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Naphtha-Mogas pool optimization - · PDF fileRefinery Petchem unit M M M ... Naphtha-Mogas...

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  • Naphtha-Mogas pool optimization

    Istvn KTAI, Istvn RABI, dr. Lszl SZIRMAI, Zsolt Nmeth, Szabolcs SIMON MOL Group

    2nd Annual

    European Petrochemicals Conference Dsseldorf

    March, 2015

    V6: Feb 27. 2015

  • 2

    MOL Downstream Petrochemicals synergy

    Utilisation options for naphtha

    How to calculate Steam Cracking economics as a function of naphtha

    quality ?

    Steps of a naphtha pool linear programming model revision

    Conclusions

    Agenda

  • 3

    Refinery Petchem unit

    UP

    ST

    RE

    AM

    D

    OW

    NS

    TR

    EA

    M

    GA

    S M

    IDS

    TR

    EA

    M

    REGION EBITDA 2013 KEY DATA

    Operation in 40 countries

    38 million barrels of oil-

    equivalent hydrocarbon

    produced

    8 bn USD market capitalisation

    ~30 000 employees

    750 000 retail transactions daily

    24,1 bn USD revenue

    2,3 bn USD EBIDTA

    576 MMboe SPE 2P

    reserves (1)

    960 MMboe Recoverable

    Resource Potential (2)

    96 mboepd production (3)

    Production in 8, exploration

    in 13 countries (2)

    MOL Group in numbers

    4 refineries, 417 thbpd

    19 Mtpa sales

    1 900+ (4) service stations

    2 petrochemical plants

    Gas Transmission:

    5.560 km pipeline in

    Hungary

    (1) End of 2013 SPE-2P, 2P reserves of North Sea assets not included yet, to be booked in 2014

    (2) Already including the North Sea assets (UK) of Wintershall which deal was closed in Q1 2014

    (3) Excluding ZMB and S7 fields, divested in August 2013; & excluding 49% of Baitex LLC, deal closed in Q1

    2014

    (4) Including the 208 service stations, acquired from ENI Group; deal has not closed yet

    MOL GROUP UPSTREAM-DRIVEN, INTEGRATED COMPANY

  • 4

    Bratislava

    Danub

    e Sisak

    Rijeka

    KEY STRENGTH

    Complex, diesel geared refineries

    Integrated petrochemical units to handle surplus gasoline/naphtha pool

    Strong land-locked market presence 20% motor fuel market share in the CEE; market leader in 4 countries

    Region-wide Logistics, Wholesale and Retail network serve the market - above 55% end-user share

    Refinery Mtpa thbpd NCI

    MOL Group

    20.9 417 10.0

    Danube 8.1 161 10.6

    Bratislava 6.1 122 11.5

    Rijeka 4.5 90 9.1

    Sisak 2.2 44 6.1

    REFINERY YIELD 2014E

    over

    80% white prd.

    19.4 Mt refined product & petrochemical sales

    Retail: 1.900+ FS (1) over 3.5 Mtpa sales

    Petchem: 1.3 Mt ext. sales

    2013 FIGURES REFINERY CAPACITY & COMPLEXITY

    3% 9%

    20%

    52%

    4% 3%

    3% 6% LPG

    Naphtha

    Motor Gasoline

    Middle Distillates

    Fuel Oil

    Bitumen

    Other

    Other chemical prds.

    (1) Including the recently acquired CZE, SVK, ROM Agip network

    TWO LARGEST ASSETS AMONG THE BEST IN EUROPE Integrated operation in adjacent markets

  • 5

    MOL IS AMONG THE TOP TEN POLYOLEFIN PRODUCERS IN EUROPE

    LDPE capacities in Europe (2012)

    145

    150

    160

    196

    220

    245

    310

    420

    500

    505

    645

    835

    845

    870

    873

    DIOKI dd.

    TDEASA

    Total Petrochemicals

    KazanorgsintezJSC

    Sibur ZAO

    10. MOL

    Petkim

    Repsol

    INEOS

    Dow Chemicals

    Borealis

    Versalis

    ExxonMobil

    LyondellBasell

    SABIC Europe

    HDPE capacities in Europe (2012)

    100

    120

    140

    220

    230

    355

    375

    400

    420

    510

    535

    615

    920

    1100

    1630

    Rompetrol

    Gazprom

    Dow Chemicals

    Versalis

    Nizhnekamsknefekhim

    PKN Orlen (Unipetrol)

    Repsol

    Lukoil

    7. MOL

    Kazanorgsintez JSC

    Borealis

    SABIC Europe

    Total Petrochemicals

    INEOS

    LyondellBasell

    PP capacities in Europe (2012)

    180

    180

    200

    230

    250

    260

    290

    490

    535

    545

    905

    1150

    1270

    1885

    2855

    DOMO Int.

