NRAP-Open-IAM

About

NRAP-Open-IAM is an open source Integrated Assessment Model (IAM) developed by the National Risk Assessment Partnership (NRAP) to perform risk assessment for geologic CO2 storage (GCS). The goal of NRAP-Open-IAM is to extend beyond risk assessment into risk management and containment assurance. NRAP-Open-IAM builds on many years of NRAP tool development for risk assessment, including the NRAP-IAM-CS also developed by the NRAP project. The NRAP-Open-IAM builds on the functionality of NRAP-IAM-CS within an open-source Python framework allowing NRAP-Open-IAM to: 1) take advantage of standard Python libraries and other open source analytical libraries written in Python; 2) be applied on multiple platforms; 3) have more flexible options of selecting modules for a specific study; and 4) give advanced users the option to modify the IAM to fit their need as well as enhancing the potential for community contributions to the software. The implementation of the reduced-order models and analytical tools within the NRAP-Open-IAM makes the risk assessment process computationally efficient enough to simulate an operational CO2 storage site, potential events and various scenarios in a probabilistic/ensemble manner. The NRAP-Open-IAM is equipped with capabilities to: 1) inform monitoring design; 2) assess model concordance to measured field data; 3) evaluate mitigation alternatives; and 4) provide probabilistic risk assessment and update the risk as new data becomes available.

Obtain Software

Source code:

Installation Guide

Source code:

  • Installation instructions for PC/Mac/Linux are in the `installers` folder. They can be viewed here: https://gitlab.com/NRAP/OpenIAM/-/tree/master/installers
  • Test of installation can be done by running `python openiam_setup_tests.py` in the `setup` folder.
  • To run the full test suite, run `python iam_test.py` in the `test` folder.

Run GUI as Docker container:

  • Install Docker: https://docs.docker.com/get-docker/
  • On MacOS/Linux, at command prompt, enter:
  • `xhost + 127.0.0.1`
  • `docker run -e DISPLAY=host.docker.internal:0 -v $(pwd)/output:/output dharp/openiam-gui:beta`

Tool Support

Related References

A User Manual is provided with the source code and can be accessed online here: https://gitlab.com/NRAP/OpenIAM/-/blob/master/User_Guide.pdf
Or here (login required): https://edx.netl.doe.gov/dataset/a3674794-c093-48b6-a097-b4fbeff7dd0c/resource/8fda9bea-b46e-4601-bdf3-7ebb56365acc

Publications:
G. Lackey, V. Vasylkivska, N. Huerta, S. King, R. Dilmore (2019), Managing well leakage risks at a geologic carbon storage site with many wells, International Journal of Greenhouse Gas Control, 88 :182-194. https://doi.org/10.1016/j.ijggc.2019.06.011

Bacon, Diana H., Catherine MR Yonkofski, Christopher F. Brown, Deniz I. Demirkanli, and Jonathan M. Whiting. “Risk-based post injection site care and monitoring for commercial-scale carbon storage: Reevaluation of the FutureGen 2.0 site using NRAP-Open-IAM and DREAM.” International Journal of Greenhouse Gas Control 90 (2019): 102784.

Harp, Dylan R., Curtis M. Oldenburg, and Rajesh Pawar. “A metric for evaluating conformance robustness during geologic CO2 sequestration operations.” International Journal of Greenhouse Gas Control 85 (2019): 100-108.

Presentations:
Chen, Bailian, Dylan R. Harp, and Rajesh Pawar. “A Data Assimilation Approach (ES-MDA) Coupling with NRAP-Open-IAM for Quantifying Uncertainty Reduction in Geological CO2 Sequestration.” AGUFM 2019 (2019): T44A-02.

Chen, Bailian, and Dylan Harp. “Improving Risk Analysis Precision for Geologic Co2 Sequestration by Quantifying the Uncertainty Reduction Before and after Acquiring Monitoring Data.” In 14th Greenhouse Gas Control Technologies Conference Melbourne, pp. 21-26. 2018.

Harp, Dylan Robert. National Risk Assessment Partnership Task 2: Containment Assurance. No. LA-UR-19-28654. Los Alamos National Lab.(LANL), Los Alamos, NM (United States), 2019.

V. Vasylkivska, S. King, D. Bacon, D. Harp, B. Chen, K. Mansoor, T. Onishi, Y. Yang, Y. Zhang, E. Keating, NRAP OpenIAM: An open-source integrated assessment model, poster, 2018 Mastering the Subsurface Through Technology Innovation, Partnerships and Collaboration: Carbon Storage and Oil and Natural Gas Technologies Review Meeting, Pittsburgh, PA, August 13-16, 2018.

V. Vasylkivska, G. Lackey, S. King, A. Wentworth, N. Huerta, C. Creason, J. DiGiulio, Y. Yang, R. Dilmore, Long-term risk analysis of a geologic CO2 storage project during the post-injection period, SIAM Conference on Computational Science and Engineering, Spokane, WA, February 25-March 1, 2019.
V. Vasylkivska. Overview of the NRAP-Open-IAM tool for Carbon Storage (beta release), 2019 Annual NRAP Tool Users Meeting, Pittsburgh, PA, August 27, 2019

Technical reports:
White, Signe K., Diana H. Bacon, Inci Demirkanli, and Susan Carroll. Assessment of the Area of Review and Leakage Impact for Site 7 using the NRAP-IAM-CCS Tool, Northern Michigan Basin-CarbonSAFE Phase 1 Pre-Feasibility Study. No. LLNL-TR-753788. Lawrence Livermore National Lab.(LLNL), Livermore, CA (United States); Pacific Northwest National Lab.(PNNL), Richland, WA (United States), 2018.