... artificial intelligence reservoir characterization equation of state saturation modeling & simulation chemical flooding methods climate change permeability compositional simulator porosity heterogeneity saline aquifer flow in porous media enhanced recovery geological subdiscipline plume...

... emission geologist structural geology gas injection method machine learning modeling & simulation scenario geological subdiscipline mechanism case study saturation enhanced oil recovery artificial intelligence injection reservoir dindoruk enhanced recovery injector encroachment...

... mineral sandstone depositional environment permeability composition structural geology rock type enhanced recovery geological subdiscipline porosity inefficiency sedimentology artificial intelligence reservoir characterization ampomah characteristic sedimentary rock waterflooding...

... forecasts in waterflooding scenarios. optimization problem producer deep learning enhanced recovery production monitoring error constraint absolute error injector reservoir surveillance machine learning relative error waterflooding artificial intelligence production control absolute...

... shortly after polymer injection, indicate that the polymer injection is improving conformance and not allowing water to flow through pre-existing fingers, thus making the field a good example to simulate. fluid dynamics flow in porous media geology petroleum engineer artificial intelligence...

... unrealistic brine compositions from the design-of-experiment stage. The proposed viscosity model demonstrated significantly improved prediction performances and/or workflow compared to the existing models. enhanced recovery polymer geology chemical flooding methods artificial intelligence machine...

... identification continuous improvement standard operating procedure successful optimization acceleration project artificial intelligence optimization field visual management sultanate Introduction The "A" fields are situated in the southern Sultanate of Oman, representing one of the most...

... conditions, which is key to achieving maximum recovery during chemical EOR. enhanced recovery microemulsion viscosity artificial intelligence prediction viscosity concentration salinity rmse dataset percolation threshold learner surfactant concentration equation of state machine learning...

... to be a starting point for the development of novel machine-learning algorithms for interpreting tracer tests in reservoirs. geologist deep learning neural network concentration tracer test analysis enhanced recovery artificial intelligence geology residual oil saturation machine learning...

... simulated core temperature gas injection method artificial intelligence flammable pseudo-component fraction thermocouple complex reservoir modeling & simulation experiment oxygen asphaltene geology reaction heavy oil play combustion concentration air injection university residue...

... spatially, continuously, and physically according to dynamic saturation history facilitating a faster and more accurate simulation. sedimentary rock permeability geologist rock type artificial intelligence petrology machine learning co 2 geology petrography saturation fluid dynamics flow...

.... geologist sedimentary rock clastic rock geology streamline simulation geological subdiscipline utilization reservoir simulation enhanced recovery injection producer management geometrical allocation waterflooding artificial intelligence injector allocation injection efficiency figure 14...

... of conventional CO 2 EOR flooding. Oil field anticlines provide excellent candidates for CCUS projects. structural geology sedimentary rock subsurface storage modeling & simulation waterflooding artificial intelligence chemical flooding methods co 2 machine learning reservoir characterization...

... recovery storage geology modeling & simulation evolutionary algorithm constraint reservoir simulation artificial intelligence injection development strategy relative permeability curve production injector machine learning pressure permeability optimization stored sensitivity do...

... in this work has the advantage that could be applied to any component described by an equation of state. The results of the phase-identification algorithm are shown, demonstrating its usability for compositional thermal reservoir simulation. steam-assisted gravity drainage artificial intelligence...

.... carbonate rock mineral carbonate reservoir complex reservoir sedimentary rock dataset rock type geologist machine learning information mohanty application geology artificial intelligence permeability divalent concentration hca enhanced recovery algorithm variance salinity surfactant...

... of sweep efficiency, hydrocarbon recovery, and polymer utilization. waterflooding geologist realization geology artificial intelligence chemical flooding methods efficiency geological realization reservoir surveillance allocation optimization production control injector conference...

... to accelerate decision making, especially in mature reservoirs where history matching is not available. waterflooding machine learning producer reservoir gas injection method injector inter-well connectivity crm data-driven approach optimize wag injection artificial intelligence connectivity...

... problem reservoir surveillance chemical flooding methods climate change application neural network journal ast-graphtran prediction coefficient artificial intelligence production monitoring machine learning constraint information sequestration objective equation Introduction...

... polymer concentration pvee carbonate rock artificial intelligence polymer mmp surfactant pfa dilute concentration reduction pdm dissolution solubility Introduction Injection of carbon dioxide (CO 2 ) is an enhanced oil recovery (EOR) method, which is widely applied globally. Wide...