<?xml version='1.0' encoding='utf-8'?>
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/ http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
  <dc:contributor>Peter D. Warwick</dc:contributor>
  <dc:contributor>Steven T. Anderson</dc:contributor>
  <dc:creator>Hossein Jahediesfanjani</dc:creator>
  <dc:date>2017</dc:date>
  <dc:description>&lt;p&gt;&lt;span&gt;To estimate the carbon dioxide (CO&lt;/span&gt;&lt;sub&gt;2&lt;/sub&gt;&lt;span&gt;) injection and storage capacity of saline formations, we used Tough2‐ECO2N simulation software to develop a pressure‐limited (dynamic) simulation approach based on applying three‐dimensional (3D) numerical simulation only on the effective injection area (A&lt;/span&gt;&lt;sub&gt;eff&lt;/sub&gt;&lt;span&gt;) surrounding each injection well. A statistical analysis was performed to account for existing reservoir heterogeneity and property variations. The accuracy of the model simulation results (such as CO&lt;/span&gt;&lt;sub&gt;2&lt;/sub&gt;&lt;span&gt;&amp;nbsp;plume extension and induced injection well bottomhole pressure values) were tested and verified against the data obtained from the Decatur CO&lt;/span&gt;&lt;sub&gt;2&lt;/sub&gt;&lt;span&gt;&amp;nbsp;injection study of the Mount Simon Formation. Next, we designed a full‐field CO&lt;/span&gt;&lt;sub&gt;2&lt;/sub&gt;&lt;span&gt;&amp;nbsp;injection pattern by populating the core sections of this formation with a series of the simulated effective injection areas such that each simulated A&lt;/span&gt;&lt;sub&gt;eff&lt;/sub&gt;&lt;span&gt;&amp;nbsp;acts as a closed domain. The results of this analysis were used to estimate the optimum number and location of the required CO&lt;/span&gt;&lt;sub&gt;2&lt;/sub&gt;&lt;span&gt;&amp;nbsp;injection wells, along with the dynamic annual CO&lt;/span&gt;&lt;sub&gt;2&lt;/sub&gt;&lt;span&gt;&amp;nbsp;injection rate and overall pressure‐limited storage capacity of this formation. This approach enabled us to model separate CO&lt;/span&gt;&lt;sub&gt;2&lt;/sub&gt;&lt;span&gt;&amp;nbsp;injection activities independently at different sections of the same saline formation and to model and simulate faults and natural barriers by considering them as boundary conditions for each simulated A&lt;/span&gt;&lt;sub&gt;eff&lt;/sub&gt;&lt;span&gt;&amp;nbsp;without constructing full‐field models. Using this approach, a series of modeled A&lt;/span&gt;&lt;sub&gt;eff&lt;/sub&gt;&lt;span&gt;&amp;nbsp;with relevant properties may be redesigned to model any other saline formation with a similar structure.&amp;nbsp;&lt;/span&gt;&lt;/p&gt;</dc:description>
  <dc:format>application/pdf</dc:format>
  <dc:identifier>10.1002/ghg.1701</dc:identifier>
  <dc:language>en</dc:language>
  <dc:publisher>Wiley</dc:publisher>
  <dc:title>3D Pressure‐limited approach to model and estimate CO2 injection and storage capacity: saline Mount Simon Formation</dc:title>
  <dc:type>article</dc:type>
</oai_dc:dc>