... & simulation information application technology efficiency sandbody recognition visualization geological model reservoir characterization artificial intelligence Introduction The computer has been the indispensable tools for the development of oilfield, and widely used in the filed of tectonic...

... and materials neural network fluid dynamics artificial neural network formation damage water saturation permeability mechanism mathematical model artificial intelligence machine learning reservoir flow in porous media formation sensitivity interfacial tension spe 130961 sensitivity prediction...

... estimation artificial intelligence flow metering evaluation expression fraction upstream oil & gas input quantity quantity densitometer reservoir surveillance monte carlo simulation production monitoring phase fraction phase velocity production control blob uncertainty evaluation spe...

... fracture family aperture mean difference compressional shear artificial intelligence stratigraphic interval reservoir characterization riedel shear fracture characterization ml 0 shear hydraulic fracturing significant difference fracture fracture length Introduction The Maracaibo...

... artificial intelligence probability pore pressure credibility upper limit circulation mud density machine learning point selection lower limit hole section drilling Introduction Casing program design, as one of the key factors that guarantees drilling to target layer safely...

.... gas reservoir upstream oil & gas reservoir surveillance production logging wellbore derivative curve flow model flow rate thermal model damage radius non-darcy effect fluid temperature production control production monitoring reservoir permeability artificial intelligence...

... surveillance apparent viscosity herschel-bulkley fluid annular pressure drilling artificial intelligence equation drilling fluid property shear rate viscosity color display application drilling fluids and materials velocity field rotation Introduction Annular flow modeling in boreholes...

... information. This study and the techniques applied have application in other complex fields. porosity stratigraphic flow profile lithofacies structural geology sandstone flow unit north malay basin storage capacity depofacies sand flat lorenz plot reservoir artificial intelligence miocene...

... control artificial intelligence wellbore model Introduction After the booming in oil and gas production in the late twentieth century, the number of wells drilled has increased substantially; nowadays, thousands of wells are being drilled in the globe annually. Meanwhile, as time progresses, new...

... reservoir pore pressure reservoir characterization equation drilling fluid stability artificial intelligence borehole water content hydration mudstone instability gas drilling wellbore design strength coefficient drilling stress distribution collapse density wellbore stability...

... to make contributions that do result in business game change. interpretation thin-bed evaluation stoiip flow quality indicator concept porosity shale well logging machine learning reservoir characterization log analysis evaluation artificial intelligence water saturation modeling...

..." in the design phase of a project leads to facilities that can support safe operations through decades of operations. action item project management project team procedure concept selection project organization operation upstream oil & gas process hazard risk assessment spe 131630 artificial...

... society of petroleum engineers oil relative permeability experiment saturation capillary pressure low permeability reservoir artificial intelligence jbn method upstream oil & gas fluid dynamics threshold pressure gradient Introduction Based on the generalized Darcy's low, taking non...

... tpf calculation compositional flow simulation modeling & simulation rv method eigenvalue gas prod execution time prod iteration calculation simulation eos upstream oil & gas oil prod flow simulation equation artificial intelligence simulator reservoir simulation...

... flow flowline corrosion artificial intelligence api round thread connection Introduction Erosion is defined as the removal of material from a solid surface by the repeated application of mechanical forces. Production facilities are often faced with erosion and erosion-corrosion damage...

... filtrate drilling fluid formulation agent internal mud cake external mud cake permeability breakthrough pressure permeability thickness artificial intelligence particle drilling fluid selection and formulation reservoir Introduction The invasion of particles and the filtrate of drilling...

... simulation match quality index outlier drillstem testing assessment artificial intelligence tolerance confidence interval linear regression analysis mlra water cut subjectivity simulation result machine learning quality index drillstem/well testing modeling & simulation evaluation...

..., skew value and kurtosis value can be used as drilling risk indicators automatic extraction technology kurtosis artificial intelligence minimum value fuzzy logic inference engine expert system drilling risk symptom indicator drilling risk average value time period upstream oil & gas...

... constant coefficient young model rop value prediction penetration neural network machine learning artificial intelligence application Introduction Overview In the recent years, drilling optimization techniques have been used to reduce drilling operation costs. This would be done...

... fracture artificial intelligence walsh asperity upstream oil & gas aperture virgin sample shale fracture permeability pressure dependence permeability measurement roughness fracturing fluid misregistration permeability hydraulic fracturing fracture surface flow in porous media...