.... engine modeling artificial intelligence ice field module upstream oil & gas force model fpso machine learning interface controller vessel control ice condition scenario validation platform ice force model floating production system vessel model subsea system visualization...

... noise. Consequently, the best approach uses a machine learning-based technique that can resolve both temporal and spatial non-linear variations. The approach followed in this paper provides a long short-term memory (LSTM) network-based method to predict surface pressure in a fracturing job, considering...

... classifiers. Standard techniques usually result in classifier accuracies of between 85%-95%, depending on the resolution of the SAR (higher resolutions produce more accurate results) and the availability of multiple polarizations. To see if new machine learning techniques could be applied to increase...

... on the novel ice force modeling approach is provided. Finally, an overview of the model test program of a fully DP controlled vessel in managed ice conditions, which was completed to provide a database for building and validating the ice force model, is also offered. fpso machine learning module...

... materials and corrosion pipeline integrity production control pipeline corrosion technology conference estimation riser corrosion maintenance probability production logging flowline corrosion deviation reservoir surveillance pipeline integrity integrity management machine learning...

... concentration algorithm thickness region global otsu method machine learning thickness ice piece k-mean method ice thickness information ice thickness ice thickness region ice thickness camera international conference rectification time window References References Bourke , R.H...

.... artificial intelligence production monitoring machine learning pistolet bay temperature model northern newfoundland reservoir surveillance ice surface temperature depth-temperature profile radiation air temperature air temperature model dew point temperature production logging ice depth...

... scheme cold region science machine learning iceberg trajectory References References Allison , K. , Crocker , G. , Tran , H. , and Carrieres , T. . An ensemble forecast model of iceberg drift . Cold Regions Science and Technology, 108 : 1 – 9 , 2014 . Andersson...

... indicate that there was long term deformation at a rate of five cm/year, in addition to an average of magnitude of vertical movement of 4 cm between winter heaving and summer thawing during annual climate cycles. interferogram insar analysis machine learning surface movement insar measurement...

... technology conference effective porosity kovalenko well logging machine learning upstream oil & gas source rock gas bearing prospect identification log analysis reservoir rock reservoir horizon attenuation interpretation accumulation reservoir characterization genetic inversion...

... plans the companies commit to, and extract from this the likely activities. exploration well onshore discovery upcoming activity norway shale oil information license exploration program machine learning arctic exploration activity exxonmobil exploration activity offshore offshore...

... atlantic oscillation baltic sea annual correlation mib climate model timescale machine learning correlation energy conservation climate change mean temperature variability artificial intelligence nao time scale winter nao oscillation ice extent time series atmospheric circulation...

... modeling & simulation ice feature upstream oil & gas beacon trajectory machine learning artificial intelligence field data References References North American Regional Reanalysis (NARR), NCEP Reanalysis data provided by the NOAA/OAR/ESRL PSD , Boulder, Colorado, USA , from...

... artificial intelligence seismic vessel resolution compression ratio imagery management system file size seasonal feature vector machine learning feature vector algorithm OTC 24554 The Role of RADARSAT-2 SAR Data for Ice Seismic Operations Gordon Staples (MDA), Ray Pierce (Ion Geophysical...

... intelligence polarization otc 24600 ice condition decomposition ice feature fissel sar data ice characterization machine learning data source OTC 24600 Characterization of Hazardous Ice using Spaceborne SAR and Ice Profiling Sonar: Preliminary Results Kaan Ersahin, Leslie Brown, Anudeep Kanwar...

... and depth of pressure ridges. ice thickness distribution melt season machine learning arctic sea ice thickness ridged ice artificial intelligence fraction thickness distribution sea ice thickness mean ice thickness modal thickness norwegian polar institute sea ice extent variability...

... less than 0.3 m 2 . The purpose of this paper is to introduce this powerful technique to the ice science and ice engineering communities using the local ice pressure data as an example. machine learning quantile koenker face molikpaq regression upstream oil & gas quantile regression...

... educational technology simulator consequence accident friendship university student environmental education protection russia educational program sustainable development contingency planning virtual model environmental security virtual simulator machine learning OTC 23721 New Model...

... analysis imagery characterization ice condition sar image segmentation artificial intelligence machine learning us government segmentation result classification upstream oil & gas morphological segmentation application operation image analysis technique satellite imagery brightness...

... a high degree of informationcontent on basic ice parameters such as concentration, type and topography. upstream oil & gas information mapping polarization constellation sar ice constellation ice-water discrimination matrix machine learning classification artificial intelligence...