Inspect: a decision helping tool for in-situ probe selection in D&D activities
Frédéric Aspe1, Amaury Houzelot1, Khalil Amgarou2
1Onet Technologies Mesures Nucléaires-Direction Technique, 970 Chemin des agriculteurs, 26701 Pierrelatte, France.
Radiation Protection Dosimetry
|May 24, 2023
Summary
A new tool, INSPECT (In-Situ Probe SelECtion Tool), helps select appropriate in-situ measurement equipment for nuclear decommissioning. It analyzes constrained environments to ensure effective radiological characterization during dismantling processes.
Area of Science:
- Nuclear Engineering
- Radiological Protection
- Environmental Science
Background:
- Nuclear facilities require specialized methods for in-situ measurements during decommissioning and dismantling (D&D).
- Constrained environments within these facilities pose significant challenges to existing measurement methodologies.
- The INSIDER European project addresses the need for optimized D&D processes.
Purpose of the Study:
- To analyze the suitability of current in-situ measurement techniques for nuclear D&D.
- To identify and characterize constrained environments impacting measurement accuracy.
- To develop a decision-support tool for selecting appropriate in-situ equipment.
Main Methods:
- Comprehensive analysis of in-situ measurement methodologies.
- Study of various constrained environments and their impact on measurements.
- Development of a software-based decision-helping tool.
Main Results:
- Identification of limitations in existing methodologies for constrained environments.
- Development of the INSPECT (In-Situ Probe SelECtion Tool) software.
- The tool provides guidance for selecting suitable in-situ equipment based on D&D phase and environment.
Conclusions:
- INSPECT facilitates informed equipment selection for radiological characterization in nuclear D&D.
- The tool enhances the efficiency and reliability of in-situ measurements in challenging nuclear environments.
- It supports safe and effective decommissioning operations by optimizing instrumentation choices.


