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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