机载痕量气体遥感和地面移动原位:一种研究生产油田构造地质控制的新工具

I. Leifer, C. Melton, D. Tratt, K. Buckland
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引用次数: 0

摘要

准确、有代表性地测定石油和天然气(O&G)生产设施的温室气体(GHG)需要高空间分辨率的数据,这些数据可以通过机载成像光谱仪获得。然而,非甲烷碳氢化合物排放的评估远不适合遥感,需要移动地面现场测量(例如,移动空气质量实验室)。2018年9月14日,对加利福尼亚州三个相邻的生产油田(Poso Creek、Kern Front和Kern River)进行了现场测量和机载热红外光谱成像。此外,在附近一座山上的剖面收集了圆山油田的现场数据。羽流甲烷/乙烷比值在油田不同区域具有一致性,而不同区域之间的差异与油田地质构造有关。2015年和2018年机载热红外成像光谱仪Mako获得的数据显示,大多数排放物来自Kern Front和Poso Creek油田的远处羽流。探测到的羽流的空间分布与断层,特别是活动断层密切相关,这些断层被认为对基础设施造成压力,导致更高的逸散排放和/或自然迁移途径(渗漏)排放。此外,探测到的羽流的空间分布表明未映射的断层。因此,高灵敏度成像光谱可以提高对影响油气运移和油田作业的储层地质结构的理解,凸显了一种新型储层管理工具的潜力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Airborne Trace Gas Remote Sensing and Surface Mobile In Situ: A Novel Tool for the Study of Structural Geological Controls from a Producing Oil Field
Accurate and representative determination of greenhouse gases (GHG) from oil and gas (O&G) production facilities requires high-spatial-resolution data, which can be acquired by airborne imaging spectrometers. However, assessment of nonmethane hydrocarbon emissions, which are far less amenable to remote sensing, requires mobile surface in-situ measurements (e.g., a mobile air quality laboratory). Field in-situ measurements and airborne thermal infrared spectral imagery were acquired for three producing California oil fields (Poso Creek, Kern Front, and Kern River) located next to each other on 14 September 2018. In addition, a profile ascending a nearby mountain collected in-situ data for the Round Mountain oilfield. Plume methane to ethane ratios were consistent within different regions of the field and differed between these fields in a manner related to field geological structures. Data acquired by an airborne thermal infrared imaging spectrometer, Mako, in 2015 and 2018 showed most emissions were from distant plumes in the Kern Front and Poso Creek fields. The spatial distribution of detected plumes was strongly related to faults, particularly active faults, which are proposed to stress infrastructure, leading to higher fugitive emissions and/or emissions from natural migration pathways (seepage). Additionally, the spatial distribution of detected plumes suggested unmapped faults. Thus, high-sensitivity imaging spectroscopy can improve understanding of reservoir geological structures that impact hydrocarbon migration and field operations, highlighting the potential for a novel reservoir management tool.
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