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World Conference on Quality and Improvement
              May 21-23, 2012
             Anaheim, California

              Case Studies In
      Continuous Quality Improvement
            Gordon Masiuk, President
          Masiuk Consulting Services Ltd.
         www.business-performance-excellence.ca
Implementing Quality Improvement
• What has worked well in your organization?
• What are some of your challenges?
• I wish I could….




                                MCS
“If you think you can, or, if you think
              you can’t, you’re right!”

                             Henry Ford




                            MCS
Presentation Overview

• Case Study 1: Reducing Downtime and Improving
  Production in an Oil Field Operation

• Case Study 2: Plant Maintenance Initiative to
  Reduce Downtime and Improve Production in the
  First Half Hour of Start-Up

• Case Study 3: Reducing Corporate Wide Rig
  Release to On-Stream Cycle Time and Increasing
  Production and Cash Flow For an Oil & Gas
  Operation

                                    MCS
Focus of the Presentation
•   What Was Needed to get the Initiative Started?
•   How The Initiative was Identified
•   Improvement Methodology Used
•   Quality Management Analytical Tools Used
•   Implementing and Measuring the Improvements
•   Bottom Line Impacts

• During the case studies ask yourself how you
  might be able to apply the quality concepts, tools
  and measurements in your organization!


                                      MCS
Improving Production and Reducing
 Downtime in an Oil Field Operation
           Case Study 1




                           MCS
What Was Needed to get the Initiative Started?
• This initiative was part of an overall Continuous Quality
  Improvement (CQI) pilot process – acquired sponsorship of
  executive and senior management
• Focus was to generate bottom line results: improving
  production, reducing costs, eliminating waste and downtime
• “Engagement and commitment” of the production supervisor
  and his operators vs. their “compliance”
• Formal and just-in-time training and coaching of supervisors,
  operators, engineers and others in practical application of CQI
  tools and methods, teamwork and leadership effectiveness was
  critical
• Full time on-site consultant to guide the initiative
• “Diplomatic Immunity” to allow the area to challenge the status
  quo


                                               MCS
Key Opportunities
• Operations supervisor wanted to involve his
  teams in the improvement of production and
  reduction of downtime. This would be the first
  exposure of the operations crews to a Continuous
  Improvement initiative.
• Operations supervisor was very open to learning
  and applying performance management and
  continuous improvement techniques. His
  engagement and leadership was critical to
  success.


                                    MCS
Continuous Improvement Approach
• Plan-Do-Check-Act continuous
  improvement model

                    Plan



                  Continuous
           Act   Improvement   Do
                    Model



                    Check




                                    MCS
Continuous Improvement Approach
• Used the Plan-Do-Check-Act (PDCA) approach to
  design and implement the improvement.
• Started the process by conducting operations/
  engineering team brainstorming sessions to understand
  their operational issues.
• Identified potential improvement opportunities focused
  on reducing downtime or improving production (including
  the “vice on the back of the truck”).
• Reviewed one year of production accounting data to
  identify specific causes of downtime and lost production
  (Pareto Analysis) and to establish a baseline of
  performance.
• Engaged operations staff and other disciplines in
  problem solving exercises (Root Cause analysis).
• Further fine tuned the accounting data, identified primary
  improvement opportunity.
                                            MCS
“The best way to get a good idea, is to
                    get a lot of ideas”

                               Linus Pauling
                      Nobel Winning Chemist




                               MCS
Vital Few (Top 20%)

Downtime                      Shortage/Lost Production
Top 12/57 Vital Few           Top 12/56 Vital Few
Reason                Hours   Reason                     Barrels
Quota Produced        12900   Quota Produced             20337
BH Pump Failure        5330   BH Pump Failure            15848
Pumped Off             2900   Turnaround                 10502
Engine Failure         2809   Recover Load Oil            4189
SI (Flared Gas)        2374   Pumped Off                  3310
Recover Load Oil       2326   Engine Failure              3069
Turnaround             1982   Pump Change                 2656
Line Break             1821   WCT Request                 2336
Road Conditions        1080   Line Break                  2142
Pump Change            1043   SI (Flared Gas)             2045
WCT Request            1032   Rods Parted                 1384
Shut In                 864   Gear Box                    1054




