Early Contractor Involvement and Observational Method Supported with Artificial Intelligence for Equitable Risk Management - NAT2024

- Organization:
- Society for Mining, Metallurgy & Exploration
- Pages:
- 9
- File Size:
- 218 KB
- Publication Date:
- Jun 23, 2024
Abstract
Effective risk management in major subsurface projects involves ways to mitigate adverse impacts to final design and construction approaches due to changed subsurface conditions. An Early Contractor Involvement (ECI) collaborated with Observational Method will be an effective contractual tool to address risk developed due to encountering differing site conditions. Observational Method (OM) can further be supported with artificial intelligence (AI) technologies with automated data-driven decision-making features in risk mitigation and implementation of proper design and construction approaches.
This paper presents collaborative applications of ECI, OM, machine learning, and risk baselining in risk management and productivity enhancement in tunneling projects.
Citation
APA:
(2024) Early Contractor Involvement and Observational Method Supported with Artificial Intelligence for Equitable Risk Management - NAT2024MLA: Early Contractor Involvement and Observational Method Supported with Artificial Intelligence for Equitable Risk Management - NAT2024. Society for Mining, Metallurgy & Exploration, 2024.