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Updated: May 4, 2026

Measurements of Soil Carbon by Neutron-Gamma Analysis in Static and Scanning Modes
Published on: August 24, 2017
Improved density estimation via pair production correction and experimental validation in neutron gamma logging
Abolfazl Rafizade1, Seyed Abolfazl Hosseini2
1Department of Energy Engineering, Sharif University of Technology, Tehran, 8639-11365, Iran. Abalfazl_rafizade@yahoo.com.
This study presents a new neutron-gamma density (NGD) model that minimizes pair production errors. It improves density estimation accuracy, especially in geological formations with low hydrogen content.
Area of Science:
- Geophysics
- Nuclear Well Logging
- Computational Physics
Background:
- Neutron-gamma density (NGD) logging is crucial for geological formation analysis.
- Pair production effects can introduce significant errors in NGD-based density estimations.
- Accurate density measurements are vital for hydrocarbon exploration and reservoir characterization.
Purpose of the Study:
- To develop and validate an improved NGD model that mitigates pair production interference.
- To enhance the accuracy of density estimations, particularly in formations with low hydrogen content.
- To assess the influence of mudcake thickness and hydrogen weight fraction on NGD measurements.
Main Methods:
- Utilized MCNPX simulation software to model NGD tool interactions with geological formations.
- Analyzed neutron and gamma ray energy distributions and their response to varying parameters.
- Investigated the impact of mudcake thickness on gamma flux ratios.
- Conducted experimental benchmarking using a Californium-252 (Cf-252) source to validate simulation results.
Main Results:
- The improved NGD model effectively reduces errors associated with pair production.
- Demonstrated enhanced accuracy in density estimations for formations with hydrogen weight fractions below 10%.
- Simulation results were validated through experimental benchmarking, showing good agreement with real-world data.
Conclusions:
- The developed NGD model offers more accurate density measurements, particularly for low-hydrogen environments.
- The model shows promise for improving the reliability of NGD logging data.
- Further research may be beneficial to optimize the model for high hydrogen fraction scenarios.
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