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Monitoring land motion due to natural gas extraction: validation of the intermittent SBAS (ISBAS) DInSAR algorithm over gas fields of North Holland, the Netherlands

机译:监测天然气开采引起的陆地运动:荷兰北荷兰省气田的间歇性SBAS(ISBAS)DInSAR算法的验证

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摘要

The differential interferometric synthetic aperture radar (DInSAR) remote sensing technique has proven to be invaluable in the remote monitoring of earth surface movements associated with the extraction and geostorage (subsurface injection) of natural resources (water, oil, gas). However, a significant limitation of this technique is the low density and uneven coverage that may be achieved over vegetated rural environments. The Intermittent Small Baseline Subset (ISBAS) method, an amended version of the established SBAS algorithm, has been designed to improve coverage over rural, vegetated, land cover classes by allowing for the intermittent coherence that is predominant in such areas. In this paper we perform a validation of the ISBAS method over an area of gas production and geostorage in North Holland, the Netherlands. Fortytwo ERS-2 (SAR) C-band images (1995-2000) and 63 ENVISAT (ASAR) C-band images (2003-2010) were processed using the ISBAS technique and the derived measurements enabled the identification of subsidence patterns in rural and urban areas alike. The dominant feature was an area of subsidence to the west of Alkmaar, attributed to natural gas production from the Bergermeer reservoir, where subsidence rates in the region of 3 mm/year were measured. Displacements derived using linear and non-linear surface deformation models were validated with respect to the first order system of levelling benchmarks which form the Amsterdam Ordnance Datum (NAP). It was established that ISBAS products were accurate to within 1.52 mm/year and 1.12 mm/year for the ERS and ENVISAT data sets respectively. Error budgets were comparable to results using persistent scatterers interferometry (PSI) during a validation activity carried out in the European Space Agency Terrafirma project. These results confirm the capability of the ISBAS method to provide a more regular sampling of land motion measurements over gas fields that may be critically used in future to infer the properties of buried, fluid-filled, porous rock.
机译:事实证明,差分干涉合成孔径雷达(DInSAR)遥感技术在远程监测与自然资源(水,石油,天然气)的开采和地质储存(地下注入)相关的地表运动方面具有无价的价值。但是,该技术的显着局限性是在植被茂密的农村环境中可能实现的低密度和不均匀覆盖。间歇性小基线子集(ISBAS)方法是已建立的SBAS算法的修订版,旨在通过允许在此类区域中占主导地位的间歇性连贯性,来提高对农村植被,土地覆盖类别的覆盖率。在本文中,我们对荷兰北荷兰省的天然气生产和地质存储区域的ISBAS方法进行了验证。使用ISBAS技术处理了42幅ERS-2(SAR)C波段图像(1995-2000年)和63幅ENVISAT(ASAR)C波段图像(2003-2010年),得出的测量结果可以识别农村地区和农村地区的沉降模式。市区都一样。主要特征是阿尔克马尔以西的沉降区域,这归因于贝格米尔储层的天然气生产,该区域的沉降速率为每年3毫米。相对于形成阿姆斯特丹军械基准(NAP)的水准基准的一阶系统,验证了使用线性和非线性表面变形模型得出的位移。已经确定,对于ERS和ENVISAT数据集,ISBAS产品的精确度分别在1.52 mm /年和1.12 mm /年之内。在欧洲航天局Terrafirma项目进行的验证活动中,误差预算与使用持久散射体干涉术(PSI)的结果相当。这些结果证实了ISBAS方法能够对气田提供更规则的陆上运动测量值的采样能力,这在将来可能会被迫用于推断地下,充满流体的多孔岩石的特性。

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