Advanced InSAR for Reservoir Geomechanical Analysis

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

doi:10.3997/2214-4609.20140459

Cited by 5 publications

(4 citation statements)

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“…The exit criterion is set on the relative energy norm. The implementations of both the hypoelastic and pseudoelastic models are characterized by a fast convergence profile, asymptotically close to the theoretical Figure 18 shows also the convergence profile obtained using only the symmetric part of the tangent operator of the hypoelastic model (dashed line), ie, the first term proportional to matrix A of Equation 26. This way, the symmetry of the inner linear step is preserved, with a lower related computational cost, but the quadratic convergence is generally lost because of the approximation of the Jacobian matrix.…”

Section: Computational Performancesupporting

confidence: 59%

“…In particular, many studies have been conducted in the Po river basin (Northern Italy), where several reservoirs are developed for both hydrocarbon extraction and underground gas storage purposes. The ground displacements predicted by the numerical simulations were recently confirmed by new measurements based on the interferometric synthetic aperture radar technique, an accurate methodology to monitor the land surface displacements using satellite data . For example, the interferometric synthetic aperture radar measurements, collected for different reservoirs of the Northern Adriatic Basin, Italy, confirmed 2 issues: first, the reliability of the constitutive law based on the stress‐dependent C M ; second, the accuracy of the relationship linking C M to the effective vertical stress σ z , previously derived for the same basin using the radioactive marker technique …”

Section: Introductionsupporting

confidence: 56%

“…The ground displacements predicted by the numerical simulations were recently confirmed by new measurements based on the interferometric synthetic aperture radar technique, an accurate methodology to monitor the land surface displacements using satellite data. 26 For example, the interferometric synthetic aperture radar measurements, collected for different reservoirs of the Northern Adriatic Basin, Italy, confirmed 2 issues: first, the reliability of the constitutive law based on the stress-dependent C M ; second, the accuracy of the relationship linking C M to the effective vertical stress z , previously derived for the same basin using the radioactive marker technique. 15,24,25 The aforementioned constitutive law, however, presents some inconveniences from a numerical point of view, when implemented in a Newton-like scheme.…”

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confidence: 59%

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A two‐invariant pseudoelastic model for reservoir compaction

Spiezia

Ferronato

Janna

et al. 2017

Num Anal Meth Geomechanics

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Summary Predicting the deformations of deep reservoirs due to fluid withdrawal/injection is a challenging task that could have important environmental, social, and economical impacts. Finite element models, if endowed with an appropriate constitutive law, represent a useful tool for computing the displacements, the deformations, and the stress distributions in reservoir applications. Several studies show that hypoelastic laws, based on a stress‐dependent vertical compressibility, are able to provide accurate results, confirmed by in situ and satellite measurements. On the other hand, such laws present some weaknesses related to the numerical implementation, in particular due to the nonsymmetry of the tangent operator. This paper presents a new constitutive model based on 2 invariants (the mean normal and deviatoric stresses), characterized by a variable pressure‐dependent bulk modulus K. This constitutive law allows for overcoming most shortcomings of the hypoelastic law, although preserving the same accuracy, reliability, and ease of use and calibration. This paper presents a procedure to identify the parameters of the new model, starting from the typically available data on the vertical compressibility. Numerical results show a good agreement between the 2 laws, suggesting the proposed approach as a valid alternative in reservoir applications.

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Section: Computational Performancesupporting

confidence: 59%

Section: Introductionsupporting

confidence: 56%

mentioning

confidence: 59%

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A two‐invariant pseudoelastic model for reservoir compaction

Spiezia

Ferronato

Janna

et al. 2017

Num Anal Meth Geomechanics

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“…One of the major differences between GB-and satellite InSAR is related to their emitted signal. In the case of satellites, the amplitude of the signal sent must be important to reach the Earth surface and to be backscattered with enough intensity to be recorded by the radar receiver (Ferretti et al 2014). However, the antennas are not able to continuously generate and send such a high-peak power signal.…”

Section: Radar Bandwidth Bw Vs Radar Pulse Length τ and Pulse Frequen...mentioning

confidence: 99%

A new tool for the estimation of Ground-Based InSAR acquisition characteristics before starting installation and monitoring survey

Wolff,

Derron,

Rivolta

et al. 2023

Preprint

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Abstract. Synthetic Aperture Radar (SAR) acquisition can be performed from satellites or from the ground by means of a so-called GB-InSAR (Ground-Based Interferometry SAR), but the signal emission and the output image geometry slightly differ between the two acquisition modes. Those differences are rarely mentioned in the literature. This paper proposes to compare satellite and GB-InSAR in terms of (1) acquisition characteristics and parameters to consider; (2) SAR image resolution; (3) geometric distortions that are foreshortening, layover and shadowing. If in the case of satellites SAR, the range and azimuth resolutions are known and constant along the orbit path, in the case of GB-InSAR their values are terrain-dependent. It is worth estimating the results of a GB-InSAR acquisition one can expect in terms of range and azimuth resolution, Line of Sight (LoS) distance and geometric distortions to select the best installation location when several are possible. We developed a tool which estimates those parameters from a Digital Elevation Model (DEM), knowing the GB-InSAR and the Slope of Interest (SoI) coordinates. This tool, written in MATLAB, was tested on a simple synthetic point cloud representing a cliff with a progressive slope angle to highlight the influence of the SoI geometry on the acquisition characteristics and on two real cases; cliffs located in Switzerland, one in the Ticino canton and on in the Vaud canton.

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