Sentence examples for decline analyses from inspiring English sources
While traditional Arps's decline analyses are not suitable for super-tight or shale gas wells as these models are based on convention reservoirs that are mainly dominated by boundary dominated flow, then several empirical methods targeting tight or shale gas wells have been proposed.
Due to the influence of age on income (rising and falling) and health (declining), analyses were made on stratified age-groups, 25 44, 45 64 and 65 84 years of age.
Decline curve analyses are usually based on empirical Arps' equations: exponential, hyperbolic and harmonic decline.
Several decline curve analyses methods are developed for unconventional resources that may not be accurate for unconventional reservoirs due to complexities and uncertainties associated with the shale gas reservoirs compared to the conventional gas reservoirs.
Most conventional decline curve analyses are based on the classic works of Arps (1970) and Fetkovich (1980), which illustrate the analysis of well performance data using empirically derived exponential, harmonic and hyperbolic functions.
Lung function decline was analysed in a repeated measures model.
Risk of cognitive decline was analysed by a multivariate mixed model taking repeated values of the MMSE score during the 20 years of follow-up as the outcome.
As there is some evidence that early adolescent alcohol may be slightly declining, power analyses were repeated on the assumption that rates would be 40% by 2013.
In our study, GFI was significantly associated with functional decline in univariate analyses only.
The variables significantly associated with cognitive decline in univariate analyses were age, education, MMSE scores, treatment with any antihypertensive drugs, treatment with ACEIs or ARBs, and lnACR.
However, where diabetes is associated with a steeper late-life cognitive decline in prospective analyses, the role of pre-morbid ability is as yet unclear, particularly as its role in promoting late-life cognitive decline per se is uncertain.
