Modeling of NORM dosimetry in onshore oilfields using Monte Carlo methods
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Date
2016-12
Authors
Wang, Siqiu
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Abstract
NORM wastes generated in the oil and gas industry create a radioactive environment for the workers in the field. Modeling and understanding the radiation doses contributed by NORM is important in regard to radiation safety. Utilizing the Monte Carlo N-Particle code (MCNP), this work aims to provide a general estimate of the radiation dosage received by the workers. Three models are constructed to simulate the major NORM sources in an onshore oilfield: soil, scale, and sludge. A human phantom is employed to record the absorbed dose rate in each body component. The whole-body dose rate is also observed and compared with current regulations.