克拉玛依油田SBAS-DInSAR长时序形变监测

doi:10.11885/j.issn.1674-5086.2021.01.11.02

西南石油大学学报(自然科学版) ›› 2022, Vol. 44 ›› Issue (5): 23-34.DOI: 10.11885/j.issn.1674-5086.2021.01.11.02

克拉玛依油田SBAS-DInSAR长时序形变监测

于冰^1,2,3,4,5, 佘杰^1,6, 赵金洲², 张过⁴, 周志伟⁵

1. 西南石油大学土木工程与测绘学院, 四川成都 610500;
2. 油气藏地质及开发工程国家重点实验室·西南石油大学, 四川成都 610500;
3. 西南石油大学油气空间信息工程研究所, 四川成都 610500;
4. 武汉大学测绘遥感信息工程国家重点实验室, 湖北武汉 430079;
5. 中国科学院精密测量科学与技术创新研究院大地测量与地球动力学国家重点实验室, 湖北武汉 430077;
6. 绵阳市安州区水利发展中心, 四川绵阳 622650

收稿日期:2021-01-11 发布日期:2022-10-28
通讯作者: 于冰,E-mail:rs_insar_bingyu@163.com
作者简介:于冰，1985年生，男，汉族，山东菏泽人，副教授，博士，主要从事合成孔径雷达干涉测量与形变监测、高分辨率遥感自然和人文环境监测方面的研究工作。E-mail：rs_insar_bingyu@163.com;
佘杰，1997年生，男，汉族，四川绵阳人，硕士，主要从事合成孔径雷达油气田形变监测及储层参数反演等方面的研究工作。E-mail：jieshe_rs@163.com;
赵金洲，1962年生，男，汉族，湖北仙桃人，教授，博士生导师，主要从事油气田开采和增产新技术新理论方面的研究工作。E-mail：zhaojz@swpu.edu.cn;
张过，1976年生，男，汉族，河南南阳人，教授，博士生导师，主要从事国产测绘卫星高精度处理、星载SAR和InSAR高精度处理等方面的研究工作。E-mail：guozhang@whu.edu.cn;
周志伟，1983年生，男，汉族，江西抚州人，副研究员，博士，主要从事合成孔径雷达干涉测量方法及其在监测地球表面环境与工程变化中的应用研究。E-mail：zhiwei.zhou@apm.ac.cn
基金资助:
国家自然科学基金（41801399）；中国博士后科学基金（2019M653476）；测绘遥感信息工程国家重点实验室开放基金（18E01）；大地测量与地球动力学国家重点实验室开放基金（SKLGED2020–5–1–E）；油气藏地质及开发工程国家重点实验室开放基金（PLN201815）

Monitoring of Long Time Series Deformation in Karamay Oilfield Based on SBAS-DInSAR

YU Bing^1,2,3,4,5, SHE Jie^1,6, ZHAO Jinzhou², ZHANG Guo⁴, ZHOU Zhiwei⁵

1. School of Civil Engineering and Geomatics, Southwest Petroleum University, Chengdu, Sichuan 610500, China;
2. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, Sichuan 610500, China;
3. Institute of Petroleum and Natural Gas Spatial Information Engineering, Southwest Petroleum University, Chengdu, Sichuan 610500, China;
4. State Key Laboratory of Information Engineering in Surveying, Mapping & Remote Sensing, Wuhan University, Wuhan, Hubei 430079, China;
5. State Key Laboratory of Geodesy and Earth's Dynamics, Innovation Academy for Precision Measurement Science and Technology, Chinese Academy of Sciences, Wuhan, Hubei 430077, China;
6. Water Conservancy Development Center of Anzhou District, Mianyang, Sichuan 622650, China

Received:2021-01-11 Published:2022-10-28

摘要/Abstract

摘要： 采用SBAS-DInSAR技术获得了克拉玛依油田的年平均形变速率和长时序形变，利用兼顾均值和标准差的方法提取了高形变区，计算了由西向东和由北向南的形变梯度，分析了等时间间隔的累计形变量、高形变区所占比例、特征点沉降趋势。结果表明，研究区的形变区与石油开采区域有较高的一致性且形变多与油田开采及注水注气相关；形变在空间上表现为非均匀性，在时间上表现为非线性；研究区形变总体趋势仍在变化；特征点的累计形变表现为多样性，这与地面地物有着密切的相关性。SBAS-DInSAR技术对于广域长时序非线性的油田形变监测具有较好的可行性，可提供有效的技术支撑。

关键词: 克拉玛依油田, 地表形变监测, SBAS-DInSAR, 非线性形变, 油田开采, 长时序

Abstract: The authors obtain the annual average deformation rate and long time series deformation of the Karamay Oilfield with SBAS-DInSAR and then determine the high deformation area by taking into account the mean and standard deviation. By analyzing the results of the deformation gradients from west to east and from north to south, the cumulative deformation variables of equal time interval, the proportions of high deformation areas and the deformation trend of the characteristic points, it is found that the deformation area is highly consistent with the oil exploitation areas, and the deformation is more likely to take place during oil production and water and gas injection. Besides, the deformation is inhomogeneous in space and nonlinear in time and its overall trend in the study continues to change. Finally, the diversity reflected in the cumulative deformation of feature points is closely related to the surface features. The above results show that it is of great feasibility to apply SBAS-DInSAR to monitor long term nonlinear oilfield deformation.

Key words: Karamay Oilfield, surface deformation monitoring, SBAS-DInSAR, nonlinear deformation, oilfield exploitation, long time series

中图分类号:

TE122

于冰, 佘杰, 赵金洲, 张过, 周志伟. 克拉玛依油田SBAS-DInSAR长时序形变监测[J]. 西南石油大学学报(自然科学版), 2022, 44(5): 23-34.

YU Bing, SHE Jie, ZHAO Jinzhou, ZHANG Guo, ZHOU Zhiwei. Monitoring of Long Time Series Deformation in Karamay Oilfield Based on SBAS-DInSAR[J]. Journal of Southwest Petroleum University(Science & Technology Edition), 2022, 44(5): 23-34.

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克拉玛依油田SBAS-DInSAR长时序形变监测

Monitoring of Long Time Series Deformation in Karamay Oilfield Based on SBAS-DInSAR

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