... Abstract CO2 Huff and Puff provides dual benefit of sequestration and enhanced oil recovery in unconventional oil fields. We present a novel hybrid model optimization workflow for huff-n-puff operations. The resulting high-dimensional optimization problem with 5n+2 (for ‘n’ huff-n-puff stages...

... learning exhibition urtec artificial intelligence geological subdiscipline paper morphology geologist fracturing fluid optimization problem reservoir geomechanics fracture geometry texas operator real-time optimization completion effectiveness depletion URTeC: 4044071 The Perfect Frac...

... geomechanics geological subdiscipline optimization problem fracturing materials npv dpi permeability spe hydraulic fracturing technology conference pearson development optimization hydraulic fracturing technology conference depletion frac injection drillstem testing artificial intelligence dsu...

... petroleum geology economic geology reservoir geomechanics thermal method complex reservoir fluid dynamics flow in porous media optimization problem artificial intelligence geological subdiscipline machine learning vector injection npv co 2 conference constraint gradient simulation...

... practical insights for future EOR applications with CO2 sequestration options. clastic rock sedimentary rock reservoir optimization problem artificial intelligence geological subdiscipline geologist complex reservoir flow in porous media evolutionary algorithm permeability fluid dynamics...

... a hands-on experience of this new technique and to analyze and optimize the NPV of unconventional wells. sedimentary rock geologist drillstem/well testing pressure transient testing geology rock type optimization problem complex reservoir shale gas clastic rock drillstem testing...

.... drillstem testing inflow performance optimization problem reservoir simulation modeling & simulation constraint coupling artificial intelligence urtec rgnet separator drillstem/well testing asset and portfolio management node equation proceedings implicit coupling example 3 well...

... %, Well#4 19.67%. drilling operation artificial intelligence rop accuracy rop prediction neural network evolutionary algorithm urtec correlation coefficient xgboost algorithm real time system random forest algorithm visualization rop optimization optimization problem machine...

... machine-learning-based gas lift optimization workflow gas lift machine learning compressor week constraint optimization problem workflow ml forecaster pipeline URTeC: 4033553 A Machine-Learning-Based Gas Lift Optimization Workflow for Unconventional Fields Sha(Sasha) Miao*1, Alexandra...

... precedent for future AI-based technologies in the industry, highlighting its transformative potential in advancing both efficiency and sustainability of oil and gas operations. artificial intelligence real time system wellsite optimization problem artificial lift system operation machine...

... of the propped number, penetration ratio, drainage aspect ratio and the analysis time, UFDopt,inst = f (t, N prop ) (22) URTeC 3853784 10 In the mathematical context, the fixed propped number provides a nonlinear constraint condition in the optimization process. The UFD optimization problem can be formulated...

... relying on cost-prohibitive field diagnostics. These methods provide operators with the tools necessary to tackle the rapidly growing energy crisis in a capital-constrained market environment. clastic rock geologist upstream oil & gas sedimentary rock geology optimization problem shale...

... geologist geology production enhancement united states government reservoir simulation well intervention upstream oil & gas drilling operation optimization problem artificial intelligence production control hydraulic fracturing reservoir surveillance reservoir characterization...

... oil & gas geosteering optimization problem stratigraphy energy economics intervention geosteerer unconventional resource economics united states government complex reservoir artificial intelligence geological subdiscipline dataset basin unconventional resource technology conference...

... decision-making. energy economics optimization problem artificial intelligence complex reservoir shale oil oil shale forecasting upstream oil & gas unconventional resource economics shale gas pvt measurement cumulative gor inflection point procedure gor formulation drainage...

... surveillance optimization problem pressure transient testing production control fluid dynamics artificial intelligence observation well hydraulic fracturing gauge reservoir simulation unconventional resource technology conference drillstem/well testing hfts-2 project history matching bone spring...

.../geometries of multi-wells in a well pad setting, providing valuable suggestions for well spacing optimizations. modeling & simulation artificial intelligence optimization problem hydraulic fracturing reservoir simulation drilling operation upstream oil & gas variance-covariance matrix...

..., which may serve as a particularly useful supplement to existing tools for unconventional development, such as decline curve analysis and reservoir simulation. fracturing materials machine learning artificial intelligence optimization problem upstream oil & gas hydraulic fracturing...

... the technically recoverable oil. optimization problem machine learning upstream oil & gas artificial intelligence information geological property workflow cumulative rate urtec 5441 global model model performance procedure complex reservoir well performance response variable algorithm...

... simulation uncertainty parameter pad problem iteration history fracture half-length reservoir simulation fracture azimuth urtec 2719 decision parameter optimization problem upstream oil & gas fracture conductivity klie physai model scenario knowledge configuration production profile...