Wells Analytics BI Platform

Client Background

The client is a prominent multinational organization operating in the oil and gas industry, focusing on exploration, production, and refining. As part of their broader digital transformation strategy, the company aimed to adopt advanced data-driven technologies to enhance the performance and accuracy of their hydraulic fracturing operations. Their objective was to replace legacy reporting and data handling methods with a scalable, cloud-based analytics solution for better decision-making and operational transparency.

Objective

The initiative aimed to design and deploy a Business Intelligence (BI)-powered platform to collect, centralize, and visualize large-scale hydraulic fracturing data, enabling real-time monitoring of field operations. The platform was designed to offer intuitive dashboards, automated reporting, and support for trend analysis to improve decision-making and optimize resource allocation. It was crucial that the system be secure, scalable, and interoperable with existing infrastructure while ensuring ease of use for stakeholders ranging from field engineers to executive leadership.

Solution

1. Data Management & Visualization

  • Centralized ingestion and storage of data from multiple wells and field devices.
  • Real-time and historical data processing.
  • Development of interactive dashboards using Power BI for visual analysis.
  • Secure data integration capabilities for seamless interoperability with upstream and downstream systems.

2. Business Intelligence & Reporting Optimization

  • Creation of data models tailored to hydraulic fracturing KPIs.
  • Automated report generation to streamline operational reviews.
  • Comparative analysis tools to assess well performance across different sites and time periods.
  • Support for ad hoc queries and self-service analytics.

Main Features of Platform

  • Cloud-Based Architecture: Deployed on a secure and scalable cloud infrastructure, with role-based access control and end-to-end encryption, ensuring high availability for 24/7 data access and analytics.
  • Data Integration & Processing: Automated ingestion from field sensors, loggers, and control systems, integrating with industry-standard formats and APIs, and supporting both real-time and batch data processing.
  • Real-Time Visualization: Provided real-time dashboards with key performance indicators (KPIs) such as pump pressure, rate, stage duration, and fluid volume, offering visual insights to monitor operational health across multiple assets.
  • Drill-Down Functionality: Enabled detailed analysis with drill-down capabilities for well-by-well and stage-by-stage insights.
  • BI-Driven Analytics: Included advanced filtering and data slicing tools for in-depth investigations, as well as historical trend analysis to identify inefficiencies and opportunities.
  • Benchmarking Tools: Allowed performance comparison across regions or asset types to gauge operational effectiveness.
  • Reporting & Alerting: Offered scheduled delivery of comprehensive reports to stakeholders, with conditional alerts for anomalies or out-of-range metrics, ensuring proactive monitoring.
  • Exportable Visualizations: Provided visualizations that could be exported for integration into executive briefings and operational reviews.

Tools & Technology

  • Microsoft Azure
  • Azure Data Factory, Blob Storage
  • Power BI
  • PostgreSQL, Azure SQL
  • Python, Node.js
  • React.js (supporting embedded dashboards)

Results

  • 30% improvement in efficiency of data review processes through centralized dashboards.
  • 40% faster decision-making cycle due to real-time monitoring and historical data access.
  • Enhanced data security and governance through role-based access and cloud encryption.
  • Improved collaboration between field teams, analysts, and executive stakeholders.
  • Greater operational insight, enabling better planning and resource allocation.