... quality decisions. risk management project valuation unconventional resource economics type well distribution pilot program Pilot Effectiveness Energy Economics asset and portfolio management complex reservoir reserves evaluation information type well lognormal distribution machine...

... of the spread and a field application. The study covers all decline models (exponential, hyperbolic and harmonic models) and both cases where the decline exponent is known and unknown. production control machine learning production monitoring reserves replacement Upstream Oil & Gas Artificial...

... and their influences on the price. market analysis relation supply and demand pricing supply and demand forecasting producer Energy Economics Artificial Intelligence speculation Market Trend oil supply global oil demand machine learning Upstream Oil & Gas simulation result production rate oil...

... decision trees, Bayesian networks and, more recently, Markov chains. Newly developed machine-learning techniques combine these two separate streams of uncertainty analysis into a framework that promises to address both the quantification and aggregation of uncertainty in an objective way. What seems like...

... Intelligence oil shale unconventional resource economics break-even price machine learning shale oil Upstream Oil & Gas Baker Hughes supply and demand pricing supply and demand forecasting complex reservoir oil company regression analysis service company exploration society of petroleum...

... information production data Energy Economics Bayesian Inference cumulative production Montney formation ultimate recovery machine learning reliability appraisal strategy lognormally appraisal well reservoir Upstream Oil & Gas production period mean eur appraisal programme probability...

... variability producer complex reservoir information production function productivity machine learning Upstream Oil & Gas ikonnikova recovery shale gas play economic analysis algorithm geology equation fluid usage heterogeneity Artificial Intelligence regression completion coefficient...

... application of our method using field examples from four major shale plays. hydraulic fracturing deviation Artificial Intelligence pressure data machine learning Upstream Oil & Gas detection outlier detection method assumption pressure transient analysis pressure transient testing...

... & Gas value assessment portfolio optimization constraint optimized exploration planning dependency machine learning Portfolio analysis cash flow prospect hydrocarbon Exploration Opportunity exploration portfolio asset and portfolio management portfolio assessment evaluation exploration...

... the P50. Through such quantitative evaluations of all the realizations, geologists and reservoir engineers can select optimistic to pessimistic realizations to aid economic assessment of the reservoir. machine learning Upstream Oil & Gas Artificial Intelligence neighborhood information...

... interference performance variation Energy Economics asset and portfolio management unconventional resource economics reliable technology reliable technology paradigm estimation machine learning shale gas reserves evaluation resource estimation USA reserves replacement Upstream Oil & Gas...

... market condition machine learning reserves evaluation feasibility extraction classification system Artificial Intelligence Framework Classification foreseeable future fossil energy quantity mining operation Market Condition deposit development project Upstream Oil & Gas Viability...

... regarding the U.S. energy policy. Artificial Intelligence Volatility machine learning Upstream Oil & Gas pricing pricing structure US government gas production artificial neural network export spe hydrocarbon economics natural gas market neural network framework natural production...

... and a methodology to anticipate risk analysis of Brazilian oil fields projects based on VaR and AVaR measures. The work is divided into five sections: introduction, stochastic processes and copula theories, integration methodology, applications, results and conclusions. economic evaluation machine learning...

... Reservoir Characterization Upstream Oil & Gas porosity geologic modeling Artificial Intelligence information oil production forecast geological modeling Modeling & Simulation Sgsim Sisim machine learning reservoir simulation different geological model realization...

... the future prospects for the field. Artificial Intelligence Energy Economics Upstream Oil & Gas machine learning log reserve mean reserve complex reservoir information assumption probability pilot well decision analytic unconventional reservoir society of petroleum engineers haskett...

... for the economic project decision-making, the Net Present Value. Artificial Intelligence project valuation operational cost asset and portfolio management Upstream Oil & Gas cash flow input variable price trajectory machine learning Project economics investment PECE module forecast economic...

... machine learning Drillstem Testing drillstem/well testing test well perfect information Decision Entropy Theory society of petroleum engineers Bayesian Inference Upstream Oil & Gas small return-on-investment ratio information probability distribution unconventional play risk management...

... ranking prospects. enhanced recovery Upstream Oil & Gas machine learning SAGD Reservoir Characterization steam-assisted gravity drainage reservoir performance plateau period prediction SOR input data steam-oil ratio performance data porosity coefficient thermal method Artificial...

... forecasts are both realistic and achievable. modeling & simulation lateral length simulation model artificial intelligence constraint efficiency focus decision concept selection decision machine learning upstream oil & gas decision framework fracture face damage fracture stage...