... gas storage h2s management materials and corrosion machine learning reassessment interval corrosion management riser corrosion production chemistry corrosion rate flowline corrosion metal loss corrosion rate distribution defect artificial intelligence gas storage average corrosion rate...

... for most engineers. carbonate rock neural network carbonate reservoir decision tree learning sedimentary rock geology complex reservoir surfactant treatment oil recovery artificial intelligence machine learning enhanced recovery incremental oil recovery geologist waterflooding rock...

... coefficient rock type core analysis classification geology flow in porous media reservoir characterization oil recovery efficiency characteristic oil recovery potential information pore throat variation geologist waterflooding artificial intelligence machine learning throat radius sweep...

... geologist flow in porous media reservoir characterization artificial intelligence deep saline aquifer wag process efficiency subsurface storage modeling & simulation co 2 mobile phase co 2 injection process machine learning accuracy sequestration mechanism permeability dissolution...

... dimensionality rock type reservoir geomechanics response 2 autoencoder land surface movement magnitude subsurface storage enhanced recovery injection rate injection horizon latent vector response 1 artificial intelligence geological subdiscipline young land uplift storage formation...

... center emission sustainable development baseyear assumption refrigerant emission source artificial intelligence california co 2 carb carbon storage decal version carb proposed scenario Introduction California is the largest state in the United States by population and is poised...

... by 89% and cost by 88%. Shekhawat et al. (2022) applied artificial-intelligence (AI) and ML techniques to well data to recommend top well intervention candidates. The challenge is no longer exclusively dictated by a shortage of data or data analysis techniques. Today's challenge exists somewhere...

... time-consuming experiments. sedimentary rock geology geologist water flooding waterflooding enhanced recovery concentration rock type contact angle wettability carbonate rock artificial intelligence machine learning smart water flooding carbonate reservoir wettability alteration...

... that the solution proposed is the first to detect methane leaks at this low level. This solution can equip operators with real-time data on asset integrity and provides scalability and remote sensing. geologist artificial intelligence internet of things machine learning methane emission canopy geology...

... sustainability artificial intelligence climate change carbon emission operation data mining emission infrastructure automation hardware carbon footprint big data sustainable development consumption digital decarbonization usage social responsibility cloud computing efficiency...

... learning geothermal reservoir california operation heat source deep learning artificial intelligence geothermal energy proceedings enhanced geothermal system sgp-tr-224 energy utilization workshop geothermal field fracture emission application efficiency indonesia Introduction...

... the model's generalization capability. Introduction waterflooding geologist neural network simulator oil production machine learning geology artificial intelligence pinn model voronoi-diagram model numerical simulator water injection rate optimization result cumulative oil production...

... rock type neural network artificial intelligence clastic rock mineral reservoir characterization segmentation dataset training data pore space quartz cl image validation accuracy scanning electron microscope sedimentary geothermal reservoir machine learning tectosilicate sem image...

... geologist rock feature finite element method elastic property electrical property segmentation resistivity generative adversarial network rock image molecular dynamic reservoir simulation artificial intelligence geological subdiscipline estimation zhang modeling representation prediction...

... drilling data acquisition probability drilling measurement information artificial intelligence machine learning telemetry data failure modeling hyperparameter important feature feature selection neural network architecture drilling operation data mining mwd electronic component data-driven...

... data egypt geology artificial intelligence thickness permeability western desert formation damage net pay thickness predict total skin factor Data Preprocessing In the quest for efficient hydrocarbon extraction, the skin factor emerges as a pivotal parameter ( Ozkan 2003 ; Yildiz 2006...

... artificial intelligence deep learning production logging gas lift reservoir surveillance production monitoring artificial lift system machine learning prediction neural network choke correlation continuous well flow rate estimation production control correlation production flow...

... learning data mining maintenance team discharge pressure operation maintenance phm model flow rate cement slurry oilfield cement pumper regression line radiator artificial intelligence threshold cooling rate condition-based maintenance alert time series data deviation outlier...

... artificial intelligence geology geologist machine learning regression prediction algorithm rmse fluid code random forest algorithm distance function linear regression multi-output regression casing opportunity analysis forest algorithm petroleum engineer correlation coefficient...

... with lower energy costs in more than 70% of the cases. The paper presents an evaluation of the RL method for CO 2 capture process optimizations in digital transforming and implementing artificial intelligence (AI) in oil and gas industries. sustainability air emission subsurface storage social...