... artificial intelligence constraint sea state ocean energy sustainability controller contribution control system social responsibility economic contribute hull disturbance torque matrix control parameter robustness equation algorithm cost function sustainable development...

... allows to extend the methodology to frontier uncalibrated areas, giving the interpreter a qualitative and, if possible, also quantitative estimate of source rock properties distribution. structural geology avo anomaly calibration organic content artificial intelligence seismic data...

... municipalities and other public bodies to adopt integrated and sustainable energy efficiency plans with clear objectives, to involve citizens in their development and implementation and to adequately inform them about their content and progress in achieving objectives. artificial intelligence baseline...

... fracture characterization study area reservoir characterization anomaly growth listric fault exploration significance time slice artificial intelligence hangingwall dipslope nile delta amplitude plio-pleistocene succession upstream oil & gas facies belayim petroleum company...

... inspection artificial intelligence upstream oil & gas vehicle video camera wellhead digitalisation cleansea hybrid auv rov environmental monitoring reconstruction asset integrity management correction operation point cloud subsea wellhead A SUCCESS STORY OF DIGITALISATION FOR ASSET...

... reservoir characterization deep learning natural language structural geology machine learning neural network annotator paragraph information query traversal ontology node basin data flow artificial intelligence upstream oil & gas pipeline algorithm lithology geological...

... wind energy sustainability ring section climate change sustainable development upstream oil & gas constraint calculation electricity dimension moonpool ocean energy social responsibility wave motion platform efficiency subsea system artificial intelligence configuration...

... learning upstream oil & gas structural uncertainty workflow artificial intelligence uncertainty parameterization multiplier della rossa ernesto anastasi patrizia history matching modification uncertainty parameter error map ensemble initial ensemble uncertainty context aly mohamed amr...

... Digital revolution, Industry 4.0, IoT, Machine Learning, Artificial Intelligence. All these terms have become buzzwords in today's energy industry. More specifically, in the drilling industry, the ideas of digitalization and the use of computers to improve operations and facilitate work and communication...

.... annular pressure drilling tool joint driller operator drilling operation artificial intelligence detection procedure formation fluid well control upstream oil & gas reducing operator stress kms drill string stress level drill pipe implementation configuration automation indicator...

...]. The technique has reached a high maturity level and robustness, as well as a millimeter accuracy in the measurements of ground surface displacements. artificial intelligence displacement map upstream oil & gas health & medicine gnss station corner reflector displacement rate sar...

... sets for actual industrial applications. artificial intelligence separator quantum autoencoder operation neural network quantum neuron library classification problem implementation representation decoder information quantum computing reconstruction error quantum algorithm machine...

... shrivastava drilling measurement production monitoring well logging lwd wellbore seismic reservoir surveillance real-time geology neural network lwd imager upstream oil & gas information symposium reservoir characterization drilling data acquisition artificial intelligence drilling...

... vpv plot reconstruction log reconstruction subsurface storage information upper part reliability predictive analytic reservoir characterization artificial intelligence training set geomechanical study algorithm dataset well logging critical driver sonic log elastic log reconstruction...

.../Reef and these are labeled from 1 to 4 respectively. Distribution and count of each class per well is shown in figure (1a). We can clearly see that facies 2 and 4 dominate the data set and this might influence model predictability. artificial intelligence criteria facies machine learning...

... artificial intelligence big data analytic data mining advanced analytic montini exhibition cadei big data offshore mediterranean conference operating envelope plant engineer hazardous event ravenna sensor production optimization operator specific equipment manage hazardous event MACHINE...

... as well as for better future formation evaluation operations planning to minimize cost of well delivery and efficiently lift resources utilization. This type of methodology represents a real case study conducted in south Kuwait thought artificial intelligence on geological data and downhole formation...

... will accelerate EKC to reach its turning point. machine learning artificial intelligence knowledge management social responsibility sustainability us government platform galloprovincialis ecosystem service upstream oil & gas artificial reef sustainable development human computer interaction...

... application machine learning artificial intelligence precipitation classification area pozzo threshold agri area preventive hydrogeological hazard kalm-hd weather station early warning system kassandra meteo forecast forecast early warning application italy EARLY WARNING SYSTEM...

... the atmosphere. real time system workplace hazard artificial intelligence data mining sustainable development corrosion inhibition sustainability absorption efficiency environmental impact ravenna process flow diagram production chemistry h2s management montini offshore mediterranean...