... multiphase flow models for wells focus on obtaining good values for the most important input parameters. Reservoir Surveillance production monitoring production control multiphase flow production logging Upstream Oil & Gas calculation correlation roughness medium effect Artificial...

... scenario full tensor effect grid Scenario discrete fracture model coarse model equation Artificial Intelligence Upstream Oil & Gas upscaled model transmissibility media permeability unstructured grid SPE-192405-MS Multiple Scenarios Integrated Upscaling with Full Tensor Effects...

... engineers pressure interference time generalized scaling curve method Artificial Intelligence complex reservoir field data porosity fracture permeability pvt measurement drilling operation directional drilling Introduction Reserves assessment is very critical for shale plays development...

... production forecasting reserves evaluation soviet socialist republic production rate oil field wdc model waterflooded oil field relative error Artificial Intelligence history matching proposal distribution oil production kumkol oil field liquid production rate Reservoir Surveillance reservoir...

... strength correlation high accuracy Elkatatny drilling fluid property Upstream Oil & Gas drilling parameter Artificial Intelligence drilling fluid formulation input parameter ROP WOB Mahmoud testing data neuron training function sade-ann model RPM society of petroleum engineers...

... correlations. In this study, artificial intelligence techniques were used to estimate the cutting concentration in the wellbore. The purpose of this study is to use Support Vector Machine (SVM) technique to indirectly measure the hole cleaning efficiency by predicting the cutting concentration in the wellbore...

... the way they obtain well data information, and saved lot effort and time for data input for planning their wells. well planning data repository information management Upstream Oil & Gas information fusion corporate database survey data deviation survey data mapping Artificial...

... exponent and m is 1.6 for practical usage. Artificial Intelligent Techniques: Artificial Neural Network: Artificial Neural Network is the tool used to recognize and determine the classification of complex systems which can’t be achieved using human brain ( Huang et al. , 1996 ; Castillo...

... chemistry drilling fluid property Upstream Oil & Gas plastic viscosity prediction machine learning drilling fluids and materials abdulraheem viscosity artificial neural network real time prediction correlation coefficient apparent viscosity neuron Artificial Intelligence drilling fluid...

... of the model capabilities stated above and validate the use of liquid-analog rescaled-exponentials for the prediction of production decline behavior for each of the hydrocarbon species. production monitoring Reservoir Surveillance condensate reservoir Upstream Oil & Gas Artificial Intelligence...

... serve as a practical resource for drilling through the Hartha formation. well control machine learning Artificial Intelligence Upstream Oil & Gas Leverage plot Polymer Mud fcl mud drilling operation operational drilling parameter ROP model ECD model coefficient drilling fluids...

... compositional reservoir fluid variations as well as relative permeability in universal workflows. Artificial Intelligence flow in porous media machine learning neural network enhanced recovery Upstream Oil & Gas blind test injection design saturation Fluid Dynamics prediction miscibility...

... pressure depletion Modeling & Simulation Upstream Oil & Gas time-lapse shut-in pressure data core permeability data Artificial Intelligence reservoir simulation pressure data property distribution Reservoir Characterization Drillstem Testing Fluid Dynamics reservoir region permeability...

... fluid selection and formulation neural network accuracy machine learning drilling fluids and materials Engineering high accuracy Artificial Intelligence drilling fluid formulation mfv viscosity Elkatatny normalized value society of petroleum engineers rheological property ann technique...

...-MS Duns , H. , Ros , N.C.J. , 1963 . Vertical Flow of Gas and Liquid Mixtures from Boreholes . El Ouahed , A.K. , Tiab , D. , Mazouzi , A. , 2005 . Application of artificial intelligence to characterize naturally fractured zones in Hassi Messaoud Oil Field...

... operation point-the-bit system mechanism dogleg inclination steering mechanism cpsm mechanism tortuosity Artificial Intelligence wellbore tortuosity point-the-bit steering mechanism accuracy average tortuosity AAC push-the-bit system well path horizontal well Introduction One...

.... The novelty of this work is the deep investigation of the failure mechanics of different cement slurries in addition to supporting the main conclusion of this work by actual case studies. cement property complex reservoir high pressure high temperature Artificial Intelligence casing and cementing...

... process enabling the identification of right persons deserving to occupy leadership positions in the organization. Upstream Oil & Gas Effectiveness questionnaire Business ethics effective leadership Artificial Intelligence selection recruitment process personnel competence servant...

... collision with obstacle and the wellbore curvatures are appropriate, the new method avoid trial calculation, it is also applicable to other types of sidetrack well trajectory for bypassing obstacles. Artificial Intelligence optimization problem drilling operation Upstream Oil & Gas well...

... strategic planning and management drilling operation management multi-rig turnkey development drilling project contractor rig Artificial Intelligence Drilling Project Implementation machine learning drilling contractor society of petroleum engineers startup visual harc Directional Drilling...