... in the coordinate system shown in Figure 1. artificial intelligence displacement observation point inverse problem hydraulic property reservoir characterization vector regularization method finite element model reservoir geomechanics vertical displacement equation surface heave injection...

... (brine) is important as brine can dissolve a large amount of CO 2 . mineralization enhanced recovery fluid dynamics waterflooding reaction equation relative permeability saline aquifer storage co 2 aquifer storage process reservoir simulation nghiem artificial intelligence upstream...

... for the same recovery by steam, accounting for the SOR improvement. The oil rate increase is qualitatively explained by lower oil phase viscosities in the drainage zone. chromosome initial population artificial intelligence solvent retention economics enhanced recovery periodization sagd...

... modeling flow simulation heterogeneity estimation porosity facies core photograph reservoir characterization fluid dynamics artificial intelligence geological modeling mudstone realization effective permeability variation vertical permeability simulation PAPER 2009-102 Estimation...

... surrogate variables which can be measured with well logs to evaluate NP. Porosity φ is a very common choice; in the literature survey conducted by Worthington and Cosentino (2005), 23 of the 31 reports applied a porosity cutoff to evaluate NP. regression line artificial intelligence reservoir...

... artificial intelligence PAPER 2009-163 LiDAR Technology as a Means of Improving Geologic, Geophysical and Reservoir Engineering Evaluations: From Rocks to Realistic Fluid Flow Models M. ALFARHAN University of Texas at Dallas J. HUI DENG University of Calgary L.S. WHITE University of Texas at Dallas R...

... is the wetting phase. fluid dynamics upstream oil & gas interface science neumann sessile drop diameter artificial intelligence micro-ct scanner wettability quartz surface drop shape analysis oil sand adsa mpa colloid enhanced recovery contact angle axisymmetric drop shape analysis...

... observation data relative permeability fluid dynamics ensemble size production data relative root-mean-squared error endpoint upstream oil & gas reservoir simulation artificial intelligence relative permeability curve permeability state vector relative permeability vector PAPER 2009-052...

... simulation recovery southern dome artificial intelligence reservoir model modeling & simulation water cut PAPER 2009-022 Integrating Geological Characterization and Historical Production Analysis to Optimize Field Management of Lower Miocene Reservoir in White Tiger Field, Vietnam N.T.B. NGUYEN...

... in their extremely simplistic or complex nature that reduces their applicability. oil viscosity upstream oil & gas viscosity correlation under-saturated crude kartoatmodjo pvt measurement crude machine learning api gravity viscosity value viscosity average absolute error artificial...

... oil recovery production parameter wag injection scheme producer enhanced recovery macroscopic sweep efficiency production-injection parameter efficiency miscible method optimization problem hybrid technique injection rate sweep efficiency wag performance injection artificial...

... producers. artificial intelligence characteristic waterflooding souring injection squeeze treatment producer injector upstream oil & gas voordouw concentration conversion university enhanced recovery variation history experiment toluene reservoir simulation nitrate partition...

... position glass bead drainage rate complex reservoir flow in porous media hydraulic fracturing artificial intelligence fluid pair PAPER 2009-186 Experimental Study of Controlled Gravity Drainage in Fractured Porous Media S. ZENDEHBOUDI, O. MOHAMMADZADEH, I. CHATZIS University of Waterloo...

... artificial intelligence history porosity objective function gradient reservoir simulation algorithm reservoir model reservoir characterization optimization problem simplex method optimization method history data upstream oil & gas PAPER 2009-021 Global and Local History Matching...

... With development of the gas industry, gas pipeline networks have evolved over decades into very large and complex systems. gas network compressors engines and turbines discharge pressure artificial intelligence psig th annual meeting flow rate midstream oil & gas operation scheme consumption...

... & gas bit selection operational parameter rock strength value motor differential pressure mud flow rate pdm stator torque rotor average rop artificial intelligence drilling data drilling operation PETROLEUM SOCIETY PAPER 2008-132 Improved Drilling Efficiency Technique Using Integrated...

... means of addressing these complex processes. Artificial intelligence, and both fuzzy logic and neural networks in particular, can give the petroleum industry new tools for better understanding and controlling recovery processes and therefore achieving efficient and profitable oil recovery [1,2] . One...

... geology reference model multiple point statistics geologic modeling information growthsim artificial intelligence history flow history reservoir model hard data algorithm reservoir characterization histogram machine learning point statistics geological modeling template pattern...

... is applied to the specimen, both in radial and axial directions. A schematic of the permeameter used is shown in Fig. 3. objective function artificial intelligence experiment particle retention specimen mettananda 2005 enhanced recovery equation optimization problem fraction particle flow...

... analysis, and log analysis packstone reservoir characterization permeability neural network machine learning artificial intelligence dolomite indicator classification limestone better reservoir quality outlier upstream oil & gas facies prediction anhydrite facies classification...