Technology Roadmap for Petroleum Analysis
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This technology roadmap outlines the forecasting of petroleum supply and demand trends, comprising three main stages: problem definition, the forecasting process, and strategic recommendations. The problem definition stage establishes the bidirectional linkage between production and demand forecasts. The core forecasting process employs a parallel approach using the Generalized Weng Model and the Hubbert Model; both models fit historical data through multi-cycle designs—determining the optimal number of cycles via F-tests—and utilize the nonlinear GRG algorithm for processing. Finally, based on error validation, analyses of external dependency and supply-demand gaps are conducted to derive strategic recommendations regarding the overall petroleum supply and demand landscape.
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F-test multi-cycle generalized Weng's model
Multi-cycle design: fitting historical data
F-test: Determine the optimal number of cycles
Analysis of external dependence
nonlinear GRG algorithm
production forecast
countermeasures and suggestions
Supply and demand gap analysis
error test
F-test multi-cycle Hubbert model
generalized Weng's model
Unary linear fitting: Determining total consumption capacity
prediction process
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Hubbert model
demand forecast
Oil supply and demand trend forecast
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