From America’s energy corridors to others around the globe, citizens who reside adjacent to oil fields and refineries are being empowered with more air quality tracking and transparency than ever before. When everything hums efficiently in the industrial world, citizens are confident about the quality of the air they inhale. Yet, when something unexpected arises, a methane leak, a surprise flare, or some equipment failure, they have immediate answers at their fingertips: What is in our air? How quickly are problems being addressed? Transparency builds trust and comfort.
In 2023, the Carbon Majors Database revealed that just 36 fuel producers are responsible for 25% of global greenhouse gas emissions, prompting greater demand for those large companies to be accountable to the neighbors they serve. Shree Chatterjee, an Environmental, Health, and Safety (EHS) Air Compliance specialist at Coterra Energy, wants to address those crucial questions and effect meaningful changes. By leveraging the use of AI-powered data analytics, she was able to revamp monitoring of emissions, comply with EPA regulations such as Subpart W, OOOO, OOOOa, and OOOOb, and proactively safeguard the neighborhoods where individuals live, work, and raise their families. Her work isn’t just about digits on a page; it’s about trustworthiness, a healthy existence, and a cleaner tomorrow.
In America’s oil and gas beltways, Shree’s reporting solutions have enabled stakeholders to monitor pollutants, carbon dioxide (CO2), methane (NOx), and volatile organic compounds (VOCs) in real-time, compliant with strict EPA regulations that avert penalties or shutdowns. “Compliance is a rulebook,” she explained. “It’s the individuals who are breathing the air around our facility.” Shree’s AI-driven methodology has transformed unruly data into meaningful insights, allowing companies to spot leaks, lower emissions, and present transparent reports to concerned citizens. From Wyoming ranch country to busy Texas refineries, Shree’s work connects innovation and people’s well-being.
The system is cumbersome. Well, pipeline and plant information are often fragmented or lacking. Subpart W, OOOOB, and OOOOA demand precise CO2, NOx, VOC, and methane reporting, and they are unforgiving. Paper records are slow and error-prone, holding up reports and leaving companies vulnerable to penalties.
Shree’s transformation leaned on AI to tame data chaos. She built reporting systems, accessing and cleaning relevant data to produce relevant outputs for various stakeholders for clear tracking and reporting. For methane, a potent greenhouse gas, her tools helped analyze sensor data, ensuring Subpart W compliance. This cut reporting errors by 30%, saving weeks of rework.
To capture data seamlessly, Shree helped integrate the Cloud asset management system. These systems helped collect relevant data and helped in calculating various emissions like CO2, NOx, and VOC readings directly to a database, eliminating manual entry. This automation slashed data collection time by 40%, letting teams focus on action, not paperwork.
Deadlines were fixed. The EPA regulations mandate on-time submissions, and slippage would cost millions. Shree created dashboards that provided engineers and regulatory officers with real-time CO2, methane, and NOx trends. Software scripts created report drafts, extracting verified data and reducing preparation time from months to a few days. “We are no longer scrambling,” Shree pointed out. “Innovation keeps us ahead.” Shree’s cross-functional groups of engineers, data specialists, and regulators met frequently, assuring that each report was Subpart W and OOOOA compliant.
Shree’s systems made compliance a virtue. Real-time analytics detected a methane leak at one well, repaired before reaching EPA thresholds, sparing fines and assuring the surrounding families. Predictive modeling reduced NOx output by 20% at a Texas refinery, improving ESG scores. Community councils were provided with transparent dashboards demonstrating VOC levels improving, alleviating local concerns. “We’re not complying with rules,” Shree explained. “We’re demonstrating to people that we care about their air.” Stakeholders paid attention, appreciating the company’s data-driven sustainability, anchored on the precision of AI.
There was a very significant community effect. Shree’s reporting systems tracked flare events, characterizing CO2 and VOC releases within a few hours. Regulatory and compliance teams placed updates on external portals. Transparency creates assurance and confidence.
Shree also addressed legacy systems. Most sites ran on outdated systems, distributing data across silos. She consolidated data sources to connect these systems with cloud databases, making each NOx or CO2 data point move smoothly. AI-powered data cleansing eliminated duplicates, maintaining integrity. This interconnectivity allows predictive analytics to alert about methane danger, such as a storm-triggered possible leak, triggering an early check on valves.