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MOTOR FUELS PRODUCTION<br />

OPTIMIZATION IN SLOVNAFT REFINERY<br />

Ing. Roman Svitaň, Ing. Michal Mihálik, Ing. Peter Boháček<br />

SLOVNAFT, a.s.


Agenda<br />

• MONTHLY OPTIMIZATION<br />

• DAILY SCHEDULING – BLEND2000<br />

• ONLINE OPTIMIZATION<br />

• TOPNIR MODEL<br />

2


BLENDING<br />

Petchem<br />

LPG<br />

GASOLINE BLENDING<br />

C4 fr.<br />

Izomerate<br />

RPR<br />

Aromat. . Extract,<br />

Red. Reform.<br />

Alkylate<br />

FCC<br />

ETBE<br />

LBi HCK<br />

Alkylation<br />

Diesel B.<br />

VGH GO<br />

Arom. Fr.<br />

HCK GO + KE<br />

HDS 6 KE<br />

HDS 7 GO<br />

HDS 7<br />

Izomerization<br />

ETBE<br />

MONTHLY OPTIMIZATION<br />

GAS SEPAR.<br />

The most products shipped<br />

from refinery are blends of<br />

different components and<br />

Reforming<br />

Light Naphtha<br />

different quality<br />

Heavy Naph.<br />

KERO<br />

GASOIL<br />

VGH<br />

VAD<br />

Crude Oil<br />

Blending = Overall Economy<br />

FCC<br />

DESTILLATION<br />

ATM.RESID<br />

Refinery benefits could be lost by<br />

BLENDING the products SUB-<br />

OPTIMALLY<br />

HCK<br />

Vacuum Resid<br />

HDS 6<br />

RHC


MONTHLY OPTIMIZATION<br />

PIMS (Process Industry Modeling System):<br />

•Flexible tool for production processes economical planning<br />

•GOAL – processes harmonization, satisfy demand, maximize profit<br />

•Optimizes based on Linear Planning, raw materials costs and<br />

product prices<br />

CRUDE<br />

SUPPLY<br />

MATERIALS PRODUCTION<br />

INVENTORIES UNITS<br />

PRIMARY PRODUCTS<br />

DISTRIBUTION INVENTORIES<br />

MATERIAL Flow<br />

MARKET<br />

INFORMATION Flow<br />

4


MONTHLY OPTIMIZATION<br />

•Processes information inserted to PIMS by EXCEL based submodels<br />

•Data transferred into LP Matrix<br />

•Solution – optimized ROLLING PLAN - for each submodel ->production unit/process<br />

