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 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.
Learn moreOptimising energy transformation through innovation.
The rise in generative artificial intelligence technology is transforming all areas of society. It is reshaping traditional energy business models and increasing power demand rapidly. New cost models promise to make AI more accessible and encourage progress towards transition goals.
Gastech will bring together the leading stakeholders at the forefront of AI to explore its impact on the global energy sector and wider society.
The energy industry is at a critical juncture, balancing the urgent need to decarbonise with the responsibility of providing secure, reliable energy during a time of heightened volatility. Companies face a complex array of challenges, including talent shortages, rising costs, investor and consumer pressures, the integration of AI technologies, and adapting to a changing regulatory environment.The natural gas and LNG market is forecast to grow to 4.73 tcm by 2050 and will remain essential corners... Read More
With 2024 being the first year on record to surpass the 1.5°C global average threshold, the urgency to reach net zero has never been greater. AI-driven climate technologies have emerged as a vital tool in speeding up decarbonisation, with new applications in predictive maintenance, large-scale data processing, and energy production optimisation leading to significant emissions reductions. AI has immense potential to unlock the full capabilities of climate technologies and drive their widesp... Read More
Audience insight: Pragmatic strategies for harnessing AI, investment, and the flexibility of gas and LNG to secure a lower-carbon future.
By 2026, global power demand from data centres is set to double to 1,000 TWh, more than twice Germany's total energy use in 2022. In the United States, powering data centres may need an extra 8.5 bcf/d of natural gas by 2030. This rise in demand brings challenges, including strain on ageing power grids and intensified competition between local gas consumers and LNG exporters.However, natural gas and the AI sector can drive each other’s growth. As a lower carbon energy feedstock, natural gas meet... Read More
Ensuring grid security and resilience is crucial to meet the demand of future power markets. This is notably needed to meet the additional pressure on infrastructure resulting from the boom in AI technologies development and increased renewable capacity on the grid. To achieve this transformation, modernisation of grid infrastructure will be essential, along with enhanced energy storage solutions, and the implementation of AI-powered smart grid technologies. Government policies that support rene... Read More
As of early 2025, 27 Direct Air Capture (DAC) plants have been commissioned worldwide, with another 130 large-scale facilities in development, indicating growing momentum driven by strategic partnerships and rising public and private investment. However, DAC remains in the early stages of commercialisation, facing challenges that include high operational costs, limited technology readiness, and a lack of demand, with few buyers committed to long-term offtake agreements. In addition, the ene... Read More
According to the World Economic Forum, AI is set to deliver up to US $1.3tn in economic value annually to the energy sector by 2030, revolutionising operations from predictive maintenance to real-time grid optimisation. As natural gas, hydrogen, and power networks face mounting pressure to enhance efficiency and resilience, AI-driven technologies offer unprecedented opportunities to streamline decision-making, reduce costs, and improve asset reliability.However, digital challenges including data... Read More
Methane emission abatement and flaring reductions are crucial for global decarbonisation efforts, and the application of new AI technologies promises to significantly improve real-time detection and reporting and response on an unprecedented scale and speed. The methane data revolution is being adopted by organisations and initiatives such as UNEP, the Global Methane Pledge, and OGMP 2.0. The launch of the European Union’s Methane Abatement Roadmap provides a strategic framework to accelera... Read More
Nuclear power, now the second-largest source of low carbon electricity worldwide, is experiencing a resurgence, with 29 GW of new nuclear capacity expected to come online by 2026. At COP28, 31 countries signed the Declaration to Triple Nuclear Energy, further solidifying nuclear’s role in the future energy mix. A key driver of this resurgence is the rapid growth in demand for energy-intensive data centres. According to Forbes, these data centres and their associated transmission networks ac... Read More
Artificial intelligence is poised to revolutionise industries, with McKinsey projecting it could add US $13tn to the global economy by 2030. However, meeting the substantial energy demands of AI-driven datacentres is critical to realising this promise. The high energy requirements have raised concerns the environmental footprint of AI could overshadow its potential contributions to decarbonisation.Developing and deploying low-energy, high-impact AI solutions will be essential to harness the bene... Read More
Electrical grids are the backbone of modern civilisation, yet our present networks are not future proofed – with investment of US $21.4tn needed by 2050 to support a net zero trajectory. Integrating the expanding range of renewable energy sources within existing electrical grids - to meet rising energy demand and achieve a lower-carbon future - will require a major transformation of current power infrastructure. This includes modernising existing grid infrastructures with new sensors and softwar... Read More
Enhancing the agility and resilience of supply chains requires a multifaceted approach and is critical for long-term business success. Proactive strategies such as supplier diversification, robust risk management, and operational flexibility must be seamlessly integrated with digital innovations — including AI-driven forecasting and real-time monitoring — to improve visibility and responsiveness in an increasingly volatile landscape. As market conditions continue to fluctuate, how can busin... Read More
Artificial intelligence (AI) has the potential to revolutionise supply chain resilience by transforming vast amounts of data into actionable insights at an unprecedented pace. This enables businesses to anticipate potential disruptions, streamline decision-making processes, and enhance both operational and cost efficiency. However, in order to harness the full capabilities of AI, businesses must continuously develop and integrate machine learning, automation, and predictive analysis – incl... Read More
New technologies and innovation will be critical for the energy industry to meet mid-century climate goals, requiring a skilled workforce to scale the commercialisation of technologies to enable a lower-carbon future in the near term. McKinsey predicts that current employment trends will lead to a 101.5% supply and demand gap in green talent by 2050. However, the talent pools from which the energy industry has traditionally drawn skilled employees are shrinking. There is an unden... Read More
A look back over the last four days, highlighting the unparalleled blend of pioneering content, thought leadership and cutting edge innovation. Pulling the key points from both the Strategic Conference and Technical & Commercial Conference, the Co-Chairs of the Governing Body will summarise how Gastech 2025 will lead to actions for global energy transformation.
