System Information and Data Analytics for Oil Production & Lifting
Classification
Overview
The Indonesian government body responsible for overseeing all upstream oil and gas operations recognizes the need for advanced data analysis technology. They seek a Big Data Analytics system with a data science modeling approach capable of seamlessly integrating and analyzing large volumes of production and lifting data from diverse sources and formats. This system aims to improve the efficiency and quality of data management across various ongoing business processes, providing valuable insights for decision-makers within the organization. Furthermore, this initiative aligns with the company's Strategic Plan Program Charter 7A (Renstra) and contributes to the digital transformation and data strategy in pursuit of the goals set forth in Indonesia Oil & Gas (IOG 4.0) targets.
Key Features
- Forecasting oil & gas production using machine learning with various models
- Data warehouse and ETL
- Dashboard oil & gas production
- Dashboard schedule & nomination oil lifting
- Web application for custom configuration
Client Testimonial
The Indonesian government body responsible for overseeing all upstream oil and gas operations recognizes the need for advanced data analysis technology. They seek a Big Data Analytics system with a data science modeling approach capable of seamlessly integrating and analyzing large volumes of production and lifting data from diverse sources and formats. This system aims to improve the efficiency and quality of data management across various ongoing business processes, providing valuable insights for decision-makers within the organization. Furthermore, this initiative aligns with the company's Strategic Plan Program Charter 7A (Renstra) and contributes to the digital transformation and data strategy in pursuit of the goals set forth in Indonesia Oil & Gas (IOG 4.0) targets.