Why It’s Time to Move Beyond Manual Rig Scheduling

1. Why It’s Time to Move Beyond Manual Rig Scheduling FASTER DECISIONS. SMARTER OPERATIONS. GREATER RETURNS. www.rejigdigital.com

2. Current Challenge 01 02 03 Manual Scheduling Challenges Managing Rigs Across Sites Lack of Centralized Data Outdated Tools: Relying on Excel, whiteboards, or phone calls for scheduling creates confusion and miscommunication. Delayed Updates: Manual processes result in slow updates, causing inefficiencies and missed opportunities. No Real-time Visibility: The absence of a centralized system prevents decision-makers from having an up-to-date view of operations, affecting timely decisions. Increased Errors: Human input introduces a higher risk of errors, leading to misallocated resources and scheduling conflicts. Complex Logistics: Managing rigs across multiple sites becomes increasingly difficult, with no efficient way to track resources, schedules, and requirements. Slow Response to Changes: Without real- time data and insights, responding quickly to unexpected changes or emergencies becomes challenging, further delaying operations. Poor Coordination: Teams and stakeholders struggle with synchronization, impacting collaboration and overall workflow.

3. THE COST OF INACTION Relying on manual rig scheduling leads to major inefficiencies, increasing both operational problems and financial losses: 01 02 03 High Downtime Costs PRODUCTION DELAYS Poor Use of Resources Every day a single rig remains idle can cost over $50,000 in lost revenue. Extended downtime across multiple rigs quickly multiplies this figure, severely impacting profitability. Manual processes contribute to scheduling conflicts and communication gaps, which delay rig mobilization and disrupt project timelines—ultimately affecting overall production output. Without a streamlined system, resources like equipment and personnel are often underused or misallocated. This results in lower ROI and reduced operational efficiency.

4. 01 WHAT IS A RIG SCHEDULER? Centralized Planning & Tracking Every day a single rig remains idle can cost over $50,000 in lost revenue. Extended downtime across multiple rigs quickly multiplies this figure, severely impacting profitability. 02 A Rig Scheduler is a centralized digital platform designed to optimize the planning, coordination, and monitoring of rig operations across multiple sites. REAL-TIME COLLABORATION & UPDATES Manual processes contribute to scheduling conflicts and communication gaps, which delay rig mobilization and disrupt project timelines—ultimately affecting overall production output. 03 INEFFICIENT RESOURCE UTILIZATION Without a streamlined system, resources like equipment and personnel are often misused or idle, leading to reduced ROI and operational efficiency.

5. THE IOT ADVANTAGE Real‑Time Operational Data Leveraging IoT technology transforms rig operations by delivering continuous insights, proactive alerts, and dynamic scheduling: Live GPS positioning, performance metrics (e.g., torque, pressure, load) and safety data stream directly to dashboards, ensuring all stakeholders have instant, accurate situational awareness. Comprehensive Sensor Monitoring Predictive Maintenance Alerts Industrial‑grade sensors capture every aspect of rig activity— mechanical wear, vibration, temperature, and movement— providing granular visibility into asset health. Advanced analytics flag emerging issues before they cause downtime. By analyzing sensor trends, the system issues maintenance notifications, preventing costly failures.

6. Manual vs. IoT-Based Scheduling The use of AI in cybersecurity raises important ethical considerations, including bias, transparency, and accountability. 03 01 Transparency and Accountability Privacy Concerns AI systems may collect and analyze large amounts of data, raising concerns about privacy and data protection. It is important to ensure that AI- powered security systems are transparent and accountable for their actions. 02 04 Ethical Decision-Making Bias and Discrimination AI algorithms can be biased, leading to unfair or discriminatory outcomes in cybersecurity decisions. Cybersecurity professionals need to be trained to make ethical decisions when using AI-powered tools. www.rejigdigital.com

7. Manual vs. IoT-Based Scheduling Feature Manual Scheduling IoT-Based Scheduling Update Speed Slow, often requiring manual entry and updates. Instant updates from real-time data inputs. Error Risk High, due to human input and manual processes. Low, with automated data collection and validation. Strong, as real-time data promotes seamless communication and coordination. Team Collaboration Poor, with information often siloed or outdated. Delayed, due to reliance on outdated or incomplete information. Real-time, data-driven decisions enable quicker and more accurate responses. Decision-Making Lower, due to inefficiencies and higher risk of errors. Higher, by optimizing resources, reducing downtime minimizing costly errors. Cost Efficiency www.rejigdigital.com

8. Results You Can Expect By adopting IoT-based scheduling and advanced rig management systems, you can achieve substantial improvements in operational efficiency and financial performance: 01 20–40% Reduction in Rig Downtime With real-time monitoring and predictive maintenance, IoT-powered systems reduce unexpected rig downtime by identifying issues early and optimizing schedules for maintenance. 02 Faster Decisions Across Departments Instant access to data from all departments (field operations, logistics, and management) speeds up decision-making, helping teams respond quickly to changes and challenges. 03 Clear Visibility Into All Operations IoT-enabled platforms provide a centralized view of all rig activities, resource usage, and performance metrics—enhancing transparency and facilitating more informed decision-making. 04 Measurable ROI in Months By improving efficiency, reducing downtime, and optimizing resource allocation, companies can see tangible ROI in a matter of months, driving long-term profitability and competitive advantage.

9. What’s Next? To successfully transition to IoT-based rig scheduling, follow these strategic steps to ensure a smooth implementation and long-term success: Start with a Pilot Project Begin by selecting a small, manageable operation (e.g., one rig or field) to test the IoT-based scheduling solution. This allows you to evaluate its effectiveness and make adjustments before scaling. Train Key Users and Schedulers Once the pilot project proves successful, gradually expand the use of the scheduling solution across other rigs, pads, or fields to fully integrate the system across your operations. Train Key Users and Schedulers Measure Impact and Optimize: Provide comprehensive training to key personnel, including schedulers, rig managers, and operational teams. This ensures they understand how to maximize the tool’s features and adapt to the new system. Monitor system performance to track efficiency, downtime reduction, and resource use, then optimize based on insights for better results.

10. Together, let's minimize downtime, enhance coordination, and optimize rig performance for maximum efficiency and productivity. Ready to Explore a Demo? Need Help Customizing it to Your Needs? Contact us today and make the switch to smart scheduling. www.rejigdigital.com +91-7433973355