利用无人机和哨兵2号卫星获得的光谱数据来解决陆地油气勘探问题的可能性推理

S. Golubov
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摘要

利用安装在无人机(UAV)上的光谱仪获得的遥感数据和卫星数据来评估地质构造中是否存在碳氢化合物矿床的可能性,已经进行了研究、测试和实验证实。试验区选择为Vostochnorogintsevska地区(第聂伯-顿涅茨克盆地的Velikobubnivsky山谷),具有有效的油气矿床(HC),生产井和非生产井,研究路线位于非生产井和生产井之间。该地区的主要优势是1999年至2021年期间各种类型设备获得的地面测量和遥感初级数据处理结果的可用性。本研究将利用无人机多光谱相机获取的遥感数据与Sentinel-2卫星数据计算植被指数进行对比分析。认为这些资料相关性高,反映了HC矿床、构造活动断裂带的存在导致的植被状态变化,具有重要的指示价值。所得结果为有效利用无人机解决陆地油气勘探任务的方法结构提供了基础。
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Reasoning of the possibilities of using spectrometric data obtained from UAVs and the Sentinel-2 satellite to solve oil and gas exploration problems on land
Research, testing and experimental substantiation of the possibility of using remote sensing data obtained from a spectrometer installed on an unmanned aerial vehicle (UAV) and satellite data to assess the presence of hydrocarbon deposits within geological structures has been carried out. The test area was chosen as the Vostochnorogintsevska area (Velikobubnivsky Val of the Dnipro-Donetsk Basin) with available hydrocarbon deposits (HC), productive and unproductive wells, the research route was laid between unproductive and productive wells. The main advantage of this territory is the availability of the results of processing primary data of ground measurements and remote sensing obtained by various types of equipment from 1999 to 2021. The study is devoted to the comparative analysis of vegetation indices, which are calculated from remote data obtained by a multispectral camera mounted on an UAV and Sentinel-2 satellite data. It was determined that these data have a high degree of correlation, reflect changes in the state of vegetation, caused by the presence of HC deposits, tectonically active fault zones, and have significant indicative value. The obtained results provide a basis for the effective use of UAVs in the structure of the methodology for solving oil and gas exploration tasks on land.
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