    Hellenic Petroleum

    Polychim

    Sibur ZAO

    ExxonMobil

    Lukoil

    PKN Orlen (Unipetrol)

    Repsol

    7. MOL

    Braskem Europe

    INEOS

    SABIC Europe

    Total Petrochemicals

    Borealis

    LyondellBasell

    Butadiene capacities in Europe (2015 estimated)

    124130141

    176178

    207210

    230260270

    300300302

    320415

    TITAN GroupMOL

    PKN OrlenTotal Petrochemicals

    NizhnekamskneftekhimRepsol

    ENI (Versalis)SABICBASF

    DowSIBUREvonik

    OMVLyondellBasell

    INEOS

  • 6

    REFINING PETROCHEMICALS INTEGRATION AT MOL

    Optimization of product placement between:

    4 Refineries

    2 Petchem sites

    REF

    ININ

    G

    NAPHTHA LPG

    GASOIL PROPYLENE

    Petrochemicals processing chain

    PYGAS: AROMATICS HYDROGEN

    I-BUTENE

    PLASTIC PRODUCERS

    STEAM CRACKERS

    OLEFINS POLYOLEFINS

    ETHYLENE SALES

    POLYMER UNITS

    LDPE HDPE Polypropylene

    BRATISLAVA SITE - 220 ktpa LDPE - 250 ktpa PP

    TVK SITE

    - 420 ktpa HDPE - 65 ktpa LDPE - 140 ktpa ethylene - 280 ktpa

    polypropylene

  • 7

    Naphtha-Mogas pool optimization Utilisation options for naphtha

    Naphtha components

    Steam Cracking prefers paraffinic low boiling point naphtha Quality measured by: monomer yields

    Reforming prefers aromatic naphthenic naphtha Quality measured by: Reformate RON, MON = f(N+2A)

    Some naphtha may go to Diesel / Kero pool: paraffinic higher boiling point naphtha

    components

  • 8

    Reforming economics is determined by feed N+2A

    Reforming prefers aromatic and naphthenic naphtha

    Higher reformer feed N+2A

    Higher reformate RON and MON

    Better reformer economics

    Aromatics: B,T, X,

    Naphthenics: Cyclo-paraffins

  • 9

    How to calculate SC economics as a function of naphtha quality ?

    Steam Cracking prefers paraffinic (iso and n-paraffins) low boiling point naphtha

    Normal paraffins Isoparaffins

    Steam Cracker margin is determined by the monomer yields.

    Which naphtha parameter correlates best with Steam Cracker yields?

    Candidates:

    - Density

    - Boiling points - IBP - T50 - FBP (T95)

    - Group composition - Isoparaffin - n-paraffin - aromatics - naphthenic

    - Combinations of the above parameters

  • 10

    Steps of a naphtha pool linear programming model revision

    Concept Data

    acquisition

    Steam Cracker

    modelling

    Correlation analysis

    Regression analysis

    Prepare PIMS data

    Start up and use new model

    Target Improved Naphtha pool optimisation based on Steam Cracker economics calculated

    from expected product yields Consistent handling of own produced and external naphtha components Implementation steps

  • 11

    Step 1: Concept

    An internal MOL Lean study statement:

    Less aromatic naphtha Higher Petchem profitability

    Source: MOL internal Lean study: L. Szirmai, M. Bublik, G. Grdonyi, Sz. Simon

  • 12

    Step 2: Data acquisition

    Naphtha stream lists, sampling points

    Laboratory analyses Data preparation

    Danube Refinery naphtha streams DCDU3 Light NAPHTHA DCDU2 Light NAPHTHA DCDU1 light Naphtha

    Slovnaft naphtha streams Heavy naphtha from BADU5 Heavy naphtha from BCDU6 Heavy naphtha from SPL C5/C6 fraction from AD 5

    Import naphthas Source A Source B

    Naphtha tank data Refinery tanks Petchem site tanks

    Density

    Boiling points IBP T50 FBP (T95)

    Group composition Isoparaffin n-paraffin aromatics naphthenic

    Yearly averages for main streams in naphtha pool

    Define typical naphtha compositions for each petchem site

  • 13

    SPYRO yields for each steam cracker and each naphtha component

    Expected once-through product yields for each steam cracker and each naphtha component

    SC-1 yields Naphtha stream A Naphtha stream B

    SC-2 yields Naphtha stream A Naphtha stream B

    Grouping of individual components to real components

    Apply empirical corrections, simplifications

    Step 3: Steam Cracker simulator (SPYRO) calculations

    Product yieldsNaphtha

    stream A

    Naphtha

    stream B

    Naphtha

    stream C

    Hydrogen 0,0021 0,0021 0,0021

    Methane 0,1728 0,1562 0,1461

    Ethylene 0,2868 0,2670 0,2436

    Propylene 0,1661 0,1507 0,1341

    BT 0,0533 0,0775 0,0912

    C8 0,0036 0,0065 0,0132

    C9+ 0,0107 0,0222 0,0343

    Quench 0,0113 0,0294 0,0577

    Repyrolysis ethane 0,0351 0,0326 0,0301

    Repyrolysis propane 0,0161 0,0148 0,0135

    Repyrolysis C4 0,1498 0,1459 0,1294

    Repyrolysis C5 0,0686 0,0583 0,0534

    Yields of physical products

    Compound yieldsNaphtha

    stream A

    Naphtha

    stream B

    Naphtha

    stream C

    wt% (dry) wt% (dry) wt% (dry)

    Hydrogen 0,9443 0,93947 0,93452

    Methane 16,438 14,854 13,886

    Acetylene 0,46549 0,44746 0,41425

    Ethylene 30,582 28,464 25,961

    Ethane 3,5686 3,3087 3,0521

    Methyl-Acetylene 0,51535 0,46407 0,41622

    Propadiene 0,34563 0,31213 0,28064

    Propylene 18,152 16,468 14,653

    Propane 0,43352 0,40291 0,37228

    Vinyl-Acetylene 0,054135 0,05928

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