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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
*Yan
ling*
Liuch
u*Yon
gqing
Long
huzh
uang
*Bali
zhua
ngxi
Hezhu
angx
iHeji
anHez
huan
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
gzhu
ang*
Liuqu
an*
Guxinz
huan
gHex
iwu*
Bieguz
huan
g*Sun
ing*
Liube
i*Yan
ling*
Mozho
u*Liu
chu*
Wenan
*Yon
gqing
Gaoya
ng)
Long
huzh
uang
*She
nxi
Balizh
uang
xiNan
meng
Hezhu
angx
iBali
zhua
ngHeji
anXue
zhua
ngHez
huan
g
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!
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