Elevate Your Business with AI: Innovate, Optimize

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The most advanced AI module from DEAP Vision AI-HSE,   deploying for drilling activities is a comprehensive AI-driven safety management system that integrates real-time data analytics, predictive risk assessment, and computer vision technology. These modules integrates cutting-edge AI and IoT technologies, specifically tailored to the high-risk, complex environment of drilling operations. Here’s a breakdown of its key features and benefits:

• Advanced Data Modeling: The AI engine continuously collects and analyzes data from sensors, equipment, and worker behavior to identify patterns and predict potential hazards before they occur. This proactive approach can forecast equipment failures, blowout risks, or human errors, allowing for preventive measures.
• Real-Time Safety Monitoring: The module uses AI to monitor critical parameters like gas levels, equipment pressure, and worker health in real-time. It provides instant alerts when deviations occur, ensuring quick corrective actions.

• Computer Vision for Hazard Detection: Using advanced image recognition algorithms and smart cameras, the AI module identifies unsafe worker behavior, improper use of equipment, or environmental risks such as oil spills or gas leaks. Automatic hazard detection significantly reduces the time between incident occurrence and response.
• Behavioral Tracking and Alerts: This system tracks workers’ movements and behaviors, recognizing fatigue, distractions, or violations of safety protocols. The AI sends immediate notifications to supervisors when dangerous patterns are detected, allowing for timely intervention.

• Skills and Certification Validation: Before entering the drilling site, the AI module checks workers' digital HSE passports, ensuring they have the required skills, certifications, and work permits. This ensures that only qualified personnel are permitted in high-risk zones, minimizing human error.
• Dynamic Access Control: The module enforces access restrictions in real-time, dynamically adjusting based on an individual’s qualifications or any detected anomalies, enhancing on-site safety.

• Automated Permit Issuance and Approval: The module digitizes the entire permit-to-work process, automating the issuance, approval, and tracking of permits based on job risk assessments and worker qualifications.
• Real-Time Permit Monitoring: Supervisors can monitor ongoing and expired permits in real-time, ensuring full compliance and preventing unauthorized personnel from accessing restricted areas. This also ensures that the right safety protocols are followed for each task.
• Integrated with Digital HSE Passport: The system links with the digital HSE passport to validate workers' certifications and training before issuing permits, ensuring that only those who are fully qualified can perform specific drilling tasks.

• AI-Driven Predictive Maintenance: The module monitors the health of industrial equipment using data from IoT sensors and historical performance data. It predicts when maintenance is needed, preventing critical failures and reducing unplanned downtime. This includes tracking wear-and-tear, drill bit conditions, and fluid dynamics in the wellbore.
• Automated field Data Analysis: AI can automate the analysis of key drilling parameters such as rate of penetration (ROP), torque, and fluid pressure, optimizing drilling performance and preventing equipment overload or malfunctions.

• Real-Time Incident Detection and Response: AI-HSE integrates with IoT devices and emergency systems to detect and manage incidents like blowouts or gas leaks. In the event of an emergency, the module automatically alerts the nearest rescue teams, initiates evacuation protocols, and provides real-time data to decision-makers for coordinated action.
• Automated Reporting and Incident Documentation: In case of an incident, the AI automatically generates detailed reports, including video footage and sensor data, aiding in post-incident analysis and regulatory compliance.

• AI for Environmental Safety: The system continuously monitors environmental conditions around the drilling site, such as emissions, water contamination, and ecosystem impact. It ensures compliance with environmental regulations and sustainability goals by proactively mitigating risks.
• Spill Detection and Containment: Using AI and computer vision, the module can detect spills and immediately trigger containment measures, preventing environmental disasters.

• Edge AI for Low-Latency Operations: Given the challenges of remote drilling locations, DEAP Vision’s AI-HSE module can deploy its AI functionalities using edge computing. This allows real-time data processing on-site, reducing latency and ensuring immediate responses to safety risks even in areas with limited connectivity.

• Strategic Insights and Recommendations: The AI module analyzes historical data, real-time inputs, and environmental conditions to provide decision-makers with actionable insights. It suggests optimal drilling methods, resource allocation, and safety protocols, enhancing the overall efficiency of drilling operations.
• Customizable Dashboards: Operators can view real-time data on custom dashboards, displaying worker locations, equipment status, safety alerts, and environmental conditions in an easy-to-understand format.

• Improved Worker Safety: AI-powered safety protocols significantly reduce workplace accidents, creating a safer environment for workers.
• Operational Efficiency & Productivity: AI optimizes HSE processes, streamlining tasks, improving resource allocation, and enhancing overall productivity.
• Cost Reduction: Predictive analytics identify hazards and risks before they occur, minimizing downtime, accidents, and associated costs.
• Enhanced Regulatory Compliance: Automated modules ensure adherence to the latest HSE standards, simplifying legal processes and reducing non-compliance risks.
• Reduction of Human Error: Automating safety checks, permit-to-work management, and behavior analysis lowers the likelihood of accidents caused by human error.
• Real-Time Decision Making: AI provides real-time data and actionable insights, enabling proactive, informed decision-making in safety and operations.
• Risk Mitigation: The system predicts hazards in advance, preventing costly incidents and ensuring the well-being of the workforce.

"DEAP AI "  Predict failure, Monitors engine operational data, such as speed and load control visibility. Collecting and aggregating data for analysis and overall equipment efficiency

• Corrosion monitoring
• Vibration monitoring
• Temperature and humidity monitoring
• Control Valve
• Pressure monitoring
• Gas Pressure control
• O&G Metering

Supervisory control and data acquisition systems in EPF primarily acquire

real-time factory meter data , alerts, and alert design. These systems then give

immediate feedback to management systems.

The oil and gas industry includes global processes of exploration, extraction,

refining, transporting, and marketing. Oil is transported through cross continental

pipelines using pump stations. It usually flows at an approximate speed of 1 ~ 6 m per second..

"DEAP AI"  anticipate failure by analysing real time data, monitoring system can be placed every 30 km in multiple pump stations along a cross-continental pipeline. "DEAP AI" allows engineers to monitor all of the stations from a central control room through our Platform. The pump stations themselves feature diverse installed sensors for metering pressure and temperature. These sensors are linked to a PLC which is connected to "DEAP AI" for data processing which enables local pump status checking by technicians. These devices are then connected to a Switch, which transmits data back to a central control room through fiber optic cabling.

"DEAP AI" helps central control room engineers view the status of each pump station, enabling fast and efficient response in an emergency.