Reservoir engineer and data analyst well-versed in Excel, Python, SQL, and PowerBI.
This project uses data from the BC Energy Regulator to create a structured database in PostgreSQL. The data was transformed and cleaned using Power Query, and an Exploratory Data Analysis (EDA) was conducted to extract insights related to oil production.
For an extra explanation feel free to read my article on LinkedIn
In this project, it is generate a graph depicting the gas compressibility factor (z), aiming to
replicate the z plot presented in (Craft & Howkins, 1991).
This involves employing the Dranchuk and Abou-Kassem correlation and implementing the secant
method for accurate results.
For an extra explanation feel free to read my article on LinkedIn
The purpose of this project is to offer a Python-based solution for calculating the properties of gas in an oil reservoir. I developed this project with the intention of assisting Petroleum Engineering students who are delving into the fascinating realm of reservoir engineering, which involves techniques akin to those used by data analysts.
The project involved using data uploaded by Fitbit Fitness to answer key questions, such as trends in the usage of smart devices and how to apply these usage trends to Bellabeat's customers. The data was cleaned using pandas, and the initial hypothesis suggests that people with higher step counts tend to have healthier habits.