Blending D95<br />

95 2,5% EtOH ETBE<br />

Blend W eights M T/M ONTH AUG SEP O CT NO V<br />

1 M O N T H 1 M O N T H 1 M O N T H 1 M O N T H<br />

ETB E from 3rd p . 2 410 2 128 2 3 54 1 9 79<br />

RAFFINA TE E TBE 238 0 304 1 4 77<br />

ALK YLA TE C3 /C4 7 062 4 470 3 7 60 2 4 24<br />

GA SO LIN E FC C 0 3 970 4 5 33 3 6 92<br />

HC K L IG HT N AP HTH A+C5 4 873 429 5 5 27 4 2 14<br />

ISO M E R ATE C 5/C6 8 656 10 646 6 5 41 5 9 57<br />

BUTA NE 0 0 1 018 0<br />

R-STR E AM 21 979 18 282 20 007 17 1 91<br />

Tota l 45 218 39 924 44 043 36 9 35<br />

Product Q ualities AU G S EP O CT NO V<br />

1 M O N T H 1 M O N T H 1 M O N T H 1 M O N T H<br />

REID VAP PR ESS , kPa 58 ,0001 58,0001 73,8 474 80,7 790<br />

ethan ol e quiv. conte 2,5 000> 2,50 00> 2,50 00> 2,500 0><br />

ethan ol a s a dd 0,1596 0,1 596 0,1 596 0,15 96<br />

SP ECIFIC G R A VITY 0,7469 0,7 470 0,7 450 0,74 30<br />

RO N(C LEA R ) - QC D 95,4 000> 95,4 000> 95,40 00> 95,40 00><br />

M O N(C LEA R) - Q C D 87 ,6197 86,9282 86,5 895 86,3 511<br />

PCT O FF AT 70 °C - s 26 ,4894 29,7253 30,3 544 31,8 270<br />

PCT O FF AT 100°C 47 ,9046 48,9567 51,5 437 52,4 759<br />

PCT O FF AT 150 °C 81 ,9217 81,9375 84,3 559 85,9 626<br />

PCT O FF AT 180 °C 94 ,4773 94,2676 94,5 579 94,8 268<br />

M AX CO NTE N T SUL FU R 0,0003 0,0 003 0,0 004 0,00 04<br />

M AX CO NTE N T ARO M A TES 34,0 000< 34,0 000< 34,00 00< 34,00 00<<br />

M AX CO NTE N T BE N ZEN E 0,5682 0,5 089 0,7 824 0,79 00<br />

M AX CO NTE N T O XYG E N 0,8369 0,8 368 0,8 390 0,84 13<br />

M AX CO NTE N T O LEFIN E S 0,7270 3,9 650 6,0 460 4,19 65<br />

M A X CON TEN T C 4 - sum 0,5253 0,0 000 3,00 00< 4,000 0<<br />

5


Agenda<br />

• MONTHLY OPTIMIZATION<br />

• DAILY SCHEDULING – BLEND2000<br />

• ONLINE OPTIMIZATION<br />

• TOPNIR MODEL<br />

6


Daily scheduling = BLEND 2000<br />

BLEND 2000<br />

Creates<br />

optimal<br />

recipes<br />

Set up a<br />

blended<br />

volume<br />

Follow<br />

the planned<br />

shipment


Program screenshot<br />

Blend 2000<br />

UNITS<br />

Blending<br />

components<br />

Header<br />

Product<br />

tanks<br />

Product<br />

specification


Optimization<br />

CALCULATED<br />

RECIPE<br />

by BLEND 2000<br />

BRC<br />

Blend Ratio Control<br />

components ratio is kept<br />

constant during the whole blend<br />

BPC<br />

Blend Property Control<br />

!OPTIMIZATION!


Agenda<br />

• MONTHLY OPTIMIZATION<br />

• DAILY SCHEDULING – BLEND2000<br />

• ONLINE OPTIMIZATION<br />

• TOPNIR MODEL<br />

10


Fixed ratio recipe blending - BRC<br />

Situation without online optimizing<br />

• Blending recipes are calculated based on quality data of component tanks.<br />

• Quality of input streams and the component tanks varies slightly in time.<br />

• The blending ratios are not changing during blending.<br />

Components<br />

tanks<br />

Final products<br />

tanks<br />

Final tanks are sampled for<br />

inspection certificate. If off spec,<br />

reblend is needed.<br />

Quality of mixed final product is checked only 1x during<br />

blending, if off spec, recipe is slightly modified<br />

11


Impact of Fixed Blending Ratio - BRC<br />

• Quality offspec<br />

- reblend needed (costs of reblends, reanalysis)<br />

- expedition delay (your credibility in the customers eyes)<br />

- some cases it can be blocked expedition tank<br />

• Quality giveaway<br />

- minimize probability of quality offspec<br />

- produce final product with quality in the “safe area”<br />

- non-economical using of expensive components (expense increasing)<br />

12


Online <strong>optimization</strong> - BPC<br />

• Software Blend2000 calculates preliminary recipes based on QC quality data.<br />

• Quality of input streams and component tanks varies slightly in time.<br />

• The online NIR analyzer identifies quality changes of the blend and DCS<br />

continuously optimizes the preliminary recipes.<br />

NIR analyzer<br />

MON,<br />

RON,<br />

RVP<br />

Distill.,<br />

... ...<br />

DCS<br />

Components<br />

Recipe<br />

Blend 2000<br />

Components<br />

tanks<br />

Final products<br />

tanks<br />

Final tanks are sampled<br />

for inspection certificate<br />

13


Advantage of online optimizing - BPC<br />

• Profit increasing<br />

- without quality giveaway or quality offspec<br />

- optimizing components consumption<br />

• Reblend / expedition delay reduction<br />

- saves time, money and ensure continuous<br />

expedition of the products<br />

• Production increasing.<br />

14


Agenda<br />

• MONTHLY OPTIMIZATION<br />

• DAILY SCHEDULING – BLEND2000<br />

• ONLINE OPTIMIZATION<br />

• TOPNIR MODEL<br />

15


TOP NIR model<br />

• Essential for online optimizing – blend properties<br />

evaluation<br />

• Model:<br />

- NIR spectrum<br />

- Area of chemical band characteristic vibration<br />

• Principle:<br />

- Spectrum – composition – properties<br />

- Statistic – matrix calculation in multidimensional<br />

space<br />

16


TOP NIR Model – input NIR spectrum<br />

17


TOP NIR model<br />

18


Model reliability<br />

• Functional model ↔ actualization<br />

• Data collection, Evaluation of analysis results,<br />

Database actualization – cooperation Blending<br />

unit, Quality Control, Down Stream<br />

Development and Production excellence<br />

• Linear bonuses calculation (to be done by Down<br />

Stream Development in cooperation with<br />

Blending unit, Quality control and Production<br />

excellence).<br />

19


SUMMARY<br />

Optimization in oil industry covers broad scope of<br />

the activities:<br />

• Monthly Optimization Planning including all<br />

business processes<br />

• Daily Based Scheduling - to satisfy required<br />

daily shipment (Blend 2000, DCS – BRC)<br />

• Online Blending Optimization – minimize<br />

quality giveaway/ final product cost, offspec<br />

quality (online NIR – TOP NIR, DCS – BPC)<br />

• Systematic NIR online analyzer model<br />

updating<br />

20

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