摘要
锦州采油厂作为辽河三角洲地区的重要能源基地之一,油田开采活动频繁,地面沉降问题显著,对油田安全生产和周边基础设施构成严重威胁。基于2017—2021年Sentinel-1卫星的升降轨InSAR数据,利用小基线集时序InSAR分析技术获取了锦州采油厂的地表沉降速率和沉降时间序列;再利用升降轨融合分解方法提取了形变区域的垂直和东西向形变。结果表明:(1)锦州采油厂存在明显的沉降现象,油田区开采中心最大垂直沉降速率为50.9 mm/a;(2)锦州采油厂存在明显的水平位移,东西向水平位移指向油田沉降中心,最大水平位移速率为26.0 mm/a;(3)结合油藏压实沉降模型模拟了锦州采油厂的地表沉降,确定了油田开采活动与地表沉降的联系。
As one of the significant energy bases in the Liaohe Delta region,the Jinzhou Oilfield is subject to intense oil extraction activities,leading to significant surface subsidence issues that pose a severe threat to the safe production of oilfield and surrounding infrastructure.Based on the ascending and descending orbit interferometric synthetic aperture radar(InSAR)data from Sentinel-1 satellite from 2017 to 2021,we utilized the small baseline subset InSAR time series technique to acquire the surface deformation velocity and time series data of the Jinzhou Oilfield.Furthermore,we used a fusion decomposition method for ascending and descending orbits to extract the vertical and east-west directional deformations of deformation areas.The findings of this study indicate that①the Jinzhou Oilfield exhibits noticeable subsidence,with the maximum vertical subsidence speed at the extraction center of oilfield area reaching 50.9 mm/a.②The Jinzhou Oilfield experiences significant horizontal displacement,with east-west horizontal displacement directed towards the subsidence center of oilfield,reaching a maximum speed of 26.0 mm/a.③By integrating the reservoir compaction subsidence model,the surface subsidence of the Jinzhou Oilfield was simulated,establishing a link between oilfield extraction activities and surface subsidence.
作者
雷一鸣
唐伟
刘茂华
LEI Yiming;TANG Wei;LIU Maohua(College of Geoscience and Surveying Engineering,China University of Mining and Technology(Beijing),Beijing 100083,China;School of Transportation and Geomatics Engineering,Shenyang Jianzhu University,Shenyang 110168,China)
出处
《地理空间信息》
2025年第7期17-20,46,共5页
Geospatial Information
基金
国家自然科学基金资助项目(42374023)。
关键词
锦州采油厂
INSAR
地面沉降
时序分析
二维形变分解
the Jinzhou Oilfield
InSAR
surface subsidence
time series analysis
2D deformation decomposition