Leading geoscience lab and discussion sessions

Designed and delivered "Automated annulus pressure monitoring and build-up detection" project to BP (British Petroleum), a web-based tool (i.e., dashboard in private monitoring platform - Palantir) written in Python, consisted of:- an algorithm that recognizes pressure anomaly patterns with 92% accuracy- it allows simultaneous, real-time identification of pressure anomalies in 100+ oil and gas platforms without direct well intervention- a web-based user interface for real-time monitoring of well conditionsparameters extractions from BP well database and data management using PostgreSQL- algorithm optimization - reduction of running time by 70% while maintaining high accuracy

- Cleaned and integrated 350 GB of numerical data, 1470 image data, and 744 document files- Establishment of a well-sorted and fully standardized core database using SQL Server Management Studio - Designed a web page outline that provides users with multiple functionalities such as smart search, multi-filtering, visualization- Web-based database design and construction using Python (Django), JS, Ajax, HTML, SQL

- Statistical characterization of deformed rock properties and their spatial correlations- Collection and integration of rock data acquired from direct measurements of core and fluid properties - Generated a Spotfire dashboard to analyze deformed rocks dataset with millions of rows and hundreds of well parameters- Reduced time spent by engineers on routine analysis by 35%