1. AI-Powered Methane Detection Systems Exploring how artificial intelligence and edge computing are enabling faster, more accurate methane leak detection across production facilities.

2. Quantum Sensing for Precision Emissions Monitoring Learn how advances in quantum technology are improving detection limits and verification accuracy for greenhouse gas measurements.

3. Satellite and Aerial Surveillance for Global Methane Tracking See how new satellite constellations and drone platforms deliver continuous, high-resolution monitoring of emissions worldwide.

• Mapping the Landscape and understanding key international and regional emissions reporting frameworks — and where they overlap or conflict. 

• Data Integrity & Transparency: Leveraging digital tools to ensure consistent, auditable, and comparable reporting across jurisdictions. 

• Turning compliance obligations into strategic opportunities for efficiency and reputation building. 

• Exploring how technology, automation, AI, and integrated platforms simplify multi-jurisdictional compliance and verification. 

• Preparing for future convergence — what global alignment could mean for operators and investors. 

Tracing the roadmap from pilot initiatives to enterprise-wide decarbonization, highlighting lessons learned in scaling technologies and processes.

· Integrating emissions reduction targets into core business strategy, capital allocation, and operational planning.

· Overcoming key barriers — from data transparency and cost constraints to stakeholder alignment and regulatory complexity.

· Measuring progress through standardized MRV systems, verified emissions reporting, and performance-driven KPIs to ensure lasting impact

· Exploring a comparative analysis of methane emissions intensity for over 40 total operators across the U.S. and internationally

· Exploring how operator type, geography, and regulatory context influence methane performance

· Highlighting key sources of methane emissions and the role of operational practices in mitigation

· Reviewing current methane reporting frameworks and discussing implications for cross-border benchmarking

· Overcoming challenges and defining the future direction of AI implementation in emissions management

· Integrating diverse data sources to improve model accuracy and transparency

· Using machine learning to identify high-impact reduction opportunities in complex operations

· Ensuring model interpretability and regulatory alignment for trustworthy emissions forecasting

1. Exploring opportunities for Progress on US Climate Policies: Implications for the Oil and Gas Industry
   Waqar Qureshi, Congressional Liaison, Citizens’ Climate Lobby 

2. Standardizing Next-Gen MRV: Integrating Real-Time Data from Satellites and IoT 

3. Bridging the Gap: Automated Data Capture vs. Manual GHG Inventory Auditing 

4. Quantum Technologies: The Next Frontier in Emissions Detection  

1. Digital Twins for Emissions Optimization Understand how real-time digital twin models help operators simulate and reduce emissions across entire asset portfolios.

2. Continuous Monitoring with Next-Generation Sensors Discover the latest fixed and mobile sensor networks that provide 24/7 emissions visibility and automated reporting.

3. Carbon Capture, Utilization, and Storage (CCUS) Innovations Hear from developers advancing capture efficiency, monitoring integrity, and lifecycle verification in CCUS projects.

Examining how data centers power sustainable digital transformation, track emissions accurately, and reduce environmental impact in oil and gas.

· Building integrated data ecosystems for transparent, auditable emissions reporting.

· Reducing the carbon footprint of digital infrastructure via renewable energy and efficient power strategies.

· Leveraging AI and automation for predictive emissions modeling, verification, and energy optimization.

· Aligning IT, compliance, and sustainability teams to drive enterprise-wide accountability and future-ready energy solutions.

Exploring how industry leaders are transforming methane mitigation from a compliance challenge into a commercial and environmental opportunity. 

• Deploying methane capture, utilization, and flaring reduction initiatives to achieve measurable impact. 

• Integrating advanced detection and data analytics to verify reductions in real time. 

• Building business cases that link methane mitigation to operational efficiency and ESG value. 

• Collaborating across the energy value chain to scale verified, low-carbon practices. 

· What are the practical obstacles for operators in diverse geographies (e.g. remote, offshore, high-H₂S) to comply with verification requirements?

· How can “reasonable assurance” be defined consistently across verifiers without being overly burdensome or too lenient?

· What incentives or regulatory mechanisms might encourage adoption (or alignment) of the protocol beyond EU importers?

· How should feedback from this global consultation phase shape final protocol decisions — e.g. flexibility vs consistency, regional adjustments, independent oversight?

1. Real-time Emissions Tracking: Using Process Data to Quantify and Manage Methane 

• Demonstrating real-time detection, quantification, and attribution of methane venting events using plant historian and SCADA data. 
• Linking emissions behavior to operational activities through continuous data analysis and advanced process modeling.
• Calculating real-time carbon intensity across product streams to enable continuous emissions intelligence and proactive management.
• Delivering AI-driven smart alerts, root-cause insights, and scenario testing to validate mitigation strategies and align with regulatory and voluntary frameworks such as OGMP 2.0 
  Alberto Alva-Argaez, Process Ecology

2. Blockchain for Verified Emissions Data Explore how blockchain technology ensures transparency and traceability in emissions reporting and carbon accounting.

3. Smart Flares and Combustion Control Systems See how intelligent flare systems and adaptive combustion analytics are reducing routine emissions from upstream operations.

4. Low-Leak Equipment and Process Design Learn about engineering innovations that minimize fugitive emissions through improved materials, seals, and system integration.

5. Integrated MRV Platforms for Regulatory Compliance Discover end-to-end Monitoring, Reporting, and Verification (MRV) systems that streamline compliance with emerging methane regulations.

· Looking at advances in scope 3 measurements and reporting methodologies, data collection, and alignment with the GHG Protocol for energy companies.

· Highlighting value chain transparency and engaging suppliers, partners, and customers to improve visibility and accountability in energy operations.

· Understanding global ESG and carbon disclosure requirements for the energy sector.

· Exploring mitigation strategies by using procurement, supplier collaboration, and operational innovation to reduce Scope 3 emissions.

Emissions Reporting Discrepancies Reconciled by Implications of Reported Oil Production 

• Emissions reporting in Texas consistently identifies less methane than measured in the atmosphere in reporting areas.  

• Texas regulations allow low volumes of gas production to be emitted without measurement or reporting. 

• Emissions reporting do not include these allowed releases. 

• Estimates of the unreported gas releases corroborate the higher, top-down atmospheric measurements of emissions. 

· Identifying critical skill shortages in emissions quantification, verification, and low-carbon operations.

· Leveraging vocational training, micro-credentials, and certification programs to accelerate readiness.

· Collaboration models among operators, service providers, and educators to build a resilient carbon-competent workforce.

· The human dimension of the energy transition — empowering workers as change agents, not just adopters.

Discover the next generation of innovators transforming emissions management. In this fast-paced pitch session, four emerging technology companies will showcase groundbreaking solutions designed to help operators measure, manage, and reduce emissions more effectively.

Each start-up will have seven minutes to present how their technology drives real-world impact.

· Integrating emissions data seamlessly across operational, financial, and sustainability platforms to ensure consistency and traceability.

· Establishing governance frameworks and audit-ready data lineage to strengthen regulatory compliance and investor confidence.

· Leveraging cloud infrastructure, APIs, and data lakes to enable interoperability and real-time emissions insights.

· Overcoming data silos and organizational barriers to create a single source of truth for emissions reporting and performance tracking.

· Showcasing real-world collaborations between operators, technology vendors, academia, and regulators that deliver verifiable emissions results.

· Exploring how shared data platforms and transparency initiatives accelerate progress toward global emissions targets.

· Identifying best practices and governance models for building trust, defining roles, and maintaining accountability in multi-stakeholder projects.

· Demonstrating how partnerships translate into tangible impact—through pilot programs, co-funded innovation, and verified performance outcomes.