Basement depth estimation from gravity anomalies: two 2.5D approaches coupled with the exponential density contrast model

Chakravarthi, V.; Mallesh, K; Ramamma, B.

doi:10.1088/1742-2140/aa5832

Cited by 15 publications

(3 citation statements)

References 39 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…A negatively sloping best-fit line represents the relationship between the two, i.e., a high Bouguer anomaly is associated with a thin crust and vice versa. This is expected since the depth or the distance of a dense body from the observation point is a significant factor affecting the Bouguer anomaly (e.g., Weilly, 1961;Chakravarthi et al, 2007). Considering that shorter wavelength gravity signals were removed in a typical oceanic arc setting, the main density contrast occurs between the arc crustal layers and the upper mantle.…”

Section: Linear Regression Analyses and Gravity Modelingmentioning

confidence: 99%

Enhanced arc magmatic productivity of the Western Pacific island arcs deduced from gravity-derived arc crustal growth rates

Parcutela

Austria²,

Dimalanta³

et al. 2023

Front. Earth Sci.

View full text Add to dashboard Cite

Island arcs are postulated as the juvenile components that contribute to the growth of continental crust. Growth rates of arc crusts were previously computed using crustal thicknesses derived from seismic data. Consequently, crustal growth rates of oceanic island arcs are also constrained by the limited seismic data availability. This work presents the first comparison of gravity-derived magmatic growth rates of Western Pacific oceanic island arcs. We used the statistical correlation between Bouguer anomalies and seismic-derived crustal thicknesses to generate an empirical formula. The new empirical formula was utilized to estimate the crustal thicknesses of oceanic island arcs using Bouguer anomalies from the EGM2008 global gravity model. The resulting crustal thicknesses were employed to compute the magmatic growth rates of western Pacific island arcs and the Philippine island arc system. The latest magmatic growth rate estimates show that the magmatic productivity of Western Pacific island arcs, which are directly associated with Pacific Plate subduction, is significantly higher (28–60 km3/km/m.y). The growth rate of the Pacific island arcs is higher compared to the magmatic growth rate computed for the other oceanic island arcs (12–25 km3/km/m.y), which are derived from the subduction of other oceanic lithospheres (i.e., the Philippine Sea Plate; Caribbean Sea Plate; and Eurasia-South China Sea slabs). This is attributed to the variation in the ages of the subducting plates. The Pacific Plate, being older, is associated with higher degrees of serpentinization and sediment cover, which introduce more volatiles inducing more robust partial melting of the mantle wedge.

show abstract

Section: Linear Regression Analyses and Gravity Modelingmentioning

confidence: 99%

Enhanced arc magmatic productivity of the Western Pacific island arcs deduced from gravity-derived arc crustal growth rates

Parcutela

Austria²,

Dimalanta³

et al. 2023

Front. Earth Sci.

View full text Add to dashboard Cite

show abstract

“…The gravity method is a non-invasive, cost-efficient and passive method, which measures the difference in the Earth's gravitational field at a certain location, caused by the rock mass properties (density). It has been applied in a wide range of projects such as hydrocarbon (oil and gas) exploration (Yuan et al, 2018;Saghafi and Yarveicy, 2019;Cho et al, 2020), underground cavities or tunnels detection (Pazzi et al, 2018;Abdullah et al, 2019;Saddek et al, 2019), geothermal exploration (Altwegg et al, 2015;Uwiduhaye et al, 2018), geotechnical and engineering application (Debeglia and Dupont, 2002;Arisona et al, 2018), weapons and unexploded ordnances inspections (Abedi et al, 2014), archaeology investigation (Branston and Styles, 2006;Batayneh et al, 2007;Sarlak and Aghajani, 2017), monitoring of ground water (Frappart and Ramillien, 2018;Delobbe et al, 2019), mineral and ores exploration (Hinze, 1960;Chen et al, 2015;Essa and Abo-Ezz, 2021), landfills mapping (Silva et al, 2008;Gaël et al, 2017), radioactive waste management (An et al, 2013), mapping of subsurface structures (Chakravarthi et al, 2017;Deng et al, 2016;.…”

Section: Introductionmentioning

confidence: 99%

Fault parameters assessment from the gravity data profiles applying the global particle swarm optimization

Essa

Géraud

Diraison

2021

Journal of Petroleum Science and Engineering

View full text Add to dashboard Cite

“…Several authors applied it to image the shape of buried valleys or sedimentary basins, where negative gravity anomalies are correlated with the buried morphology of the basement rock under the sedimentary fill. Some examples are the 2 km deep sedimentary basins in the Santa Rosa plain, San Francisco (McPhee et al, 2007), tens to hundred meters deep quaternary valleys in Lolland, Denmark (Møller et al, 2007), hundred meters deep glacial valleys in the Pyrenees (Perrouty et al, 2015), and 1.6-2.2 km deep grabens in western Turkey (Chakravarthi et al, 2017).…”

Section: Introductionmentioning

confidence: 99%

Combining single-station microtremor and gravity surveys for deep stratigraphic mapping

Sgattoni

Castellaro

2021

GEOPHYSICS

View full text Add to dashboard Cite

Any stratigraphic reconstruction by means of surface geophysical methods is affected by the non-uniqueness of data inversion and by the resolution-depth tradeoff. The combination of different geophysical techniques can reduce the number of degrees of freedom of the problem. We focus on two low-impact single-station geophysical techniques: microtremor and gravity. These have been used by previous authors for stratigraphic mapping only by comparing results independently. We suggest a procedure to combine microtremor and gravity data into a unique subsoil model and explore to what extent their combined use can overcome their individual weaknesses and constrain the final result. We apply the procedure to the Bolzano sedimentary basin, Northern Italy, to derive a 3D bedrock model of the basin. We use microtremor data to map the ground resonance frequencies and derive an initial 3D bedrock depth model by assuming a Vs profile for the sediment fill. Then we define a density model for rock and sediments and perform a 3D gravity forward modeling. We then perturb both the Vs and density models and find the parameters best fitting the observed gravity anomalies. Data uncertainties are accounted for, to explore the significance of the results. The joint use of the two techniques successfully helps interpreting the stratigraphic model: ground resonance frequencies guarantee spatial resolution of the bedrock geometry model while gravity data help constraining the frequency to depth conversion.

show abstract

Basement depth estimation from gravity anomalies: two 2.5D approaches coupled with the exponential density contrast model

Cited by 15 publications

References 39 publications

Enhanced arc magmatic productivity of the Western Pacific island arcs deduced from gravity-derived arc crustal growth rates

Enhanced arc magmatic productivity of the Western Pacific island arcs deduced from gravity-derived arc crustal growth rates

Fault parameters assessment from the gravity data profiles applying the global particle swarm optimization

Combining single-station microtremor and gravity surveys for deep stratigraphic mapping

Contact Info

Product

Resources

About