Initializing Cross-Gradients Joint Inversion of Gravity and Magnetic Data with a Bayesian Surrogate Gravity Model

Fregoso, Emilia; González, Abel Palafox; Moreles, Miguel Ángel

doi:10.1007/s00024-019-02334-w

Cited by 12 publications

(9 citation statements)

References 21 publications

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“…Comparing parts (d) and (g) of Figure 2 shows that the joint inversion results of Fregoso et al. (2019) (Figure 2d) and the NFG model reconstructed by N ≤ 12 (Figure 2g) can successfully reconstruct the synthetic dyke.…”

Section: Methodsmentioning

confidence: 77%

“…(c) Gravity anomaly generated from the synthetic model (panel b). (d) Vertical slices of density model from joint inversion of density and magnetization with Bayesian initialization (Fregoso et al., 2019). (e) A vertical slice of the normalized full gradient (NFG) response reconstructed by N ≤ 28.…”

Section: Methodsmentioning

confidence: 99%

“…Several studies used this model (e.g. Fregoso et al., 2019; Li & Oldenburg, 1998; Zhang & Meng, 2015) to test the stability and resolution of their employed inversion methods. Figure 2 compares the cross‐sections obtained from the joint inversion of gravity and magnetic data with a Bayesian estimation for density model (Figure 2d) by Fregoso et al.…”

Section: Methodsmentioning

confidence: 99%

See 2 more Smart Citations

Adopting normalized full gradient method for regional‐scale gravity modelling: A case study for Northwestern Iran

Alipour,

Motaghi,

Mousavi

et al. 2023

Geophysical Prospecting

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The normalized full gradient was developed to determine anomalous bodies, such as oil and gas fields or simple geological structures studies. We believe that even in complicated geology, normalized full gradient is practical. We introduce data preprocessing and use step‐by‐step simple‐to‐complicated synthetic tests to develop previous researchers’ ideas for regional‐scale gravity modelling. One of the most important steps of the normalized full gradient is the determination of the N optimum value. We found that prevalent methods such as the standard spectral or maxima method are feasible in simple structures only. So, we have suggested the imaging criteria routine for complicated cases. We trace maximum normalized full gradient responses to detect the normalized full gradient responses at the increasing harmonic numbers as the transition of the extensive part of the anomaly to the sharp part of that. With imaging criteria for the determination of N optimum values, the complicated synthetic test results show the success of the normalized full gradient to understand complicated gravity signals. In the real case, we have studied the Northwestern Iran normalized full gradient model of the Bouguer ground gravity data beneath the seismic profile and prepared a P receiver function depth section to uncover the geometry of the Moho boundary and important interfaces in the crust. We suggest the inferred synthetic model from the Bouguer ground gravity anomaly and P receiver function depth section to normalized full gradient trustworthy test in real cases. According to the synthetic test results, we understand the frame of the normalized full gradient responses in the semi‐real case and truthful responses in the real case. Along with this, we study the second ground gravity profile of Northwestern Iran in a good resolution to uncover the deeper structures. The real case results show the possibility of Moho offset and thinning lithosphere beneath the North Tabriz Fault lithospheric boundary, the possible source of Sahand volcanic centre at the west side of the Moho offset beneath North Tabriz Fault, the deep root of the Sabalan volcanic centre in the lower crust and the lithospheric and asthenospheric wedge with the density contrast beneath Sahand–Sabalan volcanic centres. One of the most important results of our study is the lithosphere–asthenosphere boundary offset and stepped Moho possibility beneath the Talesh Mts next to the South Caspian Basin boundary.

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Section: Methodsmentioning

confidence: 77%

Section: Methodsmentioning

confidence: 99%

Section: Methodsmentioning

confidence: 99%

See 1 more Smart Citation

Adopting normalized full gradient method for regional‐scale gravity modelling: A case study for Northwestern Iran

Alipour,

Motaghi,

Mousavi

et al. 2023

Geophysical Prospecting

View full text Add to dashboard Cite

show abstract

“…In petro-physical joint inversion, linear or non-linear relationships between physical parameters are applied (Monteiro Santos et al, 2007;Coutant et al, 2012;Al-Shuhail and Adetunji, 2016;Wagner et al, 2019). Additionally, some examples used both structural and petro-physical approaches at the same time (Garofalo et al, 2015;Fregoso et al, 2019). Seismic shot gathers and corresponding waveform transforms with automatically picked maxima for fundamental mode: (a) and (b) Bostancı, (c) and (d) MAE, (e) and (f) Bahcecik, (g) and (h) Besirli site.…”

Section: Figurementioning

confidence: 99%

“…In petro‐physical joint inversion, linear or non‐linear relationships between physical parameters are applied (Monteiro Santos et al ., 2007; Coutant et al ., 2012; Al‐Shuhail and Adetunji, 2016; Wagner et al ., 2019). Additionally, some examples used both structural and petro‐physical approaches at the same time (Garofalo et al ., 2015; Fregoso et al ., 2019).…”

Section: Introductionmentioning

confidence: 99%

Obtaining reliable S‐wave velocity depth profile by joint inversion of geophysical data: the combination of active surface‐wave, seismic refraction and electric sounding data

Senkaya

Karsli

Socco

et al. 2020

Near Surface Geophysics

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The inversion of active surface-wave data is highly affected by the non-uniqueness of the solution. While a deterministic approach is generally chosen due to certain advantages, there is the risk of getting trapped in a local minima, especially when no a priori information is available about the sub-surface geometry since the layer thickness is assumed fixed to a priori. The fixed-layer thickness in a deterministic inversion of the active surface-wave raises significant issues, such as the relevance of the initial model geometry (the thickness of the intermediate layer and the total depth of the initial model) and the equivalence problems. Thus, the inversion result is inherently not reliable, even in the case of the normal dispersion medium, and the result could be unachievable in challenging sub-surface situations. These issues could be reduced by using a joint inversion approach. The present paper first presents examples of issues through four case histories in Trabzon, Turkey. Then, two joint inversion approaches based on local search are carried out to handle the issues concerning individual inversion. The first approach combines active surface-wave data with electric sounding data and the second includes travel times from seismic refraction data. In addition, an independent inversion is carried out with a neighbourhood algorithm for a global search to compare against the joint inversion results. The joint inversion schemes clearly reduce the ambiguities of the individual inversion of the active surface-wave data, and the dependence on the initial model regarding the layer thickness is also mitigated. Moreover, the joint inversion approach provides an estimate of the complementary model parameters, namely electrical resistivity and the compressional wave velocity. It is shown that the proposed joint inversion approaches provide consistent results with former boreholes, seismic tomographic profiles and the known geologic features of the study area even in the absence of any a priori information.

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Topographically Predicted Vertical Gravity Gradient Field and Its Applicability in 3D and 4D Microgravimetry: Etna (Italy) Case Study

Vajda

Zahorec

Papčo

et al. 2020

Pure Appl. Geophys.

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Initializing Cross-Gradients Joint Inversion of Gravity and Magnetic Data with a Bayesian Surrogate Gravity Model

Cited by 12 publications

References 21 publications

Adopting normalized full gradient method for regional‐scale gravity modelling: A case study for Northwestern Iran

Adopting normalized full gradient method for regional‐scale gravity modelling: A case study for Northwestern Iran

Obtaining reliable S‐wave velocity depth profile by joint inversion of geophysical data: the combination of active surface‐wave, seismic refraction and electric sounding data

Topographically Predicted Vertical Gravity Gradient Field and Its Applicability in 3D and 4D Microgravimetry: Etna (Italy) Case Study

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