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 drilling 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 Drilling 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.

Oil & Gas: Optimizes safety protocols and risk management on offshore/onshore rigs and refineries, chemical plants, enhancing operational safety and efficiency.

Maritime: Improves monitoring and emergency response on vessels, ensuring compliance with maritime safety regulations.

Mining: Enables real-time HSE oversight on Mining sites, reducing the incidence of workplace accidents and ensuring project compliance.

Construction: Implements advanced safety tracking and compliance systems to minimize accidents on construction sites, manage labor safety, and streamline inspections and certifications.

Health: Enhances hospital and healthcare safety by monitoring staff, patients, and equipment in real-time, ensuring compliance with health safety regulations and improving response times in emergencies.

Public Sector: Strengthens safety and regulatory compliance across government facilities, public spaces, and infrastructures by integrating real-time monitoring, emergency response systems, and ensuring alignment with HSE policies

"DEAP AI" Increase Overall Reliability, Quality, and Efficiency Across Complex Systems. Supervisory control and data acquisition is a control system architecture comprising computers, networked data communications and graphical user interfaces for high-level process supervisory management

• HMI/SCADA software package integrated
• Real Time Data Visualization 2D & 3D (Mobile, Desktop Access)

"DEAP AI" Interface is a browser-based software package for human-machine interfaces (HMI), supervisory control, and data acquisition (SCADA). All the features found in conventional HMI and SCADA software packages including animated graphics displays, real-time data

control, trends, alarms, and logs are available in an ordinary browser. Its basic components include SCADA node, project node, client and thin client.

"DEAP AI" system helps prevention, monitor and transmit the temperature, pressure, flow,

and vibration data in an oil pipeline that stretches from end to end.

Its sensors are connected to a series of DEAP DEVICE modules. These modules help process and

transmit data to a control room, then to the Cloud.

• Corrosion monitoring
• Vibration monitoring
• Temperature Sensors
• Gas Leak Detector
• Pressure Sensors
• Gas Pressure control
• Flow Meter

Oil pipelines are made from 0.91 ~ 1.82 m steel or plastic tubes. They

have an inner diameter ranging between 10.1 to 121.9 cm. Most

pipelines are buried at a typical depth of about 0.91 ~ 1.82 m. As crude

oil contains varying amounts of wax, buildups may occur within a pipeline. Often

these pipelines are inspected and cleaned using pipeline inspection gauges.

These gauges can detect anomalies in the pipes such as dents, metal loss/

corrosion, cracking, or other mechanical damage