... learning Project economics estimates of resource in place resource in place estimate variance threshold well distribution Artificial Intelligence Bayesian Inference risk tolerance probability development failure Upstream Oil & Gas well population Bayesian method development outcome type...

... 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...

... recovery. This article also reveals that some commonly hold beliefs may sound reasonable to infer production decline trend, but may not be true in a coupled reservoir system in reality. Artificial Intelligence shale gas Upstream Oil & Gas cumulative production fracture conductivity fracture...

... problem assessment risk management Upstream Oil & Gas concept changeover point percentile operator society of petroleum engineers asset and portfolio management gas monetization RRV simulator problem stage 1 exploration Artificial Intelligence LNG prospect application production...

... 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...

.... portfolio optimization investment approximation portfolio model planning & scheduling Commodity Price cash flow oil price asset and portfolio management Upstream Oil & Gas strength metric Artificial Intelligence planning process price adjustment Scenario integration Portfolio...

... and fracture optimization stage is reduced to finding the target function minimum in an N -dimensional parametric space using various constrained minimization techniques, including a Quasi-Monte Carlo analysis and the Active Set Method. Artificial Intelligence economic analysis guidelines hydraulic...

... the exhaustive analysis of the new legislation and characteristics of the contractual areas in the context of the current internal and external factors to forecast Mexico's oil production scenario. Upstream Oil & Gas complex reservoir Artificial Intelligence information bidding process round 1...

..., 2006 ) and described in the book "Fortune’s Formula" by Poundstone (2005) . decision support system Portfolio analysis Kelly method strategic planning and management portfolio optimization investment Artificial Intelligence Upstream Oil & Gas Cozzolino method formula optimum...

... and drilling in the US Eagle Ford shale. Artificial Intelligence shale gas oil shale shale oil Upstream Oil & Gas depletion constraint mineral rights market tightness assumption landowner leasing complex reservoir equilibrium exhaustion surplus lease negotiation physical depletion...

... a black-box method is instead a natural and automated extension of well-accepted techniques, and the few published studies of the technique suggest that it may be robust, particularly over the scale of years. Artificial Intelligence Bayesian Inference machine learning forecasting uncertainty...

..., the rise of the national oil companies in recent decades in terms of production and reserves control, has led to additional competition against service companies by international oil companies for providing specialized technical assistance. market analysis shale gas Energy Economics Artificial...

... Columbia and Alberta, Canada, is used to assess how accurately initial production predicts the expected ultimate recovery of a single well. strategic planning and management complex reservoir appraisal phase Artificial Intelligence payoff lognormal distribution unconventional resource economics...

... 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...

... decisions. asset and portfolio management Upstream Oil & Gas economic model Project economics awp production forecast Artificial Intelligence project valuation substantial reduction ibpp granularity execution integration planning process Alianza Casabe planning & scheduling...

... Pressure deconvolution deconvolution Artificial Intelligence drillstem/well testing normalization pressure transient analysis bottomhole Decline Model reservoir rate decline model matrix formulation regularization decline curve analysis equation Upstream Oil & Gas convolution integral...

... 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...

..., the implementation of our recommendations would require a majority of these companies to hedge significantly more volumes than those they have hedged in the past. supply and demand pricing Artificial Intelligence Devashish Method Ebitda producer equity value immunization market analysis Upstream Oil...

... opportunities. The result of this approach is optimal decision making and increased efficiencies in exploration business planning due to more thorough understanding and mitigation of key risks and uncertainties affecting the success of exploration opportunities. Artificial Intelligence Upstream Oil...

... 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...