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Title: DEVELOPMENT OF INTELLIGENT MONITORING SYSTEM (IMS) MODULES FOR THE AQUISTORE CO2 STORAGE PROJECT

Abstract

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. The IMS consists of a database that stores the monitoring measurements (IMS Database) and a graphical user interface (IMS GUI) used to retrieve data from that database. Lastly, the IMS Workflow defines the linkage between the IMS GUI and the IMS Database. The IMS GUI is divided intomore » seven modules that address specific aspects of the monitoring system: Module 1 – Well Monitoring Measurements, Module 2 – Distributed Temperature System Measurements, Module 3 – BHT and BHP Analysis, Module 4 – DTS Analysis, Module 5 – Continuous Modeling Refinement Analysis, Module 6 – CO2 Plume Boundary, and Module 7 – System Evaluation. Compared with the traditional manual processing, interpretation, and integration workflows, this IMS allows a carbon capture and storage (CCS) site operator to more efficiently monitor and manage CO2 injection and subsurface conditions. This technology advanced the state-of-the-science for IMSs and contributes to the U.S. Department of Energy Carbon Storage Program goals of developing and validating technologies to ensure CO2 storage permanence and to improve reservoir storage efficiency while ensuring containment effectiveness. This report discusses the injection and monitoring data used to develop the IMS; describes the database, data workflow, IMS programming and system requirements, and modules included in the IMS; and provides examples from the IMS interface and its outputs.« less

Authors:
; ; ; ; ; ; ; ; ; ; ; ;
Publication Date:
Research Org.:
University of North Dakota Energy & Environmental Research Center
Sponsoring Org.:
USDOE
OSTI Identifier:
1482085
Report Number(s):
2018-EERC-11-19
DOE Contract Number:  
FE0026516
Resource Type:
Technical Report
Country of Publication:
United States
Language:
English

Citation Formats

Azzolina, Nicholas, Torres, José, Chimote, Saurabh, Pekot, Lawrence, Burton-Kelly, Matthew, Dotzenrod, Neil, Bosshart, Nicholas, Dalkhaa, Chantsalmaa, Ayash, Scott, Li, Chunxiao, Nakles, David, Gorecki, Charles, and Vettleson, Heidi. DEVELOPMENT OF INTELLIGENT MONITORING SYSTEM (IMS) MODULES FOR THE AQUISTORE CO2 STORAGE PROJECT. United States: N. p., 2018. Web. doi:10.2172/1482085.
Azzolina, Nicholas, Torres, José, Chimote, Saurabh, Pekot, Lawrence, Burton-Kelly, Matthew, Dotzenrod, Neil, Bosshart, Nicholas, Dalkhaa, Chantsalmaa, Ayash, Scott, Li, Chunxiao, Nakles, David, Gorecki, Charles, & Vettleson, Heidi. DEVELOPMENT OF INTELLIGENT MONITORING SYSTEM (IMS) MODULES FOR THE AQUISTORE CO2 STORAGE PROJECT. United States. doi:10.2172/1482085.
Azzolina, Nicholas, Torres, José, Chimote, Saurabh, Pekot, Lawrence, Burton-Kelly, Matthew, Dotzenrod, Neil, Bosshart, Nicholas, Dalkhaa, Chantsalmaa, Ayash, Scott, Li, Chunxiao, Nakles, David, Gorecki, Charles, and Vettleson, Heidi. Wed . "DEVELOPMENT OF INTELLIGENT MONITORING SYSTEM (IMS) MODULES FOR THE AQUISTORE CO2 STORAGE PROJECT". United States. doi:10.2172/1482085. https://www.osti.gov/servlets/purl/1482085.
@article{osti_1482085,
title = {DEVELOPMENT OF INTELLIGENT MONITORING SYSTEM (IMS) MODULES FOR THE AQUISTORE CO2 STORAGE PROJECT},
author = {Azzolina, Nicholas and Torres, José and Chimote, Saurabh and Pekot, Lawrence and Burton-Kelly, Matthew and Dotzenrod, Neil and Bosshart, Nicholas and Dalkhaa, Chantsalmaa and Ayash, Scott and Li, Chunxiao and Nakles, David and Gorecki, Charles and Vettleson, Heidi},
abstractNote = {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. The IMS consists of a database that stores the monitoring measurements (IMS Database) and a graphical user interface (IMS GUI) used to retrieve data from that database. Lastly, the IMS Workflow defines the linkage between the IMS GUI and the IMS Database. The IMS GUI is divided into seven modules that address specific aspects of the monitoring system: Module 1 – Well Monitoring Measurements, Module 2 – Distributed Temperature System Measurements, Module 3 – BHT and BHP Analysis, Module 4 – DTS Analysis, Module 5 – Continuous Modeling Refinement Analysis, Module 6 – CO2 Plume Boundary, and Module 7 – System Evaluation. Compared with the traditional manual processing, interpretation, and integration workflows, this IMS allows a carbon capture and storage (CCS) site operator to more efficiently monitor and manage CO2 injection and subsurface conditions. This technology advanced the state-of-the-science for IMSs and contributes to the U.S. Department of Energy Carbon Storage Program goals of developing and validating technologies to ensure CO2 storage permanence and to improve reservoir storage efficiency while ensuring containment effectiveness. This report discusses the injection and monitoring data used to develop the IMS; describes the database, data workflow, IMS programming and system requirements, and modules included in the IMS; and provides examples from the IMS interface and its outputs.},
doi = {10.2172/1482085},
journal = {},
number = ,
volume = ,
place = {United States},
year = {2018},
month = {11}
}