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Development of Intelligent Monitoring System (IMS) Modules for the Aquistore CO2 Storage Project

Technical Report ·
DOI:https://doi.org/10.2172/1482085· OSTI ID:1482085
 [1];  [2];  [2];  [2];  [2];  [2];  [2];  [2];  [2];  [2];  [2];  [2];  [2]
  1. Univ. of North Dakota, Grand Forks, ND (United States). Energy & Environmental Research Center; University of North Dakota Energy & Environmental Reseach Center
  2. Univ. of North Dakota, Grand Forks, ND (United States). Energy & Environmental Research Center
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The monitoring data generated at a CO2 storage site can quickly result in large amounts of data, often requiring significant labor- and time-intensive efforts to process and analyze before being able to make operational decisions. Implementing an intelligent monitoring system (IMS) can reduce the associated data-processing and analysis costs, which can thereby improve the efficiency of the monitoring process and enable real-time operational decision-making. The Energy & Environmental Research Center (EERC) has completed a 3-year project focused on developing an IMS comprising new workflows, algorithms, and a user interface for the automation and integration of geologic carbon dioxide (CO2) storage site-monitoring and simulation data. The design for the IMS was based on using injection and monitoring data acquired from Aquistore, an operating CO2 storage project. Managed by the Petroleum Technology Research Centre, the Aquistore Project is injecting CO2 captured from SaskPower’s coal-fired Boundary Dam Power Station into a deep saline formation for geologic storage. Using data from the Aquistore Project provided a real-world basis to develop an IMS.
Research Organization:
University of North Dakota Energy & Environmental Research Center
Sponsoring Organization:
USDOE
DOE Contract Number:
FE0026516
OSTI ID:
1482085
Report Number(s):
2018-EERC--11-19
Country of Publication:
United States
Language:
English

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