... and easy to maintain, capable of being used during field production operations enhancement analysis, and applicable to wells operating with PCPs as artificial lift in heavy oil conditions, using regression and analytical methods. Both methods are being used part of a digital oilfield solution implemented...

... that affect the oil recovery and net present value of the field development. A Folded Plackett-Burman design was prepared to screen the initial nine variables; the linear regression results show that the oil water contact, permeability anisotropy and net to gross are the significant variables. Also...

... Characterization machine learning Artificial Intelligence calculation rock type model Upstream Oil & Gas alternative workflow petrofacies PHIE society of petroleum engineers regression variation porosity resistivity curve permeability rock type resistivity log well logging Teak Field water...

... and portfolio management regression reserves evaluation well count deviation linest proxy function development plan starfish field upstream oil & gas performer logest proxy function optimum number reservoir characterization reservoir simulation resource in place estimate summarize normalized...

...Oil/Gas Well Designation. It is possible that the incidence of blowouts may depend on whether the well is targeted primarily at oil or gas, so it is desired to control for this possibility. Well type data is taken from RRC databases. Because the regressions specify annual data where individual...

... permeability artificial intelligence upstream oil & gas reservoir well logging capillary pressure curve water saturation saturation saturation height function coefficient exponent resistivity core data regression log analysis Introduction Oil production in the bp Trinidad and Tobago...