Improving Offshore Oil Extraction with IoT Smart Well Technology

1. CASE STUDY Enhancing Offshore Oil Recovery with IoT-Enabled Smart Wells CLIENT BACKGROUND OceanCore Energy is a leading offshore oil and gas exploration company operating in the Gulf of Mexico. With a focus on maximizing production from mature fields, the company sought innovative digital solutions to enhance oil recovery and optimize well performance. Offshore oil recovery enhancement using IoT-enabled smart well systems Projects Industry Oil & Gas – Offshore Drilling and Production Optimization 10+ Offshore Wells Equipped with Smart Sensors and Remote- Control Valves Fleet Sizes CHALLENGES 01 02 03 Declining Oil Recovery Rates: OceanCore Energy faced reduced extraction efficiency in a mature offshore field, affecting production. Limited Real-Time Data Access: Manual downhole monitoring delayed access to critical data and slowed decision- making. High Operational Costs: Frequent interventions raised maintenance and operational costs.

2. IOT SOLUTIONS IMPLEMENTED 01 02 03 04 Wireless Communication Network: Predictive Analytics & Alerts: Centralized Dashboard Automated Drilling Controls Integration of IoT devices with drilling rigs to enable automated adjustments based on live sensor inputs, improving precision and reducing errors. Unified interface providing operators with comprehensive, real- time insights into multiple wells for coordinated management and faster response times. Reliable data transmission from remote offshore wells to control centers, enabling swift decision-making without physical site presence. Advanced analytics platform processes IoT data to predict potential issues and trigger proactive maintenance or operational changes. Implementation Highlights 1. Comprehensive Sensor Deployment: Multi-parameter sensors were strategically installed inside the wellbore, capturing critical data points such as pressure, temperature, flow rate, and borehole alignment for detailed monitoring. 2. Reliable Data Transmission: To ensure seamless communication despite offshore challenges, the system utilized advanced, low-latency communication protocols designed specifically for harsh marine conditions. 3. Cloud Analytics: AI/ML algorithms processed sensor data in the cloud to predict well behavior and optimize maintenance and production. 4. Remote Control: Automated valve adjustments based on real-time data optimized reservoir pressure and fluid flow without manual intervention.

3. Impact and Performance Results Results Impact Real-time insights allowed precise reservoir control, boosting oil extraction efficiency by up to 15%. Enhanced Oil Recovery Automated monitoring lowered manual interventions, reducing maintenance costs by 20%. Reduced Operational Costs Remote operations minimized personnel exposure to hazardous offshore conditions. Improved Safety Enhanced Oil Recovery: Up to 15% improvement in oil output by optimizing flow rates in real time Zonal data helped fine-tune reservoir performance and maximize recovery Reduced Operational Costs: Fewer on-site inspections and well interventions lowered operating expenses Predictive analytics minimized unplanned maintenance and resource usage Improved Safety: Overall Impact: Remote monitoring eliminated frequent offshore visits for routine checks Automation reduced human exposure to high-risk drilling environments Achieved smarter well operations with improved efficiency, lower costs, and enhanced safety Enabled long-term, data-driven offshore production efficiency. With IoT-powered smart wells, we’ve gained real-time visibility into subsurface conditions. Decisions that once took hours are now made in minutes—boosting both recovery and reliability. - OPERATIONS MANAGER, OFFSHORE DRILLING DIVISION info@rejigdigital.com rejigdigital.com +1 (510) 956 6572