nkosi-da-p/SPE_DATATHON

SPE gas and oil datathon # SPE DSEATS AFRICA - DATATHON 2025 BY DATA PHANDAS ## 1.0 General Guidelines ### 1.1 Overview The Society of Petroleum Engineer (SPE) Data Science and Engineering Analytics Technical Section (DSEATS) Africa Datathon Challenge presents an exciting opportunity for participants to harness the power of machine learning to address real-world challenges in the oil and gas industry. Organized by SPE DSEATS Africa Region, this challenge aims to leverage historical production data to accurately classify a group of 20 wells based on their observed performance trends. ### 1.2 Challenge Objective - Participants are expected to work in teams of 3 to 5 persons (max) from at least 2 different organizations and/or schools to develop a machine learning (ML) model that accurately categorizes the 20 wells provided in the dataset by analysing their daily production data trends. The teams should explore innovative approaches to accurately categorize or classify the wells. ### 1.3 Key Components - **Historical Production Data**: Participants will have access to a dataset containing historical production records, including production date, onstream hours, cumulative oil, gas and water production, choke size, bottom hole pressure and temperature, wellhead pressure and temperature and annulus pressure. - **Evaluation Criteria**: Submissions will be evaluated based on the accuracy and reliability of the classification models, the creativity and effectiveness of the approaches employed as well as the level of collaboration amongst team members. ### 1.4 How to Participate **Step 1**: Register individually using the link below Register - Interested individuals can register for the challenge by clicking on the registration link above and thereafter shall be provided with the dataset and competition guidelines. **Step 2**: Go through the provided datasets, and the submission guidelines - Please read the general guideline and the submission guideline carefully and be sure to understand …