SENSIA’s Post

Customer Story: AI Expert OEx Platform Enables (3*600MW) Coal-Fired Power Plant To Achieve Sustainability Goals With Early Detection Of Boiler Anomalies.🌿🏭 In this use case, the boiler's overall efficiency had been deteriorating due to: 👉Irregular soot-blowing 👉Combustion in the superheater zone 👉Turbulence in the furnace 👉Incomplete combustion. Hence, the furnace flue gas exit gas temperature increased beyond the previously reported value, along with an increase in NOx gas emissions. In the detailed story, we showcase how AI Expert could proactively trigger alerts before DCS alerts, considering all the upstream and downstream available process data, and suggest reliable, actionable SME recommendations to the Plant Operations Team. 👉 Link to the detailed customer story is in the comments. 👉Why NOx emission control is essential? NOx reacts with sunlight and other chemicals to form smog, a major air pollutant that reduces visibility and causes respiratory issues. Many countries have specific NOx emission regulations depending on their environmental priorities and industrial landscape. Companies, therefore, often need to continuously monitor their NOx emissions and submit reports to regulatory agencies, or else risk being fined. 👉 Link to the detailed customer story is in the comments. #sustainability #emissionmonitoring

I’ve always been a sucker for free lunch. Combine that with meeting cool people and learning about a new and different #methane fixed sensor (aka #ContinuousMonitor), and I’m in for sure. That was the case this week as I flew out to the west coast to visit Kishore Manghnani and Mark Stubbs, two of the three founders of Shoreline AI, at their facility in the Bay Area. Shoreline developed their sensor originally for predictive maintenance of O&G equipment, but it has also demonstrated early success in detecting large methane emissions events from tanks in the field. What makes their sensor different from other “point” sensors is that it does *not* measure methane concentration. Say what??!! Instead, it senses other environmental signatures that can accompany large emission events. It attaches directly to the equipment (Class 1 Div 2) instead of on the fence line, and regularly samples parameters like temperature, acoustics, and vibrations, searching for anomalous behavior and trends, which can indicate a large emission event. Kishore and Mark are sharp, nice guys, and I really connect with their start-up mentality. Mark even made their shake table, circuit board QA fixture, and tons of other stuff from scratch in house... love it! They are looking for more opportunities for operators to assess the performance of their sensors… please reach out to them if interested. At Bridger, we can help identify candidate sites and equipment from our massive database of equipment-attributed emissions. Thanks for lunch and showing me your digs, guys! It was a real pleasure to meet you both in person! #oilandgas #leakdetection

🚀 In the Line of Fire: AI's Protection in Oil & Gas Red Zones🚀 In the high-stakes realm of oil and gas extraction, red zones represent the frontlines where danger lurks at every turn. From volatile substances to extreme temperatures, workers brave hazardous conditions daily to keep operations running smoothly. Understanding these risks is crucial for ensuring worker safety and mitigating accidents. 🌟 viAct's Red Zone Management: The AI Shield for Oil & Gas Workers 🌟 In the wake of incidents like the Deepwater Horizon disaster, the need for enhanced safety protocols has never been more apparent. With the advent of Artificial Intelligence, a new shield has emerged to safeguard workers in these perilous environments. Here’s how viAct is revolutionizing safety in red zones with our AI-powered solutions: 1. Artificial Intelligence of Things (AIoT)   - IoT sensors detect anomalies like overheating or leaks, triggering immediate alerts.   - AI-driven cameras monitor worker movements, flagging unsafe behaviors.   - Gas leaks detected within seconds, prompting automatic shutdowns and evacuations. 2. Computer Vision & Video Analytics   - Analyzes visual data to detect patterns and objects, providing actionable intelligence.   - Real-time video streams decode behaviors, sending instant alerts.   - Detection of inefficient work practices, leading to targeted training programs. 3. Generative AI   - Processes real-time data to suggest proactive safety recommendations.   - Chatbots offer instant suggestions and feedback to workers.   - Incident logging dashboard analyzes historical data to predict potential hazards. 4. Digital Permit Management   - Paperless permits with instant verification and authorization.   - Digital verification of training and qualifications to enter red zones.   - Reduces unauthorized entry, enhancing overall safety protocols. 🔍 #viAct’s AI-Driven Approach 🔍 viAct's red zone management system leverages cutting-edge technologies to ensure unparalleled safety in high-risk areas on drilling rigs. Our AI-driven solutions identify potential hazards, provide real-time alerts, and offer actionable insights for enhanced safety protocols. By analyzing historical data and identifying patterns, viAct is revolutionizing safety practices, mitigating risks, and fostering a culture of safety excellence in the challenging environments of drilling rigs. Together, let's make the oil and gas industry safer for everyone. #OilAndGas #RedZoneSafety #AI #ArtificialIntelligence #AIoT #ComputerVision #VideoAnalytics #GenerativeAI #DigitalPermitManagement #SafetyFirst #WorkplaceSafety #OilAndGasIndustry #IndustrialSafety #viAct #SafetyInnovation #RiskManagement #TechForGood #FutureOfWork #SafetyExcellence #InnovationInOilAndGas #ProtectingWorkers

