IPC분류정보
국가/구분 |
United States(US) Patent
등록
|
국제특허분류(IPC7판) |
|
출원번호 |
US-0058302
(2008-03-28)
|
등록번호 |
US-8311652
(2012-11-13)
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발명자
/ 주소 |
- Taha, Othman A.
- Chan, Henry H.
|
출원인 / 주소 |
- Saudi Arabian Oil Company
|
대리인 / 주소 |
Bracewell & Giuliani, LLP
|
인용정보 |
피인용 횟수 :
3 인용 특허 :
1 |
초록
▼
An optimization method based on statistical modeling relating NGL plant process variables. The modeling may rely on input data from process history and modeled data. The method identifies process scenarios when a compressor from an associated propane/propylene refrigeration system may be deactivated
An optimization method based on statistical modeling relating NGL plant process variables. The modeling may rely on input data from process history and modeled data. The method identifies process scenarios when a compressor from an associated propane/propylene refrigeration system may be deactivated and still allow the NGL plant to achieve product specification.
대표청구항
▼
1. A method of optimizing a natural gas liquids (NGL) facility, wherein the NGL facility comprises NGL trains each having an NGL process, the method comprising: (a) establishing a baseline NGL recovery for each NGL process;(b) modeling a process scenario for each NGL process using input variables, w
1. A method of optimizing a natural gas liquids (NGL) facility, wherein the NGL facility comprises NGL trains each having an NGL process, the method comprising: (a) establishing a baseline NGL recovery for each NGL process;(b) modeling a process scenario for each NGL process using input variables, wherein the input variables comprise process data and wherein each NGL process comprises first and second refrigeration circuits with associated refrigeration compressors;(c) modeling a simulated selective deactivation of a refrigeration compressor;(d) determining a modeled NGL recovery for each NGL process from step (c);(e) classifying the process scenario as a compressor off scenario if the modeled NGL recovery is substantially at least the same as the baseline NGL recovery;(f) operating a functioning NGL facility having a process scenario based on step (b) wherein the functioning NGL facility comprises a first and second refrigeration circuits with associated refrigeration compressors;(g) deactivating a refrigeration compressor of the functioning NGL facility if the process scenario is classified as a compressor off scenario; and(h) optimizing a feed flow rate distribution to each NGL train. 2. The method of claim 1, further comprising classifying the process scenario as a compressor on scenario if the modeled NGL recovery is less than the baseline NGL recovery. 3. The method of claim 1 further comprising repeating steps (b) through (g) using a different process scenario. 4. The method of claim 1, wherein the step of modeling a process scenario comprises statistical optimization. 5. The method of claim 1 wherein the process data comprises values selected from the group consisting of measured NGL process data and modeled NGL process data. 6. The method of claim 1 wherein the input variables comprise values selected from the group consisting of feed flow rate to an NGL process, feed flow composition to an NGL process, NGL process pressure, NGL process temperature, and NGL process heat exchanger duty. 7. The method of claim 1, wherein the NGL facility comprises four NGL trains. 8. The method of claim 7, wherein the NGL trains are arranged in parallel. 9. The method of claim 1, wherein the NGL process further comprises a C2 refrigeration circuit having a C2 refrigeration compressor. 10. The method of claim 1, wherein the baseline NGL recovery comprises values selected from a group consisting of NGL overhead recovery from an NGL fractionation column, bottoms recovery from the NGL fractionation column, C3 recovery from an NGL fractionation column, bottoms C3 recovery from the NGL fractionation column, and combinations thereof. 11. The method of claim 1, wherein the first and second refrigeration circuits comprise C3 refrigeration circuits. 12. A method of optimizing the operation of a natural gas liquids (NGL) facility wherein the NGL facility comprises first, second, and third chilling units, a demethanizer column, first and second propane refrigeration systems having propane refrigeration compressors, and an ethane refrigeration system, the method of optimizing comprising: (a) modeling process scenarios for the NGL facility comprising, simulating selective deactivation of one of the propane refrigeration compressors, determining a modeled NGL recovery value, identifying the modeled process scenario as a compressor off scenario if the modeled NGL recovery value is approximately at least the value of a predetermined NGL recovery specification value for a modeled process scenario where one of the refrigeration compressors is selectively deactivated;(b) feeding a natural gas feed stream to the first chilling unit to produce a chilled rich gas stream and a chilled liquid stream;(c) feeding the chilled rich gas stream to the second chilling unit to produce a second chilled rich gas stream and a second chilled liquid stream;(d) feeding the second chilled rich gas stream to the third chilling unit to produce a third chilled liquid stream;(e) feeding the chilled liquid stream and the second chilled liquid stream and the third chilled liquid stream to the demethanizer column, the demethanizer column producing an overhead stream and a bottoms stream, the bottoms stream having a bottom product specification, the overhead stream defining an overhead propane concentration;(f) feeding the overhead stream through an overhead valve having an overhead valve outlet pressure;(g) providing heat exchange through the first propane refrigeration system to the first chilling unit, the first chilling unit having a first chiller, the first chilling unit having a first chill down separator;(h) providing heat exchange through the second propane refrigeration system operable for providing cooling to the second chilling unit, the second chilling unit having a second chill down separator, the second chilling unit including a primary second chiller;(i) providing heat exchange to the third chilling unit through the ethane refrigeration system having an ethane compressor; and(j) deactivating a propane refrigeration compressor if the process of the NGL facility is similar to a modeled process scenario identified as a compressor off scenario. 13. The method of claim 12 wherein the process scenario comprises input variables comprising values selected from the group consisting of feed flow rate to an NGL process, feed flow composition to an NGL process, NGL process temperature, NGL process temperature, and NGL process heat exchanger duty. 14. The method of claim 12, further comprising classifying the process scenario as a compressor on scenario if the modeled NGL recovery value is less than the predetermined NGL recovery specification value. 15. The method of claim 12 wherein the process scenarios of step (a) have different input variables. 16. The method of claim 15 wherein the input variables comprise values selected from the group consisting of feed flow rate to an NGL process, feed flow composition to an NGL process, NGL process temperature, NGL process temperature, and NGL process heat exchanger duty. 17. The method of claim 15, wherein the step of modeling comprises statistical optimization. 18. The method of claim 12, wherein the NGL facility comprises four NGL trains. 19. The method of claim 18, further comprising optimizing flow distribution to the NGL trains. 20. The method of claim 12, wherein the predetermined NGL recovery specification value comprises values selected from a group consisting of NGL overhead recovery from an NGL fractionation column, bottoms recovery from the NGL fractionation column, NGL overhead C3 recovery from an NGL fractionation column, bottoms C3 recovery from the NGL fractionation column, and combinations thereof.
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