With over 1,000 exhibitors, Gastech provides a global platform for businesses from across the energy value chain to demonstrate their latest solutions and cutting-edge technologies directly to global industry leaders, decision-makers and financiers.
Learn moreThe Gastech Conferences serve as a critical platform for the industry, inspiring policy development, collective action, and knowledge sharing with the potential to drive technical innovation. These conferences are designed to support sustainable economic growth and deliver tangible global energy solutions.
Learn moreWe are pleased to announce that the Gastech 2026 Call for Papers opens in October 2025. Each year, Gastech’s Call for Papers provides thousands of pioneering energy professionals – from technical and scientific experts to executives and policymakers – with the opportunity to submit insightful and evidence-based abstracts for inclusion at Gastech’s Technical & Commercial Conference.
Learn moreThe Gastech Energy Club is a prestigious, members-only platform uniting Ministers, government officials, c-suite executives, and board members from world-leading energy companies.
Learn moreExplore the latest news and insights from the world’s largest exhibition and conference for natural gas, LNG, hydrogen, climate technologies, and AI in energy.
Learn moreThis high-level dialogue sets the roadmap for a secure, sustainable and stable energy future. Strategic leaders, policymakers and visionaries take the stage to inspire the natural gas and LNG community while advocating for the change and investment needed to transform our energy systems.
Discover how AI combined with 3D scanning transforms maintenance and turnaround preparation. Through real-world demos, lessons learned and case studies, we’ll show how Shared Reality helps reduce OPEX by up to 15%—by bringing unprecedented clarity, collaboration, and certainty to industrial site operations.
Discover how Glartek’s mobile-first, user-centric EHS Connected Worker platform—powered by AR, AI, and IoT—helps industrial companies enhance safety, quality, and operational performance. This session highlights real-world applications in EHS, training, audits, and collaboration, demonstrating how Glartek enables end-to-end work execution across asset-intensive industries.
There is no single “magic AI” for the complexities of real-world logistics. Two “brains” are required: the intuitive AI that understands language, and the logic engines that find optimal solutions to complex questions. This session reveals why the future is a hybrid system where both unite, guided by human expertise, to deliver truly efficient and resilient operations.
Phaseshift Technologies improves the reliability of critical components in the energy and mining industries by addressing the root cause of failure: the performance limits of materials in harsh operating environments. By combining AI-guided alloy design with advanced manufacturing, we develop new materials that outperform conventional alloys, enabling the production of components that reduce unplanned downtime, extend maintenance intervals, and perform reliably in harsh environments.
This session showcases AI + AR-powered visual inspection for Gas/LNG equipment such as turbines and pressure modules. By combining Digital Twin technology with real-time AR guidance and AI-driven defect detection, operators can reduce missed defects, accelerate inspection workflows, and improve customer acceptance—advancing Quality 4.0 in energy infrastructure.
This presentation demystifies and showcases Predictive Emissions Monitoring Systems (PEMS). We'll explore their function, utilizing process data, advanced modeling and AI tools for accurate emissions prediction. Discover how PEMS enhance environmental compliance, optimize industrial operations, and provide cost-effective, data-driven solutions for modern emissions management.
Discover how Senergetics combines advanced sensors and AI to make hidden industrial threats like corrosion under insulation visible in real time: enabling predictive maintenance, reducing downtime, and extending asset life. A smart, scalable solution for industries facing aging infrastructure, tighter budgets, and the loss of experienced personnel.
Methane compliance must be accurate, labour-efficient, and cost-effective. Xplorobot’s AI-powered component detection, combined with a high-precision TDLAS sensor, automatically tags each component and identifies emissions as small as 1 g/h. Designed to meet EU regulations, Xplorobot streamlines inspections, automates reporting, and prioritises repairs—reducing costs and accelerating time to remediation.
What if oil & gas logistics operated with the precision, safety, and transparency of the aviation industry? This session explores how aviation’s success in managing the seamless movement of people and cargo—powered by standardised data, automation, and AI—can be applied to offshore energy operations. From helicopter transfers to marine supply chains, we’ll examine how AI-enabled logistics and data harmonisation can address inefficiencies, break silos, and unlock smarter, safer workflows—whil... Read More
Gradyent.ai will present on how it uses digital twins of energy networks to improve performance, reduce CO2 emissions and save up to 10% on operating costs and realise up to 20% lower CapEx. Illustrated with examples of optimisation & nomination from a.o. Gasunie & Shell.
This session explores how digital twin-based monitoring and control of natural gas reciprocating compressors enhances reliability, efficiency, and visibility. By calculating metrics like blowby, emissions, and utilization, operators gain actionable insights to optimize performance, reduce unplanned downtime, and improve fleet-wide decision-making in dynamic field conditions.
Regulatory delays cost the energy sector billions. Labrynth’s hybrid AI-Expert platform brings speed, precision, and efficiency to infrastructure licensing. Learn how leading energy firms use Labrynth to slash time-to-approval and modernize workflows— and how utilities, cities, and developers accelerate by replacing red tape with real-time clarity.
In today’s asset-intensive industries, the pressure to reduce downtime, enhance operational efficiency, and meet ambitious sustainability targets is intensifying. While AI and digital transformation offer unprecedented potential, many organizations struggle to translate that promise into tangible results at scale. This presentation dives into the practical realities of deploying AI for Asset Performance Management (APM), uncovering the common pitfalls and showcasing progress with proven case stu... Read More
Manual reporting slows growth. Our AI software scales inspections without adding headcount, saving inspectors 50 hours monthly and onboarding client data 5x faster. This session shows how Scope-powered software tools eliminate bottlenecks, enabling rapid, scalable operations, enhancing safety and integrity.
Discover how autonomy is reshaping offshore inspection, maintenance, and operations. Learn what enables the shift, what challenges must be overcome, and the powerful benefits of moving from manual to autonomous.
Discover how AI combined with 3D scanning transforms maintenance and turnaround preparation. Through real-world demos, lessons learned and case studies, we’ll show how Shared Reality helps reduce OPEX by up to 15%—by bringing unprecedented clarity, collaboration, and certainty to industrial site operations.
Discover how Senergetics combines advanced sensors and AI to make hidden industrial threats like corrosion under insulation visible in real time: enabling predictive maintenance, reducing downtime, and extending asset life. A smart, scalable solution for industries facing aging infrastructure, tighter budgets, and the loss of experienced personnel.
This session explores how digital twin-based monitoring and control of natural gas reciprocating compressors enhances reliability, efficiency, and visibility. By calculating metrics like blowby, emissions, and utilization, operators gain actionable insights to optimize performance, reduce unplanned downtime, and improve fleet-wide decision-making in dynamic field conditions.
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