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In 1956, Hubbert confined his peak oil prediction to that crude oil "producible by methods now in use." [13] By 1962, however, his analyses included future improvements in exploration and production. [14] All of Hubbert's analyses of peak oil specifically excluded oil manufactured from oil shale or mined from oil sands. A 2013 study predicting ...
The standard Hubbert curve.For applications, the x and y scales are replaced by time and production scales. U.S. Oil Production and Imports 1910 to 2012. In 1956, Hubbert proposed that fossil fuel production in a given region over time would follow a roughly bell-shaped curve without giving a precise formula; he later used the Hubbert curve, the derivative of the logistic curve, [6] [7] for ...
Crude oil production has since risen sharply from 2009 through 2014, so the rate of US oil production in October 2014 was 81% higher than the average rate in 2008. [ 12 ] The actual U.S. production curve deviates from Hubbert's 1956 curve in significant ways:
Time series analysis comprises methods for analyzing time series data in order to extract meaningful statistics and other characteristics of the data. Time series forecasting is the use of a model to predict future values based on previously observed values.
Production decline curve analysis is important in determining the value in oil and gas wells in oil and gas economics. Decline curves are the most common means of forecasting oil and gas production. Decline curves have many advantages: they use data which is easy to obtain, they are easy to plot, they yield results on a time basis, and they are ...
In time series analysis, a fan chart is a chart that joins a simple line chart for observed past data, by showing ranges for possible values of future data together with a line showing a central estimate or most likely value for the future outcomes. As predictions become increasingly uncertain the further into the future one goes, these ...
Load forecasting (electric load forecasting, electric demand forecasting). Although "load" is an ambiguous term, in load forecasting the "load" usually means demand (in kW) or energy (in kWh) and since the magnitude of power and energy is the same for hourly data, usually no distinction is made between demand and energy. [16]
Demand sensing is a forecasting method that uses artificial intelligence and real-time data capture to create a forecast of demand based on the current realities of the supply chain. [ 1 ] [ 2 ] Traditionally, forecasting accuracy was based on time series techniques which create a forecast based on prior sales history and draws on several years ...