... in prolonged operational life and efficiency of equipment, thus reducing Non-Productive Time. hydraulic fracturing operator efficiency operation technipfmc downtime upstream oil & gas artificial intelligence intervention autonomous operation judgement procedure mechanism united states...

... geological and technical uncertainties make it essential for operating engineers to have the capability to actively manage oil production throughout all the operating life cycle of the wellbores. Introduction upstream oil & gas pvt measurement asia government optimization problem artificial...

... learning upstream oil & gas thermal expansion expansion gravity pvt measurement saudi arabia government correlation empirical correlation asia government artificial intelligence oil-specific gravity coefficient isobaric instantaneous thermal expansion coefficient deviation hydrocarbon...

... & gas reservoir simulation artificial intelligence digitally augmented subsurface history match dash-sim magnitude reservoir simulation history matching Introduction History matching is one of the key phases in integrated reservoir simulation studies where it is required to calibrate all...

... artificial intelligence upstream oil & gas esp asia government artificial lift system pfa operator electrical submersible pump failure rul pred abu dhabi international petroleum exhibition united states government machine learning conference information graph operation...

... maps interactively, so the operator can continuously optimize the infill drilling locations between Field Development Plan cycles. scenario reservoir simulation asia government artificial intelligence kuwait government novel high-speed ai-physics hybrid model upstream oil & gas neural...

... reduction transportation upstream oil & gas operation asia government consumption optimization inventory environomic framework machine learning emission onepetro sustainable business practice productivity artificial intelligence constraint forecast thatcher true impact reduction...

... that can be adapted to remote Drilling Operations. Specifically, we will discuss non-cloud-based architectures and applications that can be deployed and managed over a hybrid communication architecture that is not dependent on a cloud platform. asia government upstream oil & gas saudi arabia...

.... upstream oil & gas asia government application information fusion artificial intelligence real time system convention automating well log data source log analysis database provider petrophysicist information management machine learning subsurface application engineer example...

... significant evidence of a difference in prediction performance between extreme gradient boost and random forest. asia government upstream oil & gas deep learning united states government neural network artificial intelligence reservoir characterization accuracy well logging hypothesis...

... into consideration common real field cases such as shut-in wells, workover operations, etc. by introducing dynamic characteristic coefficients [ 1 ]. upstream oil & gas artificial intelligence pinn deep learning prediction asia government machine learning coefficient architecture neural network...

... of the organization and different teams at many different levels with a very high accuracy while using Nonlinear Least Squares Method to estimate the LCT equations parameters. united states government asia government saudi arabia government upstream oil & gas square method equation artificial...

... constraints. upstream oil & gas penetration drilling operation uae government prediction neural network machine learning optimization asia government artificial intelligence conference united states government europe government vibration spe annual technical conference journal...

.... drilling operation annular pressure drilling risk management asia government artificial intelligence reinforcement learning sequence algorithm automation decision-making information epoch upstream oil & gas drilling equipment machine learning evaluation spe-214465-ms markov decision...

... efficient and sustainable with lower costs, inventory, wastage, and reduced emissions. forecast machine learning sequence upstream oil & gas accuracy prediction thatcher optimization artificial intelligence emission onepetro asia government consumption inventory management...

.... A process for continuous model refinements and improvements is outlined, allowing decision makers to maintain an ‘evergreen’ perspective of potential strategic alternatives in renewables. upstream oil & gas social responsibility artificial intelligence asia government north america government...

.... upstream oil & gas fluid dynamics structural geology flow in porous media asia government saudi arabia government reservoir simulation core analysis artificial intelligence saturation reservoir characterization application algorithm winland well logging machine learning multivariate...

... metering calculation artificial lift system reservoir surveillance upstream oil & gas flow rate liquid flow rate gas content pump operation flowmeter model operation gas-liquid mixture information coefficient wsg mixture wg mixture virtual flowmeter model differential pressure...

... neural network artificial intelligence upstream oil & gas abdulraheem accuracy drilling complex lithology prediction drilling data porosity model elkatatny artificial neural network model development porosity application rock porosity drilling parameter gamal petroleum engineer...

... optimization problem objective function commercial ahm software optimization algorithm history matching reservoir simulation artificial intelligence upstream oil & gas rock compressibility -region application corey oil corey water owc-eqlnum reservoir simulation model satnum...