... to collaborate to quickly and safely develop, operationalize and scale industrial AI solutions and applications to production. With a data foundation powered by Industrial DataOps, oil and gas companies can draw insights from their data and unlock opportunities in real time, making their operations faster, safer...

... upstream oil & gas sustainability downstream oil & gas social responsibility risk management strategic planning and management europe government retrieved covid-19 pandemic climate change operation threat sustainable development investment project management institute...

... data security big data threat cyberwarfare data mining machine learning cybersecurity artificial intelligence leveraging security analytic investigation alert infrastructure mitigate signature ai-based platform connectivity resilient cybersecurity operation gas infrastructure...

... Abstract MOL Group is an international oil, gas, petrochemicals and retail company with market leading positions in Central and Eastern Europe (CEE). MOL Group Downstream operates in 12 countries with 6 production units satisfying wholesale customer needs with 18 mtpa refined products and 1,3...

... banking & finance visibility downstream oil & gas knowledge management agility accenture artificial intelligence optimization logistics reduction scheduling midstream operation upstream oil & gas volatility decision-making transaction outbound logistics lever...

... upstream oil & gas transition transformation available sustainability climate change portfolio decarbonizing energy downstream oil & gas sustainable development accenture workforce social responsibility emission energy major customer operation investment ga specialist...

... in the production of natural gas and oil. Since its formation, API has led the development of petroleum, petrochemical, natural gas equipment and operating standards for all industry segments. These standards represent the industry’s collective wisdom on subjects ranging from, drill bits to environmental protection...

... operation worldscale scc naphtha propylene selection Abstract While future changes in mobility are predicted to reduce the fuel-based demand growth, the conversion of low-value oil into higher value chemicals is expected to provide both opportunities for diversification and the right economic...

... upstream oil & gas artificial intelligence operator emission social responsibility climate change sustainability natural language category air emission united states government sustainable development scope 3 darcy partner disruptive technology ghg emission operation...

... and proprietary data sources. The uniqueness of the portal lies in its ability to configure user interfaces, operational focused workflows, dashboards, alerts and reports in different format. After integrating Qatargas and RasGas, a unique case for which the new company needed data management tools to maximise...

... if : - we imagined pioneer technologies and operational models with the agility to quickly and precisely evaluate the prospectivity of remote and huge scale onshore or offshore areas, without any environmental impact? - the solutions would be targeting multiphysics fit-for-purpose at an upfront stage...

... intelligence (AI) and data science methodologies to improve production optimization within their upstream operations facilities. The goal of the project was to optimize across siloes, flag upsets early for timely response and identify and action opportunities in real-time. The scale of the project included...

... europe government totalenergies united states government operation installation robot operator argo challenge reliability inspection robot operation room interaction upstream oil & gas artificial intelligence simulation modification objective acceptability knowledge...

... Abstract In recent years, optimization via dynamic modeling and simulation has emerged as a low-cost method of enhancing the profitability of upstream operations. However, companies using simulators today face several challenges. Among these include the need to deploy separate models...

... africa government europe government spain government downstream oil & gas refinery operation terminal conversion scenario profitability available biorefinery cargo asia government banking & finance storage hub source surplus storage capacity trading strategy covid-19...

... downstream oil & gas gas monetization lng asset and portfolio management investment optimization problem united states government risk management stressor configuration operation artificial intelligence breakdown irr ridt unplanned shutdown resilience investment netherlands...

... operations. The objective of this research was to evaluate the application of computer vision as a viable technique to create machine learning models for ESP failure detection and diagnostics. The intuition for this work comes from observing the diagnostics process followed by trained ESP surveillance...

... Abstract Both the oil and gas sector and the mining sector are feeling investor pressure to reduce operational and value-chain carbon emissions. Consequently, whilst fundamentally different in nature, these sectors have an opportunity to learn from each other in their quest to deploy low...

... presenting a potentially viable, carbon-free supply of process heat and electricity. Many SMNR designs make use of innovative technology that allows them to provide high-grade heat while remaining flexible enough to integrate into either existing or new operations. This paper will introduce SMNRs and how...

...F10 - New marketing approaches for delivering products to consumers 22nd World Petroleum Congress, Istanbul 2017 JOINT OPTIMIZATION OF RETAIL STATION OPERATION AND SECONDARY DISTRIBUTION WITH UTILIZATION OF NEW BUSINESS MODELS Máté Zöldy, Market Operation Regional Leader, MOL Group, Hungary Csaba...