CCS scenarios optimisation by spatial multi-criteria analysis: application to multiple source-

sink matching in the Bohai Basin (North China)

Wenying CHEN(chenwy@tsinghua.edu.cu)

Energy, Environment and Economy (3E) Research InstituteTsinghua University

GHGT9-Conference, November 16th-20th, 2008 – Washington DC

• Authors– Wenying CHEN, Fei TENG Ruina XU, Xing XIANG, Rongshu

ZENG, Kim DOMPTAIL, Delphine ALLIER, and Yves-Michel LE NINDRE

• Organizations– 3E Institute, Tsinghua University, Beijing

– IGGCAS, Beijing

– BRGM - French Geological Survey

Projects for emission sources, storage potential assessment and mapping in China

Bohai Basin

Depressions in blue

Highsin beige

HC fieldsin red

Jizhongdepression

Hebei province in the Bohai basin

HebeiHebeiprovinceprovince BohaiBohai

basinbasin

CO2 sources estimation in Hebei

CO2 sources estimation in Shandong

CO2 sources estimation in Jinlin

Carbon Emission Sources Estimated

The Huabei petroleum complex

• Oil and gas exploration in Huabei initiated in 1955. The Huabei complex includes 27 HC fields– On July 4, 1975, the Renqiu field – one of the

largest carbonate oilfield in China was discovered. In 1978, it reached its peak production, the well Ren-4 producing at a yield of thousand ton per day

– A production of ten million ton oil per year had been maintained for ten years till 1986.

• A total of more than 1,900 Km pipelines have been constructed for oil transportation to refineries in Shijiazhuang, Changzhou and Yanshan as well as for natural gas delivery to Beijing.

Jizhong depression—Huabei oilfields

Field name HC type Disc. Year Disc. Well Str. Index Strat. Unit LithologySuning* Oil 1981 Ning6 Ed Dongying SandstoneChahejji* Oil 1978 Cha4 Ed2-Es1 Dongying 2-Shahejie 1 SandstoneDawangzhuang* Oil 1980 Liu70 Ed-Es1 Dongying-Shahejie 1 SandstoneHexiwu* Oil 1966 Jing1 Es2+3 Shahejie 2-3 SandstoneLiuchu* Oil 1993 Chu28 Es3 Shahejie 3 SandstoneLiuquan* Oil 1978 Xinquan2 Es3 Shahejie 3 SandstoneBieguzhuang* Oil 1978 Jing11 Es4 Shahejie 4 SandstoneWenan* Oil 1984 Wen23 C-P Permo-Carboniferous SandstoneGaoyang* Oil 1995 Gao45 O Ordovician Dolomite, limestoneGuxinzhuang Gas 1977 Ba21 O Ordovician Dolomite, limestoneHezhuang Oil 1979 Ze37 O Ordovician Limestone, dolomiteHezhuangxi Oil 1982 Ze46 O Ordovician Limestone, dolomiteLonghuzhuang* Oil 1976 Ba22 O Ordovician Limy dolomiteNanmeng Oil 1977 Ba12 O Ordovician Limy dolomiteShenxi Oil 1979 Ze21 O Ordovician Limestone, dolomiteSuqiao* Oil & Gas 1982 Su1 O Ordovician Dolomite, limestoneYongqing Gas 1978 Yong7 O Ordovician Limestone, dolomiteBalizhuang Oil 1976 Ma15 Jxw Jixian / Wumishan DolomiteBalizhuangxi Oil 1978 Ma25 Jxw Jixian / Wumishan DolomiteLiubei* Oil 1976 Liu10 Jxw Jixian / Wumishan DolomiteMozhou* Oil 1978 Mo2 Jxw Jixian / Wumishan DolomiteRenqiu* Oil & Gas 1975 Ren4 Jxw Jixian / Wumishan DolomiteXuezhuang Oil 1977 Ma71 Jxw Jixian / Wumishan DolomiteYanling* Oil 1977 Dian2 Jxw Jixian / Wumishan DolomiteHejian Oil 1977 Ma38 Chg Changcheng / Gaoyuzhang Dolomite

Prec

ambr

ian

Terti

ary

Ord

ovic

ian

25 HC fields incl. Renqiu selected

Original Oil/Gas In Place for the 25 HC fields

0.0050.00

100.00150.00200.00250.00300.00350.00400.00450.00500.00

Renqiu

*Suq

iao*

Liuqu

an*

Hexiwu*

Suning

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ling*

Liuch

u*Yon

gqing

Long

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uang

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ngxi

Hezhu

angx

iHeji

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g

Field

HC

in p

lace

OOIP(MCM)OGIP(BCM)

CO2= UR*FFV*ρCO2=OGIP*RF_G*FVF_G*ρCO2+

OOIP*RF_O*FVF_O*ρCO2

Where OOIP or OGIP is Original Oil/Gas In Place; RF_O or RF_G is recovery factor for oil/gas; FVF_O/FVF_G is formation volume factor for oil/gas; ρCO2 is density of CO2.

Storage potential assessment for HC fields

Storage potentials in HC fields

Total storage potential estimated: 218Mt CO2

CO2 storage capacity in 25 Huabei HC fields

0.00

10.00

20.00

30.00

40.00

50.00

60.00

70.00

80.00

90.00

Renqiu

*Cha

hejji*

Suqiao

*

Dawan

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ang*

Liuqu

an*

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iwu*

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ing*

Liube

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u*Liu

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angx

iBali

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anXue

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Field

CO

2 pe

r fie

ld (M

t)

0.00

50.00

100.00

150.00

200.00

250.00

CO

2 H

uabe

i cum

ul (M

t)

OilGasCumul

• Langgu Guantao• Bazhou Guantao• Raoyang Guantao

Aquifer

Storage potential assessment for aquifer

CO2= A*H*NTGR*Φ *ρCO2*SW

Where A and H are the total area and average height/thickness of the aquifer; NTGR is the net to gross rate; Φ is the average porosity of the reservoir rock; SW is sweep efficiency and assumed to be 10% in this study.

Name CO2 /Mt

Raoyang 2280

Langgu 570

Bazhou 660

Total 3510

Storage potentials in aquifer(preliminary)

Sinks: GIS present results

Sources and sinks

DSS for mapping of sources and sinks

Multiple least cost sources and sinksmapping (model 1)

ArcMap GIS-based least-cost pathway model (model 2)

– Based on GIS cost grids.

A model was implemented to first calculate the least-cost pathway between sources and sinks depending on the transport cost, and then take into account sink capacity.

湿地高速公路已有油气管道自然保护区公用设施河流城市边界高程GIS底图

( )K+++++⋅= eHcRbPaSCCCT 1

Cost estimation for transportation

Spatial Analyst Tools - Distance

• Cost Allocation: calculates for each cell its nearest source based on the least accumulative cost over a cost surface.

• Cost Back Link: defines the neighbour that is the next cell on the least accumulative cost path to the nearest source

• Cost Distance: calculates the least accumulative cost distance for each cell to the nearest source over a cost surface

• Cost Path: calculates the least-cost path from a source to a destination

Cost Backlink Grid of Cost and Cost Path

Cost Distance

Cost Backlink Grid of Cost and Cost Path

Cost Distance

One source one sink mapping

Multi sources multi sinks mappingCost Backlink Grid of Cost and Cost Path

Cost Distance

Cost Backlink Grid of Cost and Cost Path

Cost Distance

Source & sinks matching: new paths computation

Thank you for your attention!