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8/18/2019 SPE 178888 Stuck Pipe Prevention
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SPE 178888Stuck Pipe Prediction Using Automated
Time Modeling and Data Analysis
Chuck Salminen, Curtis Cheatham, Mark Smith, Khaydar
Weatherford
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Stuck Pipe An !ld Pro"lem# $ut Still Rele%ant
• Project initiated in late 20!
• "rillin# records indicated that stuck $i$e %as one of the l
causes of lost time
• With this in mind, stuck $i$e $re&ention %as selected as
ser&ice to 'e de&elo$ed
SP( )**** • Stuck Pi$e Prediction +sin# eal-.ime Modelin# and "ata /na
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Stuck Pipe Mec&anisms
SP( )**** • Stuck Pi$e Prediction +sin# eal-.ime Modelin# and "ata /na
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Data 'riteria and Parameter Selection
• "etection mechanism should 'e 'ased on time-"ased d
• "etection should 'e $ossi'le durin# all common drillin# a• )0 or more of stuck $i$e incidents occur off-'ott
• "etection methods should utili1e commonly a&aila'le dri
• Success %ill 'e defined in t%o %ays• Successful detection of actual stuck $i$e e&ents %
%arnin# time• Minimi1ation of false alarms
SP( )**** • Stuck Pi$e Prediction +sin# eal-.ime Modelin# and "ata /na
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(istorical Data Analysis
• .hirty four 34!5 historical instances of stuck
$i$e %ere studied to determine root cause ofeach
• Primarily in (a#le 6ord Shale, +S/• Most common mechanism is hole $ackoff
due to %ell'ore insta'ility or insufficient hole
cleanin#• Study sho%ed that the 'eha&ior of 7critical
$arameters8 can relia'ly indicate im$endin#
stuck $i$e
SP( )**** • Stuck Pi$e Prediction +sin# eal-.ime Modelin# and "ata /na
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'ritical Parameters
SP( )**** • Stuck Pi$e Prediction +sin# eal-.ime Modelin# and "ata /na
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Detection Met&ods
SP( )**** • Stuck Pi$e Prediction +sin# eal-.ime Modelin# and "ata /na
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Dept&-$ased T&res&old Determination
SP( )**** • Stuck Pi$e Prediction +sin# eal-.ime Modelin# and "ata /na
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Alert 'riteria and )eig&ting
• 9nitial efforts used a 7$ass-fail8 criteria
• 9f de&iation : rate of chan#e is outside acce$ta'le #enerate an alert
• .his criteria is far too sim$listic since• 9t does not allo% that one $arameter may 'e out o
others are not, $ossi'ly indicatin# that no $ro'lem
• Si#nificant &iolations of acce$ta'le ran#e are not #%ei#ht than small &iolations• / %ei#htin# system needed to 'e de&elo$ed
SP( )**** • Stuck Pi$e Prediction +sin# eal-.ime Modelin# and "ata /na
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Dept&-$ased T&res&old Determination
SP( )**** • Stuck Pi$e Prediction +sin# eal-.ime Modelin# and "ata /na
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Adaption to Time-$ased Drilling So*t+are
•
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Adaption to Time-$ased Drilling So*t+are
SP( )**** • Stuck Pi$e Prediction +sin# eal-.ime Modelin# and "ata /na
?ri#inal de$th-
'ased threshold /ial s$ee
adjustmen9n$ut $arameter
adjustment
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'ase (istory 1 Stuck Pipe )&ile $ack Reaming !ut
SP( )**** • Stuck Pi$e Prediction +sin# eal-.ime Modelin# and "ata /na
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'ase (istory , ear Miss )&ile $ack Reaming e
SP( )**** • Stuck Pi$e Prediction +sin# eal-.ime Modelin# and "ata /na
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Summary# e.t Steps# and 'onclusions
• .he method %as found to 'e effecti&e in detectin# stuck
&ariety of %ell ty$es, ri# acti&ities, and @=/ confi#uration• 9n all cases %here calculated risk eceeded A0, a stuck
miss incident occurred %ithin the net 2 hours• 6uture de&elo$ment %ill focus on automatic root cause d
SP( )**** • Stuck Pi$e Prediction +sin# eal-.ime Modelin# and "ata /na
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