Real-Time Flare Stack Monitoring for Enhanced Efficiency

Achieved 90%+ accuracy, 20% reduction in flare emissions, and improved operational efficiency with Vision AI and multi-IR camera integration.

Trusted by leading global enterprises

Problem Statement

Inaccurate gas flow measurements and inefficient monitoring in flare stacks often lead to increased emissions and energy waste.

The client faced significant challenges in accurately monitoring gas flow within their operations. The existing monitoring systems were inadequate, with tar deposition frequently causing equipment malfunctions and compromising measurement accuracy. Optical cameras struggled to reliably monitor flame size due to the flame’s transparency, while thermocouple readings often proved inaccurate in the plant's harsh operating conditions. These issues hindered effective process control and posed risks to both operational efficiency and safety.

inaccurate gas flow readings

Unreliable gas flow readings caused by faulty flow meters

Faulty flow meters caused inaccurate gas flow readings, leading to inconsistent data and compromising process control. This impacted operational efficiency and hindered effective decision-making.

unreliable optical camera feeds

Improper judgement of flare size through camera feed

Unreliable optical camera feeds caused inaccurate flare size assessments, impacting process control. Limited visibility due to flame transparency further compromised monitoring accuracy.

Safety
Risks

Inaccurate monitoring can pose safety hazards for plant operations

Inefficient gas monitoring hampers operational sustainability and poses safety risks due to inaccurate measurements, potentially endangering plant operations.

unmonitored burner
shutdowns

Unexpected burner shutdowns remain unmonitored

Unmonitored burner shutdowns can result in increased downtime, posing significant risks to both safety and production efficiency. These incidents may lead to energy wastage, unplanned maintenance challenges, and potential equipment damage.

Solution

Ripik AI's Flare Stack Monitoring System Delivers Real-Time, Accurate Gas Flow Measurements

Real-Time Flare Monitoring with multi-IR camera system

Ripik.ai utilizes orthogonally placed IR cameras to accurately calculate the volume of gas flared in real-time, enabling improved monitoring and control.

Instant real-time Alerts

With immediate alerts through the interface, including sound notifications, Ripik.ai’s system ensures prompt action and improved safety. These real-time insights help operators quickly address flare irregularities, minimizing environmental impact and enhancing operational efficiency.

Automated Anomaly Detection & Instant alerts

Ripik.ai’s system detects anomalies instantly and logs corrective actions, tracking adherence and response time to drive proactive decision-making and ensure efficient flare management.

Historical video feeds & insightful report

The system archives of past flare stack footage conditions, allowing operators to review past events and identify patterns over time. Detailed reports provide actionable insights that support data-driven maintenance decisions and improve overall operational efficiency.

Impact and Validation by End Users

delivered precise gas flow measurements with flare stack monitoring

The Flare Stack Monitoring System delivered over 90% measurement accuracy, replacing manual judgment with data-driven insights. By providing real-time alerts and actionable insights, it empowered faster decision-making. Generating 650+ alerts in one month, it achieved a 5-10% reduction in gas flaring, enhancing efficiency and environmental outcomes.

1000MT+

Expected reduction in GHG emissions annually

Over $300K in expected annual value generation was achieved by transitioning from manual inspection and verbal reporting to automated detection powered by real-time monitoring—enhancing accuracy, speed, and operational efficiency.

20%

Improvement in fuel gas utilization

Over 100 potential foreign object failures were prevented in the first 3 months by shifting from delayed anomaly responses to instant notifications and proactive alerts.

50%

Reduction in time to adjust valve opening

The platform achieved a 50% reduction in time to action by transitioning from human judgment-based decision-making to data-driven insights, enabling faster and more effective responses.

OUR success stories

Our role in driving
customer success

See how leading companies across steel, cement, oil & gas, energy, automotive, chemicals, pharmaceuticals, FMCG, and other industries are transforming their operations with Ripik AI’s Vision AI solutions—driving real-time insights, enhanced safety, and intelligent process optimizations across the industrial landscape