                                                 MCS
Barrels of Oil

                                                                                                                                                   Q




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      of downtime
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                                                                                            Reasons for Lost Production/Shortage




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                                                                                                                                                                                                                                             1 Year Baseline Lost Production/Shortage - Pareto Chart




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      BHP failures accounted for 20.1% of annual lost production out of the 56 categories




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                                                                                                                                                                                                                                                                                                       Production Accounting Pareto Analysis




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Hours of Downtime

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      categories, about 222 - 24 hour days
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                                                                             Reason for Downtime


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                                                                                                                                                                                                                   1 Year Baseline Downtime Hours - Pareto Chart




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      BHP Failures accounted for 11.7% of the total downtime out of the 57




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                                                                                                                                                                                                                                                                   Production Accounting Pareto Analysis




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Pump Jack




Oil Producing Formation
 Depth: 1300 – 1500 meters
 (4200 – 4900 feet)
                             Bottom Hole Pump
                                            MCS
Bottom Hole Pump Failure – Root Cause Analysis
                  Methods
                  Methods                                           Operators

                                                                                Operators don ’t know optimum production level
                                 Wrong start up/shut down
                                                                                                  Inadequate orientation/on -the job training

                                   Wrong strokes/minute                                                  Engineers provide inaccurate data

                                                     Poor Training                       Equipment at wrong speed/temp
        Improper     Improper              “Wait till it breaks ”                                        Inadequate orientation/on -the job training
        Dewaxers     Chemicals
                                                                                                                  Engineers provide inaccurate data
                     Poor                     Inadequate maintenance
       Poor
       Training      Training                                                                    Different Shifts operate differently
                                                   Lack of Procedure         Budget cuts
                                                                                                               Lack of Procedure
Materials                                                                                                                               Bottom Hole
                                                                                                                                        Pump Failures
                     Failures in specific wells
                                                      Temperature
                                                                                        Seats/balls failures
                            Formation
                                                                                     Pump specs not to acid level
                                                  Pressure
                                                                                   Rod impacts damage pump
     Plugs Pump                                                                                             Rod Stretch
              Corrosion

                                                                          Low cost/low quality pumps
                                                                                                                Inadequate pump for application

                     Environment                             Machines


                                                                                                                    MCS
Bottom Hole Pump Failure – Root Cause Analysis
                  Methods                                            Operators

                                                                              Operators don’t know optimum production level
                                  Wrong start up/shut down                     Op                  Inadequate orientation/on-the job training
                                                                                  era
                                                                                      tors
                                                                                           not
                                    Wrong strokes/minute                                       full           Engineers provide inaccurate data
                                                                                                    y tr
                                                                                                         ain
                                                                                                             ed
                                                      Poor Training
                                                                                        Equipment at wrong speed/temp
                                                                                         Op                      Inadequate orientation/on-the job training
        Improper Improper                    “Wait till it breaks”                          era
                                                                                                tors
        Dewaxers Chemicals                                                                             not
                                                                                                             full           Engineers provide inaccurate data
                                                                                                                  y tr
                                               Inadequate maintenance                                                  ain
       Poor          Poor                                                                                                  ed
       Training      Training                                                                    Different Shifts operate differently
                                                    Lack of Procedure        Budget cuts
                                                                                                                      Lack of Procedure
Materials                                                                                                                                 Bottom Hole
                                                                                                                                          Pump Failures
                     Failures in specific wells
                                                        Temperature
                                                                                           Seats/balls failures
                              Formation
                                                                                        Pump specs not to acid level
                          d                       Pressure
                        an
                                        as
                                    G




                       S                                                              Rod impacts damage pump
                                   id
                                Ac




