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A satellite-based analysis of the Val d'Agri Oil Center (southern Italy) gas flaring emissions

机译:对瓦勒达格里石油中心(意大利南部)的瓦斯燃烧产生的排放进行卫星分析

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摘要

In this paper, the robust satellite techniques (RST), a multi-temporal scheme of satellite data analysis, was implemented to analyze the flaring activity of the Val d'Agri Oil Center (COVA), the largest Italian gas and oil pre-treatment plant, owned by Ente Nazionale Idrocarburi (ENI). For this site, located in an anthropized area characterized by a large environmental complexity, flaring emissions are mainly related to emergency conditions (i.e., waste flaring), as industrial processes are regulated by strict regional laws. While regarding the peculiar characteristics of COVA flaring, the main aim of this work was to assess the performances of RST in terms of sensitivity and reliability in providing independent estimations of gas flaring volumes in such conditions. In detail, RST was implemented for 13 years of Moderate Resolution Imaging Spectroradiometer (MODIS) medium and thermal infrared data in order to identify the highly radiant records associated with the COVA flare emergency discharges. Then, using data provided by ENI about gas flaring volumes in the period 2003-2009, a MODIS-based regression model was developed and tested. The results achieved indicate that the such a model is able to estimate, with a good level of accuracy (R-2 of 0.83), emitted gas flaring volumes at COVA.
机译:本文采用了稳健的卫星技术(RST)(一种多时相的卫星数据分析方案)来分析意大利最大的天然气和石油预处理法瓦格里阿格里石油中心(COVA)的燃烧活动该工厂由Ente Nazionale Idrocarburi(ENI)所有。对于这个位于环境复杂度高的人为区域的场地,由于工业过程受到严格的区域法律的管制,燃烧物排放主要与紧急情况有关(例如,燃烧物燃烧)。考虑到COVA扩口的特殊特性,这项工作的主要目的是评估RST在灵敏度和可靠性方面的性能,以便在这种情况下对燃气扩口量进行独立估计。详细而言,RST已实施13年的中分辨率成像光谱仪(MODIS)介质和热红外数据,以识别与COVA火炬紧急放电相关的高辐射记录。然后,使用ENI提供的有关2003-2009年期间天然气燃烧量的数据,开发并测试了基于MODIS的回归模型。取得的结果表明,这种模型能够以良好的准确性水平(R-2为0.83)估算COVA处的排放气体燃烧量。

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