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基于时序InSAR的辽河油田地表形变监测及储层参数多模型反演

Surface Deformation Monitoring and Multi-Model Inversion of ReservoirParameters in Liaohe Oilfield Based on Time-Series InSAR
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摘要 为获取辽河油田核心产区最新的地表形变与储层参数,基于2021-01~2023-06的Sentinel-1升轨影像,使用StaMPS-SBAS方法提取该区域地表形变。以形变速率结果为观测量,使用复合位错模型、Mogi模型和Okada模型对储层参数进行反演,并与已有研究进行对比分析。结果表明,研究区LOS向形变速率为-165.84~54.52 mm/a,研究时段内最大累积沉降量(LOS向)约为400 mm。区内存在3个显著沉降区,分别为曙光采油厂、欢喜岭采油厂和锦州采油厂,其中曙光采油厂存在一定的沉降减缓趋势,其余采油厂均存在沉降加速趋势。不同模型反演的储层参数存在明显差异,与Okada模型、Mogi模型相比,复合位错模型反演的储层深度(1 665.21 m)与实际最为接近(约1 600 m),且复合位错模型模拟的形变与观测形变最为吻合。 Based on the Sentinel-1 ascending image from January 2021 to June 2023,we use the StaMPS-SBAS method to obtain the surface deformation of the core production area of Liaohe Oilfield.Based on the deformation rate results,we use the composite dislocation,Mogi and Okada models to invert the reservoir parameters,comparing our results with existing research.The results show that the LOS deformation rate in the study area is-165.84 to 54.52 mm/a,and the maximum cumulative settlement(LOS direction)during the research period is about 400 mm.There are three significant subsidence areas in the area,namely Shuguang oil production plant,Huanxiling oil production plant and Jinzhou oil production plant.Shuguang oil production plant has a subsidence deceleration trend,while the other oil production plants have a subsidence acceleration trend.There are obvious differences in the reservoir parameters inverted by different models.Compared with the Okada and Mogi models,the reservoir depth inverted by the composite dislocation model(1665.21 m)is the closest to the actual(about 1600 m).Moreover,the deformation simulated by the composite dislocation model is most consistent with the observed deformation.
作者 于冰 牛童 蔡锐 黄雷 王金日 张椿雨 YU Bing;NIU Tong;CAI Rui;HUANG Lei;WANG Jinri;ZHANG Chunyu(School of Civil Engineering and Geomatics,Southwest Petroleum University,Chengdu 610500,China;State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation,Southwest Petroleum University,Chengdu 610500,China;Institute of Petroleum and Natural Gas Spatial Information Engineering,Southwest Petroleum University,Chengdu 610500,China;State Key Laboratory of Information Engineering in Surveying,Mapping and Remote Sensing,Wuhan University,Wuhan 430079,China)
出处 《大地测量与地球动力学》 CSCD 北大核心 2024年第9期937-944,950,共9页 Journal of Geodesy and Geodynamics
基金 四川省自然科学基金(2023NSFSC0265,2022NSFS1113) 国家自然科学基金(41801399) 地质灾害防治与地质环境保护国家重点实验室开放基金(SKLGP2023K019) 西南石油大学油气藏地质及开发工程国家重点实验室开放基金(PLN201815)。
关键词 辽河油田 StaMPS方法 复合位错模型 Mogi模型 Okada模型 参数反演 Liaohe Oilfield StaMPS method composite dislocation model Mogi model Okada model parameter inversion
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