analysis applications
Python
Oil & Gas Applications
Well (project) evaluation and economic forecasts
Nodal analysis
Critical gas flowrate predictions & modeling
Programming implementation of any technical models
Web Development
Working knowledge in frontend, backend, database
Working knowledge in HTML, CSS, Javascript, Django, PostgreSQL
(I developed this website from scratch…)
GasCompressibility-Py
GasCompressibility-py is a Python library for calculating the gas compressibility factor, $Z$, based on real gas law. It is designed with practical oil field application in mind, in which the required inputs ($T$, $P$, and $\gamma_{g}$) can be readily obtained from the surface facility.