Using constrained inversion of gravity and magnetic field to produce a 3D litho-prediction model

Mahmoodi, Omid; Smith, Richard S.; Spicer, Bill

doi:10.1190/segam2016-13685551.1

Cited by 2 publications

(1 citation statement)

References 4 publications

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“…Validation of the GRAV3D program must be done to obtain the validity and reliability of the recovered models obtained as a result of inversion [1], [2] There is a possibility of obtaining the validity of the UBC-GIF GRAV3D program through two approaches (i) a reference model ( ) and (ii) lower and upper bound models that define the minimum and maximum values, which will determine the cell value in the mesh until the recovered model is obtained smooth. [3]. The solution of 3D inversion with GCV techniques through the determination of the lower limit can be applied by taking into account the misfit that must be achieved should be within the rough range 0.5 * N -5.0 * N, being N the number of data [4], [5].…”

Section: Introductionmentioning

confidence: 99%

GRAV3D Validation using Generalized Cross-Validation (GCV) Algorithm by Lower Bounds Approach for 3D Gravity Data Inversion

Adhi

Wahyudi²,

Suryanto³

et al. 2018

SJI

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The completion of gravitational data inversion results in a smooth recovered model. GRAV3D is one software that can be used to solve 3D inversion problems of gravity data. Nevertheless there are still fundamental problems related to how to ensure the validity of GRAV3D to be used in 3D inversion. One approach used is to use lower bounds as inversion parameters. In this study lower bounds are set from to . The results obtained show that the use of lower bounds decreases resulting in a larger data misfit which means that the more data that meets the tolerance calculation, the better recovered model produced.

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Section: Introductionmentioning

confidence: 99%

GRAV3D Validation using Generalized Cross-Validation (GCV) Algorithm by Lower Bounds Approach for 3D Gravity Data Inversion

Adhi

Wahyudi²,

Suryanto³

et al. 2018

SJI

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Magnetic inversion modeling of subsurface geologic structures for mineral deposits mapping in southeastern Nigeria

Abraham¹,

Usman²,

CHIMA³

et al. 2023

Bull.Min.Res.Exp.

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Magnetic inversion techniques have been implemented to infer the extension and geometry of magnetic structures and also evaluate its influence on mineralization within Abakaliki and its environs, southeastern Nigeria. The modeling approach considers the techniques of three-dimensional (3D) magnetic data inversion, Euler deconvolution, analytic signal inversion, Enhanced Local Wavenumber (ELW) Technique and Particle Swarm Optimization (PSO) to estimate source parameters and compare results. Model solutions were interpreted to represent possible geologic units with varying trends, housing mineralization within the study region. Results from inversion computation over some active mine locations show subsurface bodies with magnetic susceptibilities >0.00188 SI. Model results also show structural sources with almost 5.5 km depth extension, stretching 18 km in the EW direction at Ngbo – Ekerigwe location. This could imply significant mineral deposits at the location. Inversion of both magnetic anomaly and analytical signal enabled derivation of the actual subsurface structures in the region, with most of the structures appearing as dykes with depths ranging from 0.2 – 1.8 km at most of the mining sites. Location and depths of some of the modeled intrusions have been corroborated with the active on-site mines. The delineation of mineralization structures by this study would guide systematic exploration in the region.

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Using constrained inversion of gravity and magnetic field to produce a 3D litho-prediction model

Cited by 2 publications

References 4 publications

GRAV3D Validation using Generalized Cross-Validation (GCV) Algorithm by Lower Bounds Approach for 3D Gravity Data Inversion

GRAV3D Validation using Generalized Cross-Validation (GCV) Algorithm by Lower Bounds Approach for 3D Gravity Data Inversion

Magnetic inversion modeling of subsurface geologic structures for mineral deposits mapping in southeastern Nigeria

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