Artificial intelligence is transforming industries worldwide, offering a revolutionary potential to enhance efficiency, productivity, and innovation. In the energy sector, AI can be a game-changer, accelerating the transition to secure and decarbonised systems. However, its rapid evolution presents significant challenges. Concerns include resource disparities, the uneven global distribution of AI capabilities, and the risks of misinformation, political interference, and job displacement. The ene... Read More
Autonomous robotic inspection in the energy industry: A study on optimal robot positioning and sensor placementManuel Pencelli, Lead Robotics Specialist, Nuovo Pignone Tecnologie s.r.l., Baker Hughes CompanyNeuron 5: Transformative auto-sapient AI facility technologyShamsa Aldhaheri, Specialist, ADNOCTransforming energy operations with Virtual Plant: Practical AI-driven solutions for digitalised design, operations, and monitoringEsma Gulten, Co-founder & CEO, Gizil GmbHReserve paper:Ensuring... Read More
Mixed reality for construction tracking and quality inspection of LNG modulesAkshai R, Lead Engineer - Virtual & Augmented Reality, Baker HughesAdvisory optimisation at WNGLF using Reinforcement LearningAbdulrahman Aljalal, Engineer, Saudi AramcoExpanding the application and benefits of modularisation in LNG facilities to include automation and digitalisationChris Jones, President, Compressor Controls Corporation
Months to minutes: AI-powered FEL design execution gainsMatt Lawrence, Director - Engineering Technology Solutions, KiewitTackling the 65% megaproject failure epidemic: Six key levers amplified by digital & AIPeter Carydias, Principal, WoodDigital transformation in energy projects: Enabling execution excellence with an unified platformYogesh Srivastava, CEO, TeknobuiltReserve paper:Breaking silos: How connected data platforms accelerate oil & gas megaproject deliveryJames Chambers, Direc... Read More
Dynamic Package Control: Physics-based digital twins optimising gas compression for efficiency, reliability, and sustainabilityAdrian Cowan, Engineering Services Manager, Detechtion TechnologiesGraph-based physics-informed machine learning model delivers accurate gas plant simulation for gas lifting operationsAna Clara Teixeira, Staff Data Scientist, Shape Digital From human hands to AI minds John Cumming, Director, Worley Consulting Digital Reserve paper:Create Context, predict o... Read More
AI-driven closed-loop implementation for enhanced efficiency and sustainabilityChen Horng Tan, Process Engineer, Malaysia LNGCommercial risks and benefits of AI in the LNG value chainMiraan Amin, Consultant, Gas StrategiesAuthentic data generation system for diverse simulation scenarios in the energy industryMauro Vitale, Lead AI Specialist, Nuovo Pignone Baker Hughes Company
Enhancing cyber resilience in the gas carrier industry: Assessing ships’ security awareness and best practicesPhilippe Vaquer, Cyber Security Manager, Bureau Veritas Marine & OffshoreEmerging Operational Technology (OT) security tools in the LNG value chain for a sustainable energy transitionTolulope Ijitona, Senior Instrumentation Engineer, NLNGThe rise of all source-monitoring: The reshaping of OT cybersecurity detection and response for critical infrastructureIan Bramson, VP - Global Indu... Read More
Digital HAZOPs: A case studyAlfredo Hermann Haubold Faría, Product Manager, Vysus GroupRevolutionising safety and reducing rework with digital and AI solutionsWassim Ghadban, VP - Global Innovation & Digital Engineering, KentMoving from compliance-driven safety to intelligence-driven risk managementAndrew Derbyshire, Technical Partner, ERM
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