Advanced Satellite InSAR Technology For Fault Analysis And Tectonic Setting Assessment. Application To Reservoir Management And Monitoring.

Tamburini, A.; Conte, Sara Del; Ferretti, A.; Cespa, S.

doi:10.2523/17574-ms

Cited by 2 publications

(4 citation statements)

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“…It can be assumed that systematic monitoring of UGSes could help identify degrading parts of the storage structure, non-standard well behavior, and reactivation of faults [1][2][3][4][5].…”

Section: Discussionmentioning

confidence: 99%

“…To make the combined processing of LOSes from ascending and descending tracks possible, it is necessary to resample measurements that take place at different times and different PS points to the same places and at the same times [4]. In the spatial domain, a regular grid of patches is used for resampling, with the fact that only those patches that contain at least one measurement in the ascending and one in the descending track are processed.…”

Section: Satellite Line Of Sight Geometrymentioning

confidence: 99%

“…The displacement of a point located on the terrain surface measured by InSAR is influenced by E-W and U-D components only. Therefore, according to [4,11,34], we can express the shift in the LOS direction as follows:…”

Section: Satellite Line Of Sight Geometrymentioning

confidence: 99%

“…It can provide valuable information on the behavior of an underground geological structure, whether it is used as a source of water, oil, or gas, a CO 2 storage space, or, for example, as an underground gas storage facility (UGS). The periodic motions of the Earth's surface enable, among other things, detection of unused parts of the reservoir, reactivation of faults, or failure of wells, and can be used for tuning, verification, and validation of geotechnical models of underground geological structures in which UGS facilities are built [1][2][3][4][5]. The great advantage of this method is the aerial coverage, the detail of the description in space, high sensitivity, and the ability to monitor the development of terrain surface shifts over time.…”

Section: Introductionmentioning

confidence: 99%

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Monitoring Non-Linear Ground Motion above Underground Gas Storage Using GNSS and PSInSAR Based on Sentinel-1 Data

et al. 2022

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Several methods allow accurate measurement of terrain surface motions. Global navigation satellite systems (GNSSes) and interferometry with synthetic aperture radar (InSAR) stand out in terms of measurement accuracy among them. In principle, both methods make it possible to evaluate a three-dimensional vector of the motion of points on the terrain surface. In this work, we dealt with the evaluation of motions in the up–down (U–D) and east–west direction (E–W) over underground gas storage (UGS) from InSAR. One crucial step in breaking down PSInSAR line of sight (LOS) measurements to U–D and E–W components is getting time series derived from individual tracks to the same time frame. This is usually performed by interpolation, but we used an innovative approach: we analyzed individual time series using the Lomb–Scargle periodogram (LSP), which is suitable for periodic noisy and irregularly sampled data; we selected the most significant period, created LSP models, and used them instead of the original time series. Then, it was possible to derive time series values for any arbitrary time step. To validate the results, we installed one GNSS receiver in the Tvrdonice UGS test area to perform independent measurements. The results show a good agreement in the evaluation of motions by both methods. The correlation coefficient between horizontal components from both PSInSAR and GNSS was 0.95 in the case of the E–W component, with an RMSE of 1.75 mm; for U–D they were 0.78 and 2.35 mm, respectively. In addition to comparing the motions in the U–D and E–W directions, we also created a comparison by converting GNSS measurements to a line of sight of the Sentinel-1 satellite to evaluate the conformity of InSAR and GNSS measurements. Based on descending track, the correlation coefficient between LOS from both methods is, on average, 0.97, with an RMSE of 2.70 mm.

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“…It can be assumed that systematic monitoring of UGSes could help identify degrading parts of the storage structure, non-standard well behavior, and reactivation of faults [1][2][3][4][5].…”

Section: Discussionmentioning

confidence: 99%

Section: Satellite Line Of Sight Geometrymentioning

confidence: 99%