... and to understand their relationship with lithological variations are valuable information for wellbore stability and well completion. Downhole feature extraction of the borehole failures with artificial intelligence enabled processing can then help in transmission of relevant geomechanical information with most...

... 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...

...). Sustainable development of smart cities: a systematic review of the literature. Journal of Open Innovation: Technology, Market and Complexity. 13 artificial intelligence baseline scenario climate change social responsibility water management planning criteria renewable energy sustainable...

... with their lithologies and geological ages. 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...

.... This first demonstration sets the basis for the concrete development of quantum autoencoding strategies and their practical use on real data sets for actual industrial applications. artificial intelligence separator quantum autoencoder operation neural network quantum neuron library...

... or operations. 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...

... 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...

... 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 interpretation channelized feature...

... 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...

... calculation electricity dimension moonpool ocean energy social responsibility wave motion platform efficiency subsea system artificial intelligence configuration installation site turbine installation photovoltaic panel renewable offshore energy floating platform renewable energy...

... consumption (about 22,000 TWh/year). The amount of energy that can be potentially harnessed from the ocean and sea waves is of 1,500 - 7,500 TWh/year, corresponding to 10% and 25% of the world's yearly electricity demand (IRENA, 2020 Ocean Renewable Energy - Fostering a Blue Economy). artificial...

.... climate change log analysis machine learning data mining upstream oil & gas input log vpv plot reconstruction log reconstruction subsurface storage information upper part reliability predictive analytic reservoir characterization artificial intelligence training set geomechanical...

..., Ferdeghini C, Spinella C, Guidolin M, Trotta A, Braccini V, submitted for the publication on Sci. Rep. 6 information fusion nuclear fusion application superconductor different stoichiometry srtio 3 substrate artificial intelligence conductor ab plane application caf 2 technol coated conductor...

...). These countries in an international collaboration are concentrating their efforts on a joint program aimed at the realization of the experimental fusion reactor ITER [1]. artificial intelligence maintenance handling system sensor ground transportation operation requirement rail transportation...

... stripping, basin modelling provides the evolution of pressure through time, which can be coupled with Geomechanics to get a consistent model. reservoir geomechanics wellbore design reservoir characterization subsurface storage machine learning artificial intelligence climate change wellbore...

... and troubleshooting. information fusion dimension drilling data real time system upstream oil & gas incoming data operation service company data quality control artificial intelligence infrastructure drilling analytic eni data quality server energistic drilling operation witsml file kpis...

... characterization artificial intelligence drilling operation upstream oil & gas bottom hole pressure stuck pipe drilling string explorative layer permeable layer mud weight application narrow ppfg window hole problem mpd system redundancy reliability casing and cementing e-nbd tm technique...

... of innovation. sustainable development renewable energy open innovation model eni artificial intelligence industrialization deployment social responsibility joule sustainability contract application new solution new technological development model collaboration rights energy transition...

... , Society of Petroleum Engineers, 1986. 10 log analysis subsurface storage production monitoring artificial intelligence climate change well logging upstream oil & gas production control reservoir surveillance joint inversion pnl response realization pnl interpretation plume composition...