Optimization steam dispatching system at PT. ABC to enhance production performance
PT. ABC injects steam to the ground for reducing oil viscosity and enhancing oil recovery.Those steams are generated from Steam Generator at SS-1/2/3 and Heat Recovery Steam Generator at COGEN. One unit COGEN produce 100,000 BSPD to supply steam for north areas (Area X/Y/Z) and each year has mainte...
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| 格式: | Conference or Workshop Item |
| 語言: | English |
| 出版: |
2014
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| 主題: | |
| 在線閱讀: | http://repo.uum.edu.my/15962/1/P33.pdf http://repo.uum.edu.my/15962/ http://stmlportal.net/ictom04/TOC.html |
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| 總結: | PT. ABC injects steam to the ground for reducing oil viscosity and enhancing oil recovery.Those steams are generated from Steam Generator at SS-1/2/3 and Heat Recovery Steam Generator at COGEN. One unit COGEN produce 100,000 BSPD to supply
steam for north areas (Area X/Y/Z) and each year has maintenance program that required shut down for about 1 month.In mid-2012 there was COGEN down that result in significant oil production decreased during the event.The production loss was dominated from immature areas at Area X & Y. A Lean Sigma process improvement was initiated at the end of 2012 to improve steam dispatching system and work flow process for mitigating impact to oil production especially in anticipating the next COGEN Down event.The project team involved multifunctional teams from Operations, Engineering, and Reservoir.It found significant correlation between quadrant pressure decrease and communication process to production performance during the 2012 COGEN down.By completed steam distribution model and simulation, defined key operations parameter, and improved communication
process for getting the most fit dispatching plan that will deliver the highest steam pressure
at north areas while one unit COGEN down, the quadrant pressure decrease and production loss could be avoided until COGEN back to normal operations with Total Accrued Financial Benefit is $ 5.6 MM.Its required consistency in implementing improvement result and close monitoring key process parameters to achieve expected performance. |
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