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A Novel Semiautomatic Interpretation Model for Impulse Neutron Oxygen Activation Time Spectrum Data
Yong Dong1, Mengxia Li2,3, Ruiquan Liao3,4
1School of Information and Mathematics, Yangtze University, Jingzhou 434023, China.
This study introduces an adaptive model for impulse neutron oxygen activation time spectrum analysis. It automates background segment selection, reducing manual labor and maintaining interpretation precision for transit time and volume flow.
Area of Science:
- Nuclear geophysics
- Formation evaluation
Background:
- Manual interpretation of impulse neutron oxygen activation time spectra is labor-intensive.
- Existing models lack adaptive capabilities for peak and background range selection.
Purpose of the Study:
- To develop an adaptive interpretation model for impulse neutron oxygen activation time spectra.
- To reduce manual labor and maintain interpretation precision in spectral analysis.
Main Methods:
- Proposed an adaptive selection rule for the background segment.
- Developed a semiautomatic interpretation model combining the adaptive background segment rule and existing background segment interpretation models.
- Implemented an algorithm to automatically determine the background segment and calculate transit time and volume flow.
Main Results:
- The adaptive model successfully determined the background segment without manual intervention.
- The semiautomatic model retained the interpretation precision of traditional background interpretation models.
- Labor intensity for interpretation operators was significantly reduced.
Conclusions:
- The developed semiautomatic interpretation model offers an efficient and precise method for analyzing impulse neutron oxygen activation time spectra.
- Adaptive background segment selection enhances the usability of spectral analysis tools in formation evaluation.
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