Systematic approach to source-sink matching for geological carbon capture and sequestration Marlo Gawey GIS for Water Resources November 22, 2011 World.

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Presentation transcript:

Systematic approach to source-sink matching for geological carbon capture and sequestration Marlo Gawey GIS for Water Resources November 22, 2011 World Resources Institute

CO 2 Motivation

Carbon Capture & Sequestration (CCS)

Current Carbon Capture and Sequestration Projects

Carbon Capture and Sequestration in Texas

1.Correct pressure and temp. 2.Porous 3.Permeable 4.Fluid trapping mechanism IEA Greenhouse Gas R&D Programme

Subsurface Layers of Rock to Store Fluids Biddle, K.T. and Wielchowsky, C.C., 1994, “Ch. 13: Hydrocarbon Traps,” Magoon, L.B. and W.G. Dow, eds, AAPG Memoir 60.

Major Enhanced Oil Recovery Fields in TX Data from BEG Oil Atlas courtesy of C. Breton

IEA Greenhouse Gas R&D Programme

Sources  Ethylene plants  Hydrogen plants  Iron & steel refineries  Oil & gas refineries  Ammonia plants  Cement plants  Power plants (coal)

Major US CO 2 Producers Data from USGS, IEA, TNRIS courtesy of C. Breton

Major TX CO 2 Producers

Source-Sink Matching 1.Minimize distance from source to sink 2.Minimize distance to CO 2 pipelines, if possible 3.Avoid sensitive areas – Protected aquifers – State & national parks – High density population areas

Goals 1.Create unique maps for qualitative source- sink matching 2.Use some spatial analysis to tease out prospective source-sink matches

Major TX Aquifers & Reservoirs Data from TNRIS and BEG

TX Aquifers & Protected Areas Data from BEG Oil Atlas courtesy of C. Breton

1) Merge protected areas

2) Select sources & sinks within 10 km of protected areas

Result 227 Sources 2973 Sinks 296 Sources 3207 Sinks

CO2 Pipelines in & around TX

… using the same method as before 25 km zone

Result 705 reservoirs 10 CO 2 producers

Nearest Sink to Sources

What’s Next? Create a population density map… …And use it to screen for Sources & Sinks

Steps: 1.Download block shapefiles with population and housing unit counts in them Population count in each housing unit These polygons describe housing units

3) Consolidate data HUGE data set: 914,231 polygons!

2) Calculate areas of blocks

3) Using “Field Calculator” in Attribute Table, calculate population density 4) Export the population density data to a new feature class and map it!