     Plugs Pump                                                                   Pum                         Rod Stretch
             Corrosion                                                                p    jack
                                                                                          spe
                                                                                               ed
                                                                          Low cost/low quality pumps
                                                                          Low           High                      Inadequate pump for application
                                                                                Bid          failu
                                                                                      Poli        re ra
                     Environment                             Machines                     cy           te



                                                                                                                      MCS
Improvement: Discovery
• Upon determining that the root cause of BHP
  failures was the physical design limitations of the
  pump, we needed to determine which wells had
  the problem.
• 89 wells had bottom hole pumps – to replace
  them all may not have been the right solution.
• As the field operators would rotate through the
  area, no one really knew the extent of the
  problem, or where it really was.
• A second Pareto Analysis was done to pinpoint
  the actual BHP failures and impacts by well.



                                       MCS
Second Pareto to Pinpoint the Opportunities

                                                   Bottom Hole Pump Failure - Affected Wells:
                                                           Impact on Lost Production

                                100
                                90    86
Percentage of Lost Production




                                80
                                70
                                60
                                50
                                40
                                30
                                20
                                10            6      3.6     2.3      1.1      0.3    0.3       0.2   0.1   0.09
                                 0
                                      D4     B57     D80     B63     D59       D82    D6        D85   D99   B74

                                                                     Affected Wells




                                 Out of the 89 wells with BHPs, 10 had BHP failures in the past year and
                                 one of those wells had 86% of the lost production!
                                                                                            MCS
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012
Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012

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Gord Masiuk - Case Studies in Continuous Quality Improvement - WCQI Anaheim 2012

