Gamma-ray yield dependence on bulk density and moisture content of a sample of a PGNAA setup: A Monte Carlo study

2007 ◽  
Vol 271 (3) ◽  
pp. 691-695 ◽  
Author(s):  
M. M. Nagadi ◽  
A. A. Naqvi
2018 ◽  
Vol 45 ◽  
pp. S2 ◽  
Author(s):  
C. Panaino ◽  
M.J. Taylor ◽  
R. MacKay ◽  
M.J. Merchant ◽  
T. Price ◽  
...  

Geophysics ◽  
2020 ◽  
Vol 85 (6) ◽  
pp. D219-D232
Author(s):  
Hu Wang ◽  
Wensheng Wu ◽  
Tianzhi Tang ◽  
Ruigang Wang ◽  
Aizhong Yue ◽  
...  

Formation density is one of the most important parameters in formation evaluation. Radioisotope chemical sources are used widely in conventional gamma-gamma density (GGD) logging. Considering security and environmental risks, there has been growing interest in pulsed neutron generators in place of the radioactive-chemical source in using bulk-density measurements. However, there still is the requirement of high accuracy of the neutron-gamma density (NGD) calculation. Pair production is one of the factors influencing the accuracy of the results, which should be considered. We have adopted a method, based on the difference between the inelastic gamma-ray response of high- and low-energy windows, to reduce the impact of pair production upon calculating the bulk density. A new density estimation algorithm is derived based on the coupled-field theory and gamma-ray attenuation law in NGD logging. We analyze the NGD measurement accuracy with different mineral types, porosity, and pore fluid and determine the influence of the borehole environment on NGD logging. The Monte Carlo simulation results indicate that the improved processing algorithm limits the influence of the mineral type, porosity, or pore fluid. The NGD measurement accuracy is ±0.025 g/cm3 in shale-free formations, which is close to the GGD measurement (±0.015 g/cm3). Our results also show that the borehole environment has a significant impact on NGD measurement. Therefore, it is necessary to take the influence of the borehole parameters into account in NGD measurements. Combined with Monte Carlo simulation cases, we evaluate the application results of the new density estimation algorithm in various model wells.


1991 ◽  
Vol 11 (8) ◽  
pp. 343-347 ◽  
Author(s):  
G. Malaguti ◽  
E. Caroli ◽  
A.J. Dean ◽  
G. Di Cocco ◽  
F. Lei ◽  
...  

2004 ◽  
Vol 218 ◽  
pp. 419-420
Author(s):  
P. Leung ◽  
K. S. Cheng ◽  
L. Zhang ◽  
Z. J. Jiang

We use Monte Carlo techniques to simulate the statistical properties of rotation-powered pulsars in the Gould Belt. The gamma-ray properties of these pulsars are calculated by using a self-consistent outer gap model and other pulsar properties, i.e., initial magnetic field and period, and velocity distribution of the neutrons stars at birth, are obtained from the statistics of radio pulsars. We obtain distributions of the magnetic inclination angle, period, distance and age for these gamma-ray pulsars in the Gould Belt.


Author(s):  
G. Weidenspointner ◽  
C. B. Wunderer ◽  
N. Barrière ◽  
A. Zoglauer ◽  
P. von Ballmoos

PLoS ONE ◽  
2021 ◽  
Vol 16 (6) ◽  
pp. e0252078
Author(s):  
Yadong Gao ◽  
Jiaming Li ◽  
Jichen Li ◽  
Linmao Liu

The PGNAA system for the cement measurement was simulated based on Monte Carlo method. The sizes of the moderator and reflector for the 14 MeV DT neutron generator were optimized for fast and thermal neutron outputs. The DT neutron generator was simulated at the pulse mode, and the gamma-ray detector was set as LaBr3(Ce) scintillator. The characteristic peaks of the major elements (Ca, Si, Al, Fe) can be identified from the gamma-ray spectra which induced at the different time intervals of the neutron radiation. For the different thicknesses of the cement sample the ratios of the gamma-ray peaks were observed, and the result showed that when the thickness was between 20 to 30 cm, the ratios became stable. With the ratios, we can calculate the iron modulus, silica modulus and lime saturation factor.


2016 ◽  
Vol 32 (10) ◽  
pp. 1271-1275 ◽  
Author(s):  
Han-Back Shin ◽  
Do-Kun Yoon ◽  
Joo-Young Jung ◽  
Moo-Sub Kim ◽  
Tae Suk Suh

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