ANS is committed to advancing, fostering, and promoting the development and application of nuclear sciences and technologies to benefit society.
Explore the many uses for nuclear science and its impact on energy, the environment, healthcare, food, and more.
Explore membership for yourself or for your organization.
Conference Spotlight
2026 ANS Annual Conference
May 31–June 3, 2026
Denver, CO|Sheraton Denver
Latest Magazine Issues
Feb 2026
Jul 2025
Latest Journal Issues
Nuclear Science and Engineering
March 2026
Nuclear Technology
February 2026
Fusion Science and Technology
January 2026
Latest News
Mirion announces appointments
Mirion Technologies has announced three senior leadership appointments designed to support its global nuclear and medical businesses while advancing a company-wide digital and AI strategy. The leadership changes come as Mirion seeks to advance innovation and maintain strong performance in nuclear energy, radiation safety, and medical applications.
John Avis (Geofirma Eng), Erik Kremer (NWMO)
Proceedings | 16th International High-Level Radioactive Waste Management Conference (IHLRWM 2017) | Charlotte, NC, April 9-13, 2017 | Pages 246-254
The Nuclear Waste Management Organization (NWMO) is responsible for the implementation of Adaptive Phased Management, the federally-approved plan for the safe long-term management of Canada’s used nuclear fuel. Under this plan, used nuclear fuel will ultimately be placed within a deep geological repository in a suitable host rock formation.
The NWMO recently completed a study illustrating the postclosure safety of a hypothetical used fuel repository in a crystalline host formation. The Base Case scenario assumes that undetected defects in used fuel containers lead to the release of radionuclides to the geosphere. The primary pathway to the biosphere is through a water supply well. To be conservative, the scenario assumes that the well and the defective containers are located such that radionuclide transport to the well is maximized.
In a complex faulted flow system, the most consequential locations for used fuel container failures and the water supply well are not obvious. This paper presents a robust approach to identifying the most consequential well-source location pairs. The approach relies on a mixture of numerical methods and the availability of cluster-computing capabilities. A refined “brute-force” approach simulates total repository failure with complete but coarse spatial coverage of all possible well locations. Spatially segregated groups of possible high-consequence well locations are extracted and associated potential high-consequence container failure locations determined. Well and container locations are refined and permutations evaluated until maximum well transport is determined within the resolution of the numeric grid.