The comprehensive case studies demonstrate Greenojo’s expertise in developing data-driven, AI-enhanced solutions for the oil and gas sector, focusing on upstream operations, NDR management, brownfield data handling, and production forecasting.
Overview
Business Challenge
Key challenges in NDR (National Data Repository) include:
- Managing fragmented data systems, ensuring data accuracy, optimizing production, and delivering real-time insights for improved operational decisions.
Business Objective
Develop integrated, standardized solutions to enhance data accessibility, support decision-making, optimize production, and streamline compliance with industry standards.
Solution
Greenojo’s comprehensive solution incorporates the following components:
- Custom NDR Platforms: Implement PPDM 3.9 for data standardization and integration across acquisition, storage, and analysis layers.
- AI Centers of Excellence (CoEs): Utilize centralized AI CoEs for production forecasting and data-driven insights.
- QA/QC Frameworks: Design automated data quality control measures for consistent data reliability.
- Production Data Analysis: Apply machine learning models (e.g., ARIMA, ANN) for predictive and trend analyses of production data.
Business Value
Implementing the solution leads to several benefits:
- Data Integration & Compliance: Unified data management ensures adherence to regulations and better accessibility.
- Enhanced Forecasting: Improved prediction models boost efficiency and reduce financial risks.
- Operational Optimization: Streamlined data handling facilitates better resource allocation and minimizes waste.
- Advanced Insights: Real-time analytics enable proactive decision-making and strategic planning.
