... Abstract This paper presents an Artificial Intelligence (AI) based implementation for anomaly detection in critical industrial equipment at TotalEnergies. The approach was initially inspired by the work of Sipple, J. (2020) , on AI anomaly detection in smart buildings. This approach has since...

... artificial intelligence machine learning advancement hybrid workflow hybrid workflow-a history united states government workflow society simulator integration asia government modeling & simulation petroleum engineer reservoir simulator alessio exhibition journal Introduction...

..., proposed in this paper, proves that electrification with higher penetration levels could be achieved with lower LCOE which is a milestone for achieving net-zero assets. united kingdom government upstream oil & gas social responsibility storage artificial intelligence netherlands government...

... integrity risk management assessment reliability assessment artificial intelligence eqn pipeline corrosion matrix consideration aberdeen application materials and corrosion cloud monotonically cessation united kingdom government subsurface corrosion offshore pipeline flowline corrosion...

... further development is required to ensure reliability in the presence of other equipment and marine life. brazil government pipe upstream oil & gas algorithm anomaly information border midstream oil & gas artificial intelligence inspection axis scalogram twisted pipeline...

... measurement wellbore integrity incident conference dnn model performance artificial intelligence model stuck pipe incident figure 1 machine learning model performance physical model stuckpipe prediction Introduction Stuck pipe phenomenon has always been categorized as a sudden freeze...

... participant 2 worker swing shift pattern participant 3 information participant 1 difference hse upstream oil & gas artificial intelligence interview questionnaire severity rr318 exploring fatigue motivation Introduction Fatigue is a serious health issue and safety hazard, often...

... control safety and enables further automatic well control process. asia government upstream oil & gas sery united states government europe government data mining algorithm well control real time system annular pressure drilling artificial intelligence machine learning detection kick...

... equipment groups. emission upstream oil & gas europe government air emission united states government flight artificial intelligence altitude operation climate change sensor air transportation north america government methane emission offshore platform plume quantification...

... of the reservoir environment as well as impact the cap rock integrity ( Jiang, et al. 2014 ). clastic rock mineral geologist asia government norway government reservoir characterization injection upstream oil & gas deep learning europe government enhanced recovery co2 rock type artificial...

... artificial intelligence sustainability sustainable development united kingdom government europe government climate change west shetland infrastructure consideration farm turbine installation reduction storage electrification platform grid north sea electricity wind energy emission...

... knowledge management assembly isolation valve remediation wellhead clamp upstream oil & gas artificial intelligence remotely operated vehicle configuration integrity cement mechanism society offshore operation tooling spe-215578-ms intervention procedure diameter hot tapping machine...

... performed extensively in the past. The developed machine learning model will improve real-time drilling analysis. geology geologist norway government rock type well logging drilling measurement log analysis united states government artificial intelligence drilling data acquisition upstream...

... government ndt probe integrity splash subsea zone upstream oil & gas artificial intelligence pipe geometry operation brace testing robot automated non-destructive weld inspection algorithm petroleum engineer society Introduction Jacket lifetime calculations are based on very long...

... for a pit test is then presented. This section contains a discussion on its design principles, a description of the marinized heating system, and test results. upstream oil & gas europe government united states government artificial intelligence hydrate subsea processing particle pipe...

... a novel automated system to reduce failures by analyzing real-time sensor data and statistical parameters to predict failures in ALs. The predictive tool supports work over plans including ESP replacement strategies, and reduces production losses. deep learning artificial intelligence asia...

... development and operation support. Here we demonstrate applications of the recommended practices for assurance, with examples from recent projects. requirement data quality assessment operation upstream oil & gas artificial intelligence strategic planning and management dnv united kingdom...

... comprehensive fluid flow mechanisms from the pore scale to much larger scales. In addition, artificial intelligence (AI) techniques can add significant value to geoscience workflows, automating time-consuming tasks, some even prohibitively long if done manually (such as 3D image volume labelling), and obtaining...

... kingdom government africa government completion monitoring systems/intelligent wells optimization algorithm gradient-based algorithm simultaneous perturbation stochastic approximation engineering spsa algorithm criterion npv artificial intelligence petroleum science icv lateral enhanced...

... united states government machine learning upstream oil & gas europe government real time system geology artificial intelligence algorithm application spectrum sensor operation fraction composition pvt measurement information prediction provide in-situ fluid analysis spectroscopy...