... global mean with a known probability. There is no cumbersome pre- or post-processing. The only things that are needed to characterize the linear distribution are the original distribution of the data, the standard deviation of the global mean (which can be calculated by using bootstrap, spatial bootstrap...

....: cash flow machine learning project economics variance correlation npv price-cost correlation standard deviation probability project valuation oil price autocorrelation function volatility empirical evidence coefficient asset and portfolio management upstream oil & gas monte carlo...

... artificial intelligence inclination liquid superficial velocity multiphase flow standard deviation correlation coefficient production logging correlation prediction phd dissertation machine learning two-phase flow brill production control neural network model mukherjee liquid...

... reservoir characterization oil production enhanced recovery standard deviation risk factor asset and portfolio management upstream oil & gas sample size perct gas production date gas production rate-time plot median horizontal cumulative oil production waterflooding initial...

... accurate description of any m and n data. The first task is to examine the statistical implication of taking m=2 and n=2 as the default sample mean visvis the calculated true mean of the sample. The standard deviation (S.D) and standard error of the mean (S.E.M) are defined as: 1 = NDS xx (8) N MES...

... were compiled in Microsoft Excel. The results were then compared to the known remaining recoverable reserves for each field\zone. The percentage difference was calculated between the forecasted and actual remaining reserves for each dataset on a BOE basis. The standard deviation was calculated...

... between the AOF predicted using multi-point deliverability test analysis methods and the dimensionless IPR curve method for the twenty-five Canadian wells was 9.2 %, with a standard deviation of 8.7 %. The absolute value of error between the AOF predicted using multipoint deliverability test analysis...