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石油工业产生的天然放射性核素固体废物的特性分析。

Characterization of NORM solid waste produced from the petroleum industry.

作者信息

Al Attar Lina, Doubal Wael, Al Abdullah Jamal, Khalily Hussam, Abdul Ghani Basem, Safia Bassam

机构信息

a Department of Protection and Safety , Atomic Energy Commission of Syria , Damascus , P.O. Box 6091, Syria.

出版信息

Environ Technol. 2015 May-Jun;36(9-12):1104-13. doi: 10.1080/09593330.2014.982713. Epub 2014 Nov 26.

Abstract

The accumulation of scales in the production pipe lines is a common problem in the oil industry, reducing fluid flow and leading to costly remediation and disposal programmes. Thus, an accurate determination of the activity of the radionuclides in scale samples is essential for environmental protection. The present study focuses on the characterization of naturally occurring radioactive materials (NORM) in scales generated from the petroleum industry to develop a suitable NORM waste management plan. The activity concentrations of 226Ra, 228Ra and 210Pb in 32 representative samples, collected from a number of drums at the NORM Decontamination Facility storage, were determined using gamma spectrometry. It was found that the highest concentrations were 2922, 254 and 1794 Bq g(-1) for 226Ra, 228Ra and 210Pb, respectively. A comparison to the reported worldwide values was made. Statistical approaches, namely Box plot, ANOVA and principal components analysis were applied on the total results. Maximal correlation was demonstrated by 226Ra activity concentration and count per second (cps) to density ratio. To obtain an accurate characterization of the radionuclides studied in the scale samples, method validation of gamma measurement procedure was carried out, in which minimum detectable activity, repeatability, intermediate precision and assessment of uncertainty were the parameters investigated. The work is a forefront for the proper and safe disposal of such radioactive wastes.

摘要

生产管道中水垢的积累是石油工业中一个常见的问题,它会降低流体流量,并导致成本高昂的修复和处置计划。因此,准确测定水垢样品中放射性核素的活度对于环境保护至关重要。本研究重点关注石油工业产生的水垢中天然存在的放射性物质(NORM)的特性,以制定合适的NORM废物管理计划。使用伽马能谱法测定了从NORM去污设施储存处的多个桶中收集的32个代表性样品中226Ra、228Ra和210Pb的活度浓度。结果发现,226Ra、228Ra和210Pb的最高浓度分别为2922、254和1794 Bq g(-1)。与全球报告值进行了比较。对总结果应用了统计方法,即箱线图、方差分析和主成分分析。226Ra活度浓度与每秒计数(cps)与密度比之间显示出最大相关性。为了准确表征水垢样品中研究的放射性核素,对伽马测量程序进行了方法验证,其中研究的参数包括最低可检测活度、重复性、中间精密度和不确定度评估。这项工作是妥善安全处置此类放射性废物的前沿研究。

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