... Abstract Closed Loop Reservoir Management (CLRM) aims to automate the classic reservoir management process by means of using artificial intelligence, control theory and optimization workflows. One of the tasks performed during a CLRM is the optimization process which deals with defining...

... learning complex reservoir Drillstem Testing median estimation error regularization method triple porosity-dual permeability model Artificial Intelligence Upstream Oil & Gas objective function drillstem/well testing information Optimization Method derivative curve double-porosity model...

... permeability ratio Artificial Intelligence injection pressure residual resistance coefficient strength slug high permeability zone permeability zone permeability Introduction There are several heavy oil reservoir, distributed in Lihe oilfield, Shengli oilfield, etc. Steam stimulation and steam...

... water saturation of the reservoir. machine learning Fluid Dynamics Upstream Oil & Gas flow in porous media Artificial Intelligence quantification hydrocarbon reserve Swinit capillary pressure equation calculation transition zone saturation initial water saturation irreducible...

... ratio control device enhanced recovery gohari 2015 viscosity sweep efficiency injection outflux workflow optimization problem Efficiency pressure drop icd Artificial Intelligence polymer completion polymer flooding reservoir control strategy degradation FCD society of petroleum...

... Fluid Dynamics variation geometry wettability non-wetting phase interfacial tension flow in porous media Artificial Intelligence Simulation IFT contact angle viscosity gravity residual non-wetting phase displacement efficiency imbibition process society of petroleum engineers Scenario...

... and newly developed analytical solutions are simple and efficient to quickly obtain the temperature profiles in heavy oil reservoirs during SAGD process. thermal method Artificial Intelligence steam-assisted gravity drainage SAGD Laplace transformation injection fluid mathematical model fluid...

.... enhanced recovery Upstream Oil & Gas optimization Culebra Modeling & Simulation information cumulative oil recovery factor horizontal well Artificial Intelligence directional well dynamic model initialization Yulebra reservoir simulation reservoir pressure History Match evaluation...

... – Completion design for optimal production The authors conclude that heavy oil reserve recovery enabled through horizontal wells drilling and completion program. The implementation of the best practices in operation is the key to drain the heavy oil effectively and optimally. Artificial Intelligence...

... methods microemulsion phase Utchem experiment sensitivity analysis Upstream Oil & Gas mechanism prediction injection Artificial Intelligence polymer viscosity flooding permeability asp flooding capillary number Modeling & Simulation concentration pressure drop surfactant Oil...

... throat for a range of saturations of mercury from 10% to 75%, as presented then: Modeling & Simulation classification enhanced recovery Upstream Oil & Gas porosity critical water saturation Artificial Intelligence Fluid Dynamics pore throat radius core analysis flow in porous...

... was the oil viscosity, which varies over a wide range in heavy oil reservoirs and influences the energy requirements. thermal method SAGD Modeling & Simulation enhanced recovery Artificial Intelligence heat management heavy oil reservoir heat management model energy requirement...

.... Fundamentals enhanced recovery Upstream Oil & Gas optimization problem conjecture stb day Artificial Intelligence lower lagunillas-03 reservoir hypothetico-deductive method injection well waterflooding exploitation scenario Injection Rate reservoir inverted five-spot pattern asset value...

... a pilot program, increasing the national production. Artificial Intelligence complex reservoir enhanced recovery SAGD oil sand Modeling & Simulation heavy oil field thermal recovery steam chamber screening criteria thermal method bitumen steam-assisted gravity drainage oil...

... well pair. thermal method optimization problem oil production operation pressure profile Artificial Intelligence Upstream Oil & Gas SAGD operation FCD discharge coefficient total number SAGD fcd property port cumulative oil production sensitivity analysis scab liner Scenario...

... recovery SAGD Modeling & Simulation Artificial Intelligence steam-assisted gravity drainage Efficiency steam chamber SAGD performance well configuration Upstream Oil & Gas viscosity heavy oil reservoir sensitivity analysis gravity drainage water saturation saturation scenario...

... optimization. machine learning thermal method oil sand Artificial Intelligence steam-assisted gravity drainage information relative permeability production rate oil production rate bitumen Upstream Oil & Gas oil production SAGD reservoir performance viscosity operation monitoring...

... experience and illustrated with actual field cases. This should allow operators to benefit from a better understanding of the challenges and potential of polymer flooding of heavy oil and open the door for more projects. chemical flooding methods Artificial Intelligence Upstream Oil & Gas...

... preferential routes for the advancement of water. pressure transient testing Drillstem Testing compressibility vug pressure transient analysis Upstream Oil & Gas partial penetration porosity fractured vuggy reservoir characterization nfvr well log fracture Artificial Intelligence...