Optimizing Carbon Sequestration With the Capacitance/Resistance Model
- Qing Tao (The University of Texas at Austin) | Steven L. Bryant (The University of Texas at Austin)
- Document ID
- Society of Petroleum Engineers
- SPE Journal
- Publication Date
- October 2015
- Document Type
- Journal Paper
- 1,094 - 1,102
- 2015.Society of Petroleum Engineers
- capacitance-resistance model, CO2 storage, well connectivity, optimization, brine extraction
- 8 in the last 30 days
- 502 since 2007
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Carbon dioxide (CO2) storage in deep brine-filled structures accompanied by brine extraction has several more advantages than conventional injection-only storage schemes, but avoiding CO2 arrival at extraction wells becomes a paramount concern. The use of conventional reservoir simulators to optimize CO2 injection/brine extraction requires a model of the petrophysical properties of the storage formation. Unfortunately, those properties are unlikely to be adequately characterized in storage reservoirs, especially at the outset of a project. An attractive alternative tool to manage injection/extraction storage processes is the capacitance/resistance model (CRM), which only requires the wells’ injection/extraction histories as input. A useful characteristic of CRM for this application is that it identifies the connectivities between injectors and extractors. We show the effectiveness of the method on a homogeneous aquifer with variable injection rates. We describe a work flow that optimizes subsequent CO2 storage in the aquifer with the CRM parameters obtained from the injection/extraction history. A reasonable estimate of CRM parameters requires a sufficient length of injection/extraction history. We present further a dynamic work flow that allows updating the history and the optimal control strategy. The applications on the example storage aquifers show significant improvements in the amount of CO2 stored by injection/extraction strategies.
|File Size||869 KB||Number of Pages||9|
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