Model Complexity and Choice of Model Approaches for Practival Simulations of CO2 Injection, Migration, Leakage, and Long-term Fate Email Page
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Performer: Princeton University
Schematic of typical injection formation (top),<br/>pressure distribution under vertical equilibrium<br/>(bottom left), and associated saturation profile<br/>(bottom right).
Schematic of typical injection formation (top),
pressure distribution under vertical equilibrium
(bottom left), and associated saturation profile
(bottom right).
Website: Trustees of Princeton University
Award Number: FE0009563
Project Duration: 10/01/2012 – 09/30/2016
Total Award Value: $799,896
DOE Share: $599,896
Performer Share: $200,000
Technology Area: Geologic Storage
Key Technology: GS: Fluid Flow, Pressure & Water Management
Location: Princeton, New Jersey

Project Description

Princeton researchers are developing a suite of models of varying complexity, testing them against each other using actual CO2 injection cases, and showing how some can be used to help resolve important practical design issues associated with optimal placement of wells for CO2 injection, brine extraction, and system monitoring. This exercise is demonstrating the degree to which models of different complexity can be used to address design and optimization issues associated with placement and scheduling of injection, extraction, and observation wells. Ultimately, study findings will help determine when simplified models are appropriate for CO2 storage modeling.

Project Benefits

This project is focused on developing and assessing the applicability of reservoir process models having different degrees of complexity. Use of models of appropriate complexity enable operators to more efficiently and confidently predict storage capacity and ensure storage efficiency and permanence, contributing to better storage technology and thus reducing CO2 emissions to the atmosphere. Specifically, this project is developing a suite of models having a broad range of complexity and testing them against each other in actual field injection.

Contact Information

Federal Project Manager Mary Sullivan: mary.sullivan@netl.doe.gov
Technology Manager Traci Rodosta: traci.rodosta@netl.doe.gov
Principal Investigator Michael Celia: celia@princeton.edu

 

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