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Monitoring and analysing long-term vertical time-series deformation due to oil and gas extraction using multi-track SAR dataset: A study on lost hills oilfield

发布时间：2022-02-17

点击次数：

影响因子：5.933

DOI码：10.1016/j.jag.2022.102679

发表刊物：International Journal of Applied Earth Observation and Geoinformation

关键字：Long-term vertical deformations; Lost hills oilfield; Multi-track SAR; Multivariate polynomial regression.

摘要：The Lost Hills oilfield, located ∼70 km northwest of Bakersfield in the San Joaquin Valley, has a long history of oil/gas extraction, and it suffers from long-term ground deformation. Many SAR datasets include information about the Lost Hills oilfield over the past two decades. This study focused on calculating and analysing the long-term vertical ground deformation due to oil and gas extraction in the Lost Hills oilfield and proposed a new strategy inspired by the “Small Baseline Subset” idea for jointly processing multi-track SAR images to obtain long-term time-series deformations. The experimental results showed a maximum vertical deformation rate of 20 mm/year in the uplift region and –90 mm/year in the subsidence region of the Lost Hills field from August 1995 to September 2010, and the long-term vertical time-series deformations had a precision of 5 mm. In addition, a multivariate polynomial regression model was used to quantify the relationship between surface deformation volume changes and water, oil, and gas injection-production data. The results demonstrated that the relationship between the ground volume change and injection/production dataset in the subsidence region followed a multivariate linear model, whereas the uplift region satisfied a multivariate quadratic polynomial model. The modelling results provided a new perspective on interpreting ground deformation due to oil/gas extraction.

论文类型：期刊论文

论文编号：102679

学科门类：工学

一级学科：测绘科学与技术

文献类型：J

卷号：107

是否译文：否

发表时间：2022-01-15

收录刊物：SCI

发布期刊链接：https://www.sciencedirect.com/science/article/pii/S0303243422000058

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