... science to enhance equipment performance, and can be replicated towards other types of equipment to achieve efficiency, economic and emissions improvements at scale. data mining compressor climate change optimization problem artificial intelligence accuracy gas turbine efficiency gas turbine...

... well steam flooding project is proposed and the optimization objective is to maximize the NPV of production over the life. The generally acknowledged Particle swarm optimization (PSO) is used for solution of the optimization problem. This method has been tested for a typical offshore horizontal well...

... drilling equipment tong optimization problem efficiency pipe operation reduction digital solution main elevator implementation artificial intelligence upstream oil & gas tubular running operation single joint elevator service company personnel tubular running process rig floor...

... intelligence framework membrane enhanced recovery social responsibility steam-assisted gravity drainage renewable energy katterbauer hydrogen recovery production monitoring artificial intelligence optimization problem sustainability klemen hydrogen production novel artificial intelligence...

... properties realization in their simulation models. The impact of uncertainties in chemical properties on simulated ASP oil recovery profile is demonstrated in this paper. chemical flooding methods enhanced recovery artificial intelligence machine learning optimization problem chemical realization...

... at different operating conditions. real time system complex reservoir optimization problem artificial intelligence upstream oil & gas condensate reservoir specification model accuracy rvp condensate production accuracy cso solution condensate specification thailand asset condensate...

... that assesses online health status and probability of failure, by detecting functional anomalies or aging phenomena and evaluating their impact on asset serviceability. data mining optimization problem severity artificial intelligence upstream oil & gas risk management use case maintenance...

... and economic benefit under low operation cost. machine learning directional drilling capacitance resistance modeling artificial intelligence waterflooding optimization problem upstream oil & gas reservoir pressure injection production optimization water cut pressure recovery speed big data...

... optimization system yielded positive results, with many examples of increased ROP realized after following drilling parameter recommendations provided by the software. machine learning optimization problem artificial intelligence evolutionary algorithm neural network independent well rop estimation...

... cutter drilling optimization case history artificial intelligence optimization problem phm ecd limit well duration mahakam inch cutter pdc drill bit offshore technology conference bit selection drilling fluids and materials upstream oil & gas musd bottom rop operator architecture...

... control equipment flow in porous media reservoir simulation drilling operation horizontal grid resolution fluid dynamics directional drilling resolution artificial intelligence optimization problem upstream oil & gas objective function aicd application horizontal well fluid entry...

... for design experience. machine learning upstream oil & gas riser design optimisation optimization problem steel catenary riser design optimisation evolutionary algorithm objective function field twin fatigue damage optimisation genetic algorithm optimal solution riser configuration...

... uncertainty quantification production data porosity vector reference model ensemble kalman filter reservoir model history matching prediction ensemble upstream oil & gas optimization problem deepwater reservoir enkf artificial intelligence initial ensemble production history machine...

... optimization problem pore pressure wellbore integrity engineer Ali Al Dabyah , Fadi Toutoungy and Jahad Aldawood , Baker Hughes ; Mohammad Al-Madan and Mohammad R. AlHudaithi , Saudi Aramco " Advanced Bottom-hole Assembly Design and Motor Technology Extends...

... stability penetration rate conical diamond element 5-in section cutter cde bit hole section conventional pdc pdc cutter drilling optimization configuration carbonate optimization problem rop bit design upstream oil & gas central cde bit selection durability drilling operation...

... scour depth scour hole offshore structure equation algorithm flow parameter optimization problem scour model hybrid numerical scour model artificial intelligence foundation evolution optimization algorithm optimization function scour depth Barth , T. J. , and Jespersen , D...

... constraint project scheduling problem stavanger supply chain artificial intelligence optimization problem different location upstream oil & gas total transportation cost Baptiste , P. , Le Pape , C. , & Nuijten , W. ( 2012 ). Constraint-based scheduling: applying...

... the results in a comparative manner to enhance understanding for more efficient reservoir management during SAGD processes. sagd machine learning optimization problem producer artificial intelligence enhanced recovery bitumen thermal method water temperature steam-assisted gravity drainage...

.... shutdown valve valve ball supply pressure designer actuated shutdown valve valve torque valve artificial intelligence torque actuator design upstream oil & gas actuator module optimization problem actuator weight requirement torque output air pressure safety factor actuator torque...

... injection well scenario producer recovery factor experiment artificial intelligence flow in porous media fluid dynamics otc 24680 reservoir characterization optimization problem permeability light oil reservoir upstream oil & gas steam quality OTC 24680 Combining Design of Experiments...