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Gas Lift Automation

Gas Lift Automation. Dr Alasdair S Brown Technical Manager EPS Americas. Automation. A Requirement for fields with many wells Intelligence needs built in to applications to permit automated diagnosis “Productisation” is important to shorten time to implementation

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Gas Lift Automation

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  1. Gas Lift Automation Dr Alasdair S Brown Technical Manager EPS Americas 1

  2. Automation • A Requirement for fields with many wells • Intelligence needs built in to applications to permit automated diagnosis • “Productisation” is important to shorten time to implementation • Standard Interfaces for components to allow quick integration. Concentrate software effort on integration rather than development 2

  3. Automation • Solutions need to be robust and integrated on a solid, well designed basis, capable of scaling up to support total field operations • Not put together by “garage mechanics with glue guns” – Larry Ellison on the need for software which requires less tailoring • Need to integrate workflow across technical disciplines (“Knowledge Management”) 3

  4. Millions Of Barrels Per Day Utilisation Rate 20 100 & Capacity Utilisation & & 15 95 & & & & 10 90 & & & & 5 85 0 80 1991 1990 1992 1993 1994 1995 1996 1997 1998 1999 2000 Year Step Change Example - Refining Throughout the nineties, US refining utilisation has improved radically. This benefit was delivered through the application of Automation and Optimization IT. US Refining Efficiency 5

  5. Dynamic Gas Optimisation Objective - PDVSA identified the opportunity to make significant gains in production from mature fields in the Maracaibo area through integration of automation and optimisation technologies. Scope • PDVSA awarded a contract to a consortium led by ABB to deliver an integrated system (PRAP) to deliver these gains • EPS deliverables included the optimisation systems and well modelling and diagnosis in the automated well testing subsystem 6

  6. PRAP Architecture 7

  7. 7 May, 2001 Integration CaseStudy Well CL243 CHP THP THT Qgi 8

  8. 7 Mayo, 2001 16:16 The casing pressure increasesrapidly... THP THT CHP 5042 :: CL243-1 :: ASMS Well Rule 42 :: SEDILAG has performed an initial run on well CL 243because the casing pressure has changed. The possible reason could be:1. Multiple injection points, or2. A gas-lift valve failure, or3. Tubing-Annulus communication.SEDILAG should confirm the specific reason.A SEDILAG run will be initiated automatically. Qgi 9

  9. 7 Mayo, 2001 16:16 A 75 minute timer starts to see if the new abnormal situation in the well stabilises before starting SEDILAG Using Zoom... THP THT CHP Qgi 10

  10. AVG Function MAX Function MIN Function 7 May, 2001 17:32 The analysis of the trends and the extraction of data for the SEDILAG execution starts Qgi THP CHP 11

  11. 7 May, 2001 17:32 A SEDILAG run starts which combines these process data values with the production history and the WellFlo well model. THP THT CHP Qgi 12

  12. 7 de Mayo, 2001 17:32 As a result of the SEDILAG diagnosis, an alarm is produced. Integrationwith Well TestOptimization Comes from SEDILAG andconfirms the suspicions ofASMS! THP THT CHP Qgi 13

  13. Dynamic Gas Optimisation Results • An integrated production model was built by EPS and interfaced to the SCADA system. • The initial implementation covered some 250 wells in Lake Maracaibo • This pilot phase generated quantifiable gains of between 2% and 7% in the areas covered resulting in a bottom line performance gain of $36 million per annum. • The success of the pilot has given PDVSA the confidence to implement this technology through all its assets - this is projected to improve financial performance by $800 million per annum The DGO application optimizes the use of gas as a fuel and between the different consumers. 14

  14. i-DO Objective – short term gains of 3-7% in production, medium term – unit cost reductions of up to 35% Scope • Used on a daily basis to manage the asset and make operational decisions including • Hydrocarbon Accounting • Production Reporting • Environmental Reporting • Production Loss Management • Production Forecasting • On-line “Real Time” • Field Production Optimisation • Production Welltest Diagnosis Delivery • An integrated set of tools linked to real time data acquisition systems for on-line operation 15

  15. i-DO Implementation • Build on existing products • Reduce risk through virtually an “off-the-shelf” solution • All components configurable (without software changes) for different assets • Generic SCADA interfaces available 16

  16. Production Hydrocarbon Diagnosis Rules (WPAS) Allocation (PALMS) Accounting (PALMS) onomic model c E Optimiser (ReO) Control BHP Data Module (i-DO) Interpretation (PanSuite) Field SCADA System Interface to other applications analysis Risk SCADA Interface Surface Well Material Network Models (WellFlo) Balance apps Other Models (ReO) Resevoir Models (MatBal) Internet/Intranet users Intelligent Daily Operations 17

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