  • 1. World Conference on Quality and Improvement May 21-23, 2012 Anaheim, California Case Studies In Continuous Quality Improvement Gordon Masiuk, President Masiuk Consulting Services Ltd. www.business-performance-excellence.ca
  • 2. Implementing Quality Improvement • What has worked well in your organization? • What are some of your challenges? • I wish I could…. MCS
  • 3. “If you think you can, or, if you think you can’t, you’re right!” Henry Ford MCS
  • 4. Presentation Overview • Case Study 1: Reducing Downtime and Improving Production in an Oil Field Operation • Case Study 2: Plant Maintenance Initiative to Reduce Downtime and Improve Production in the First Half Hour of Start-Up • Case Study 3: Reducing Corporate Wide Rig Release to On-Stream Cycle Time and Increasing Production and Cash Flow For an Oil & Gas Operation MCS
  • 5. Focus of the Presentation • What Was Needed to get the Initiative Started? • How The Initiative was Identified • Improvement Methodology Used • Quality Management Analytical Tools Used • Implementing and Measuring the Improvements • Bottom Line Impacts • During the case studies ask yourself how you might be able to apply the quality concepts, tools and measurements in your organization! MCS
  • 6. Improving Production and Reducing Downtime in an Oil Field Operation Case Study 1 MCS
  • 7. What Was Needed to get the Initiative Started? • This initiative was part of an overall Continuous Quality Improvement (CQI) pilot process – acquired sponsorship of executive and senior management • Focus was to generate bottom line results: improving production, reducing costs, eliminating waste and downtime • “Engagement and commitment” of the production supervisor and his operators vs. their “compliance” • Formal and just-in-time training and coaching of supervisors, operators, engineers and others in practical application of CQI tools and methods, teamwork and leadership effectiveness was critical • Full time on-site consultant to guide the initiative • “Diplomatic Immunity” to allow the area to challenge the status quo MCS
  • 8. Key Opportunities • Operations supervisor wanted to involve his teams in the improvement of production and reduction of downtime. This would be the first exposure of the operations crews to a Continuous Improvement initiative. • Operations supervisor was very open to learning and applying performance management and continuous improvement techniques. His engagement and leadership was critical to success. MCS
  • 9. Continuous Improvement Approach • Plan-Do-Check-Act continuous improvement model Plan Continuous Act Improvement Do Model Check MCS
  • 10. Continuous Improvement Approach • Used the Plan-Do-Check-Act (PDCA) approach to design and implement the improvement. • Started the process by conducting operations/ engineering team brainstorming sessions to understand their operational issues. • Identified potential improvement opportunities focused on reducing downtime or improving production (including the “vice on the back of the truck”). • Reviewed one year of production accounting data to identify specific causes of downtime and lost production (Pareto Analysis) and to establish a baseline of performance. • Engaged operations staff and other disciplines in problem solving exercises (Root Cause analysis). • Further fine tuned the accounting data, identified primary improvement opportunity. MCS
  • 11. “The best way to get a good idea, is to get a lot of ideas” Linus Pauling Nobel Winning Chemist MCS
  • 12. Vital Few (Top 20%) Downtime Shortage/Lost Production Top 12/57 Vital Few Top 12/56 Vital Few Reason Hours Reason Barrels Quota Produced 12900 Quota Produced 20337 BH Pump Failure 5330 BH Pump Failure 15848 Pumped Off 2900 Turnaround 10502 Engine Failure 2809 Recover Load Oil 4189 SI (Flared Gas) 2374 Pumped Off 3310 Recover Load Oil 2326 Engine Failure 3069 Turnaround 1982 Pump Change 2656 Line Break 1821 WCT Request 2336 Road Conditions 1080 Line Break 2142 Pump Change 1043 SI (Flared Gas) 2045 WCT Request 1032 Rods Parted 1384 Shut In 864 Gear Box 1054 MCS
  • 13. Barrels of Oil Q 0 5000 10000 15000 20000 25000 uo ta Pr BH o du P ce d of downtime um p Fa ilu Tu r e rn R ar ou ec ov nd er Lo ad O Pu il m pe d En O g in ff e Fa ilu Pu r e m p C ha W n C ge T R eq ue s t Lin e B SI re ( Fla a k re d G as R ) od s Pa rte d G ea Pr rB e ss ox ur H e ig Su h r ve Lin e y P re s su Po re w er Fa ilu r e Fu C el om pr G as e ss or D ow Po lis n h ed R od Pig St u ck Sh u tI n W or Te ko st ve O r th Eq er u ip W W m ell at en er D Fa t is il u po re al s M Pr ec ob ha le nic m al Fa il u re Sa dd R le oa Br d g C Be on dit nt io Po ns lis he d R od Flo w Lin SE e F W ax ed O ff G en D er EF at or Fa i lu re Lo w IG Sp Ta a rk nk Plu R g oo m W Pr at a e r sc o Fa ilu r e Plu g U pg Lin ra e d e Fr oz en W O at ff R er od S H w W un itc at g h U er p Reasons for Lost Production/Shortage In (D je EF ct io ) n P ro b le Ta m MCS nk Sw itc h Ig H nit ig io h n Ta n k Le ve l C W lu tc eig h ht s M 1 Year Baseline Lost Production/Shortage - Pareto Chart ov ed W ell H H ea ole d in Tu H b in ig g BHP failures accounted for 20.1% of annual lost production out of the 56 categories h O D il is Sw ch ar i tc ge h Pr e ss C ur oo e le rF ro H ze ig n h Pr e ss ur Ba e Production Accounting Pareto Analysis t te ry D ow n Lo w O il