💡 Enhancing Operational Efficiency: Managing Shell Tube Fouling with Online Hybrid Modeling and AI Solutions Shell tube fouling poses a significant challenge across upstream, midstream, and refining operations due to its complex and dynamic nature. Implementing a robust process surveillance system can enable operators to shift from scheduled maintenance to a more proactive approach, leading to substantial reductions in downtime. In this demonstration, I am providing a glimpse into real-world experiences with clients in the #UnitedArabEmirates. The use of online hybrid modeling and industrial AI solutions can enhance agility, provide valuable guidance, and enable automation in managing fouling and other operational challenges. #ShellTubeFouling #ProcessSurveillance #ProactiveMaintenance #HybridModeling #IndustrialAI #OperationalExcellence #Aspentech #MaintenanceOptimization #AIinIndustry #FoulingManagement #EnergyEfficiency #RefiningSolutions #AIandAutomation #DowntimeReduction #ProcessOptimization #UAEIndustry #SelexMB #HYSYS #AIMB

𝗨𝗻𝘀𝗲𝗲𝗻 𝗧𝗵𝗿𝗲𝗮𝘁: 𝗜𝗻𝘁𝗲𝗿𝗻𝗮𝗹 𝗖𝗼𝗿𝗿𝗼𝘀𝗶𝗼𝗻 𝗥𝗲𝘀𝗽𝗼𝗻𝘀𝗶𝗯𝗹𝗲 𝗳𝗼𝗿 𝗨𝗽 𝘁𝗼 𝟱𝟬% 𝗼𝗳 𝗛𝘆𝗱𝗿𝗼𝗰𝗮𝗿𝗯𝗼𝗻 𝗦𝘆𝘀𝘁𝗲𝗺 𝗙𝗮𝗶𝗹𝘂𝗿𝗲𝘀. 𝗔𝗿𝗲 𝗬𝗼𝘂 𝗣𝗿𝗲𝗽𝗮𝗿𝗲𝗱?   Pipelines are critical for energy transportation, but hidden threats like deadleg corrosion can compromise their integrity. Traditional inspection methods often fall short, placing critical infrastructure at risk. 𝗧𝗿𝗮𝗻𝘀𝗳𝗼𝗿𝗺𝗶𝗻𝗴 𝗖𝗼𝗿𝗿𝗼𝘀𝗶𝗼𝗻 𝗠𝗼𝗻𝗶𝘁𝗼𝗿𝗶𝗻𝗴 𝘄𝗶𝘁𝗵 𝗔𝗜𝗼𝗧 𝗮𝗻𝗱 𝗡𝗗𝗘 𝟰.𝟬 Advancements in Artificial Intelligence of Things (AIoT) and NDE 4.0 are transforming pipeline monitoring. By integrating permanently installed ultrasonic sensors with non-destructive methods, these cutting-edge solutions are changing how facilities detect and mitigate corrosion. 𝗞𝗲𝘆 𝗕𝗲𝗻𝗲𝗳𝗶𝘁𝘀: • Enhanced Accuracy: AIoT solutions surpass manual ultrasonic testing (UT), delivering higher levels of accuracy and precision.  • Data-Driven Focus: Intuitive circuit-level dashboards contextualize data from Corrosion Monitoring Locations (CMLs), allowing operators to focus on critical areas. • Adaptive Learning: Machine learning algorithms adapt to signal variations from surface irregularities, ensuring consistent and reliable thickness measurements. 𝗦𝘂𝗰𝗰𝗲𝘀𝘀 𝗦𝘁𝗼𝗿𝘆: A leading oil & gas company implemented AIoT-driven monitoring across hundreds of CMLs on deadlegs, achieving precise corrosion detection even in small-bore piping as narrow as 2 inches. Discover how these technologies are setting the standard for the future of pipeline safety. Read our latest paper for more insights and the full case study: https://lnkd.in/gv677vH9 #AIoT #CorrosionMonitoring #AssetIntegrity

Early detection of ‘what is starting to go wrong’ and timely fixes - the new norm of industrial monitoring

Some more examples of how UptimeAI is helping our clients!

Safety: A LITES-based gas sensor empowered by a novel quartz tuning fork and a multi-pass cell with dense spots pattern could soon be able to find trace gases. #HSE #EHS #processsafety #industrialsafety https://bit.ly/4cew6Sb

Let's talk Production Loss. It eats into margins and profitability, and for complex processes like Oil and Gas can accumulate quickly as a result of simple equipment faults and frequent maintenance activities. Thankfully AI is assisting operations and maintenance teams to reduce production loss, through continuous predictive insights and forecasting. One customer of ours experienced over 80% reduction in production loss across two of their late life assets. Read the case study here: https://lnkd.in/d3vvu9VS If production loss is eating into your bottom line it might be worth considering a new, data-led approach. #AIoT #AutoML #IIoT #oilandgas #complexprocesses #reliability

#AI for #artificiallift. If you're looking to optimize production using artificial intelligence, the Ambyint solution might be for you! Check out this case study for one of our customer's results. #productionoptimization #oilandgas