Ttis PaW was selec!ea f., PrEse"la!ion by a" SPE P[ogmnl CVmmiUe@ following review 01 tn{onmtio" con!.ained 1" m abstract s"bminmi by Ihe aulhw(s). COn!e"!S of the m,%,, as presented, have not been r@wed @ w Society of Petroleum E.g(neers and are subJect.to .wmectlon by me wthw(,]. The rna!er,d, as prwe.ted, does noi pcesswily ref)acl my Fowon of the Socie$y of Petroleum En@ers, {% olflcars, m members, PWW8 pmemed at SPE meetings am s.biec! to wblicallo. wiEw by Ed(kxbal Committee% 01 me .Sadety of Petroleum Engineers. Pmliss!mto copy is restricted 10 an ab,tracl of ,0! mme than 3C+I.+, Illustrations may "01 be CCQled, The ,bsl'ad should ca"l.." CO"@CUO"S .Wk"owl.dgmen! of where and by whom the paper is presented.
AbstractOptimum drilling conditions have to date been determined using either trial and error at the rigsife or by repetitive and time consuming calculations, generally involving a number of different PC based programs. Calculating optimum drilling fluid flowrate conditions to ensiure the highest possible penetration rate for example, involves manipulating variables such as drillstring configuration, nozzle diameters and 'rnud propeflies to satisfy constraints such as the ability to clean the hole, bit specific en"ergy, system pressure distribution and rig capability. This optimization" process is ideally suited to automation, however, the number of variables and constraints on the problem requires careful design of the user interface.