Novel method for estimation of gas/oil relative permeabilities

摘要: Abstract As the ages of most oil fields fall in second half their lives, many attempts have been made to enhance recovery an efficient way. Gas injection into reservoirs for enhanced (EOR) purposes requires relative permeability as a crucial issue reservoir engineering. In this study, new method is applied predict permeabilities gas/oil system related various rock and fluid types. For reason, soft computing technique - multi-gene genetic programming (MGGP) employed develop tools prediction permeability. The methods are evaluated by experimental data extracted from open literature validated extensive error analysis. generated smart mathematical equations able with high accuracy applicable types well. contrary other reported correlations, novel require API gas molecular weight extra input variables improve estimating ability every type fluid. proposed promising encouraging petroleum engineers be implemented petro-physical properties.