Automated Author ProfileBo, Chang
International Academy of Neutron Science
Bo, Chang
Current S-Index
Sum of Dataset Indices for all datasets
Average Dataset Index per Dataset
Average Dataset Index per dataset
Total Datasets
Total datasets for this author
Average FAIR Score
Average FAIR Score per dataset
Total Citations
Total citations to the author's datasets
Total Mentions
Total mentions of the author's datasets
S-Index Interpretation
The S-Index (Sharing Index) is a comprehensive metric that represents the cumulative impact of all your datasets. It is calculated as the sum of Dataset Index scores across all your claimed datasets.
What it means:
- A higher S-index indicates greater overall impact of your datasets relative to typical datasets in their fields of research
- The S-Index grows as you add more datasets or as existing datasets gain more citations and mentions
- It provides a single number to track your research data impact over time
Current S-Index: 0.2 (sum of 1 dataset Dataset Index scores)
More information here.
S-Index Over Time
Cumulative Citations Over Time
Cumulative Mentions Over Time
Datasets
There has been a growing interest in the application of a controllable neutron source for the purpose of measuring formation porosity in the advancement of nuclear logging. The existing porosity algorithm, which is based on the thermal neutron counting rate, shows a lower sensitivity in the high porosity region. To enhance the sensitivity, the effects of elastic and inelastic scattering, which influence the slowing-down of fast neutrons are theoretically analyzed, and a slowing-down model of fast neutrons is created. Based on this model, a density correction porosity algorithm is proposed according to relationship between density, thermal neutron counting ratio and porosity. Finally, the Super Multi-functional Calculation Program for Nuclear Design and Safety Evaluation (TopMC/SuperMC), was used to create a simulation model for porosity logging and the applicability was examined. The result shows that the relative error between the calculated porosity and the actual porosity is less than 1%, and the influence of deviation in the density measurement is less than 2%. Therefore, the proposed density correction algorithm based on the slowing-down model of fast neutrons can effectively improve the sensitivity in the high porosity region. This study has certain reference significance for the application of neutron porosity measurement with D-T neutron sources
Authors
- Shaoheng, Zhou ;
- Yinglong, Tao ;
- Bo, Chang ;
- Lijuan, Hao ;
- Jieqiong, Jiang ;
- Yazhou, Li ;
- Fang, Wang ;
- Quan, Gan