  • 14. Hours of Downtime Q 0 2000 4000 6000 8000 10000 12000 14000 uo ta Pr o du BH P ce um d p Fa ilu Pu r e m pe d En O g in ff e Fa SI ilu ( Fla r e re R d ec G ov as er ) Lo ad O Tu il rn ar ou nd Lin e R B oa re d a k C on d itio Pu ns m p C ha W n ge C T R eq ue s t Sh u tI n M G ec ea ha rB n ic ox al Fa il ur e U pg ra R d e od s Pa rte d Te SE st O F th Ta er nk W R ell oo m Pr W e ss at e ur r e Su r ve y Fu C el om G pr as e ss Eq or u D ip ow m n R en od t Fa H il u un re g U categories, about 222 - 24 hour days H p ig (D h EF Lin e ) P re s N su o re N om H in ig at io h n Ta n k Le ve l W or ko ve r Pig St u ck Sp a rk Plu Po w g er Fa ilu r e D EF Sa d dle H Br ig g h Pr e ss ur Po lis e h ed R od Flo W w ell H Reason for Downtime Lin ea e d W ax ed O ff Lo H w ole IG in Tu b in g Ig nit W io at n er D is Plu po s g al Pr o ble m Be n C lu MCS tP tc oli h sh ed W R eig od 1 Year Baseline Downtime Hours - Pareto Chart ht G s en M ov er ed at or Fa Lin i lu e re Fr oz en W O at ff er S w BHP Failures accounted for 11.7% of the total downtime out of the 57 itc h O il Sw H Pr i tc ig as h h co D is Fa ch ilu W ar ge re at er Pr In es je su ct re io n P ro ble C m oo le rF ro ze Ba n tte ry Production Accounting Pareto Analysis D ow n Lo w O Ta il nk Sw itc h
  • 15. Pump Jack Oil Producing Formation Depth: 1300 – 1500 meters (4200 – 4900 feet) Bottom Hole Pump MCS
  • 16. Bottom Hole Pump Failure – Root Cause Analysis Methods Methods Operators Operators don ’t know optimum production level Wrong start up/shut down Inadequate orientation/on -the job training Wrong strokes/minute Engineers provide inaccurate data Poor Training Equipment at wrong speed/temp Improper Improper “Wait till it breaks ” Inadequate orientation/on -the job training Dewaxers Chemicals Engineers provide inaccurate data Poor Inadequate maintenance Poor Training Training Different Shifts operate differently Lack of Procedure Budget cuts Lack of Procedure Materials Bottom Hole Pump Failures Failures in specific wells Temperature Seats/balls failures Formation Pump specs not to acid level Pressure Rod impacts damage pump Plugs Pump Rod Stretch Corrosion Low cost/low quality pumps Inadequate pump for application Environment Machines MCS
  • 17. Bottom Hole Pump Failure – Root Cause Analysis Methods Operators Operators don’t know optimum production level Wrong start up/shut down Op Inadequate orientation/on-the job training era tors not Wrong strokes/minute full Engineers provide inaccurate data y tr ain ed Poor Training Equipment at wrong speed/temp Op Inadequate orientation/on-the job training Improper Improper “Wait till it breaks” era tors Dewaxers Chemicals not full Engineers provide inaccurate data y tr Inadequate maintenance ain Poor Poor ed Training Training Different Shifts operate differently Lack of Procedure Budget cuts Lack of Procedure Materials Bottom Hole Pump Failures Failures in specific wells Temperature Seats/balls failures Formation Pump specs not to acid level d Pressure an as G S Rod impacts damage pump id Ac Plugs Pump Pum Rod Stretch Corrosion p jack spe ed Low cost/low quality pumps Low High Inadequate pump for application Bid failu Poli re ra Environment Machines cy te MCS
  • 18. Improvement: Discovery • Upon determining that the root cause of BHP failures was the physical design limitations of the pump, we needed to determine which wells had the problem. • 89 wells had bottom hole pumps – to replace them all may not have been the right solution. • As the field operators would rotate through the area, no one really knew the extent of the problem, or where it really was. • A second Pareto Analysis was done to pinpoint the actual BHP failures and impacts by well. MCS
  • 19. Second Pareto to Pinpoint the Opportunities Bottom Hole Pump Failure - Affected Wells: Impact on Lost Production 100 90 86 Percentage of Lost Production 80 70 60 50 40 30 20 10 6 3.6 2.3 1.1 0.3 0.3 0.2 0.1 0.09 0 D4 B57 D80 B63 D59 D82 D6 D85 D99 B74 Affected Wells Out of the 89 wells with BHPs, 10 had BHP failures in the past year and one of those wells had 86% of the lost production! MCS