Monte Carlo modelling of large scale NORM sources using MCNP

Wallace, J.

doi:10.1016/j.jenvrad.2013.06.009

Cited by 10 publications

(9 citation statements)

References 7 publications

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“…The depth of the radioactive soil was taken to be 5 cm [12], and the diameter of the disk was set to be 35 m according to previous MCNP modeling work [7,13] to optimally simulate an open soil environment. The diagram as shown in Fig.…”

Section: Soil Modelmentioning

confidence: 99%

MCNP modeling of NORM dosimetry in the oil and gas industry

Wang

Landsberger

2016

J Radioanal Nucl Chem

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Naturally-occurring radioactive materials wastes in the oil and gas industry create a radioactive environment for the workers in the field. MCNP simulation conducted in this work provides a useful tool in terms of radiation safety design of the oil field, as well as validation and an important addition to in situ measurements. Furthermore, phantoms are employed to observe the dose distribution throughout the human body, demonstrating radiation effects on each individual organ.

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Section: Soil Modelmentioning

confidence: 99%

MCNP modeling of NORM dosimetry in the oil and gas industry

Wang

Landsberger

2016

J Radioanal Nucl Chem

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“…Above this plane, at a distance of 1 m and 0.15 m above the base of the cylinder, a High Pressure Ion Chamber (HPIC) Spherical Detector was modelled (based on a GE RSS131ER). Further details in relation to this model have been described previously (Wallace, 2013).…”

Section: Model Geometrymentioning

confidence: 99%

“…Earlier work (Wallace, 2013) has shown that the response due to increasing source size, through increasing the diameter of the source, is for the detected radiation level to increase initially but for that rate of increase to slow and approach some value asymptotically.…”

Section: Source Thicknessmentioning

confidence: 99%

“…The overall dimensions and relative positions of the pads were based upon the Monte Carlo modelling described in detail elsewhere (Wallace, 2013).…”

Section: Pad Sizementioning

confidence: 99%

“…The choice of suitable construction parameters for the calibration pads was based on Monte Carlo modelling of cylindrical homogeneous NORM spiked low density concrete to simulate soil densities (Wallace, 2013). samples were taken from the area where the pads were to be installed.…”

Section: Introductionmentioning

confidence: 99%

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