Gravity inversion modeling across a 2-D dike-like structure—A Case Study

Ateya, Ismail Lukandu; Takemoto, Shuzo

doi:10.1186/bf03351732

Cited by 9 publications

(6 citation statements)

References 15 publications

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“…By searching many papers related to our subject it can be found that their focus is on determining the parameters of dyke-like gravity sources (Bastani and Pedersen 2001;Abdelrahman and Essa 2007;Abdelrahman et al 2003, Asfahani andTlas 2007;Tlas and Asfahani 2011a, b;Cooper 2012Cooper , 2014Cooper , 2015 while it can be stated that dyke non-linear inverse modeling from gravity data less has been investigated. Ateya and Takemoto (2002) proposed a gravity inversion modeling across a 2-D dike-like structure. A fast simulated annealing global optimization technique has been proposed by Biswas (2016) to the interpretation of gravity and gravity anomaly over thin sheet-type structure.…”

Section: Introductionmentioning

confidence: 99%

Modelling of Residual Gravity Data due to a Near Surface Dyke Structure Using Damped SVD and Marquardt Inverse Methods

Eshaghzadeh

Hajian

2022

Geofis Int

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En este artículo, se describen dos métodos de modelado inverso basados en la descomposición de valor singular amortiguado (DSVD) como inversor lineal y el algoritmo de optimización de Marquardt como inversor no lineal. El SVD amortiguado resuelve los problemas mal planteados y especifica directamente la contribución de la densidad de la superficie inferior. La inversión de Marquardt estima los parámetros del modelo. La eficiencia de ambos métodos se investiga utilizando los datos de gravedad sintéticos, con y sin ruido aleatorio, según se obtengan los resultados aceptables. Los enfoques introducidos se emplean para la interpretación de un conjunto de datos de gravedad real de Irán. La masa causante de la gravedad en el área de estudio son casi el depósito magmático con un alto porcentaje de dióxido de manganeso donde han penetrado dentro de las fracturas y aproximadamente se han formado las estructuras tabulares. Las estructuras invertidas de ambos métodosson casi correspondientes. El ancho, la extensión y la profundidad evaluados hasta la parte superior e inferior de la estructura enterrada mediante la técnica SVD amortiguada son 15m, 22m, 7.5m y 25m, respectivamente, y según el algoritmo de Marquardt son 15.8m, 20.3m, 9.4m y 21.9m, respectivamente. La fuente simulada tiene una tendencia NW-SE con una caída de 38,04 grados.

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Section: Introductionmentioning

confidence: 99%

Modelling of Residual Gravity Data due to a Near Surface Dyke Structure Using Damped SVD and Marquardt Inverse Methods

Eshaghzadeh

Hajian

2022

Geofis Int

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“…Gravity method is a non-ruinous geophysical procedure that measures contrasts in the gravitational field of the earth at many various areas. It has much beneficial utilization in hydrocarbon exploration, mineral prospecting, archeological investigations, environmental applications and crustal imaging [1][2][3][4][5][6][7][8][9][10][11]. The main objective of the gravity interpretation is evaluating the model parameters (depth, amplitude coefficient, origin location, and shape parameter) of gravity oddities delivered by basic geometrical formed structures (spheres, cylinders).…”

Section: Introductionmentioning

confidence: 99%

Gravity Data Interpretation Using Different New Algorithms: A Comparative Study

Essa¹,

Elhussein²

2018

Gravity - Geoscience Applications, Industrial Technology and Quantum Aspect

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Gravity data interpretation is useful in exploring regions that have different geological structures, which contain minerals, ores and oil deposits. There are different numerical methods for the model parameters (depth (z), origin location (x o ), shape parameter (q) and amplitude coefficient (A)) evaluation of a covered structure such as gradient method, particle swarm optimization technique and Werner deconvolution method. In this study, application of these methods is utilized to appraise the model parametric quantity of the covered structures. The application of these methods was demonstrated by different engineered data without and with various range of noise (5%, 10%) and applied for a real example from Egypt. The result values of each method were compared together and with those published and drilling information.

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“…Gravity and magnetic methods have many successful applications in mineral prospecting, environmental applications, and crustal imaging (e.g., Abdelrahman et al 1989;Ateya and Takemoto 2002;Batista-Rodríguez et al 2013;Beiki and Pedersen 2011;Fedi 2007;Hinze 1990;Hinze et al 2013;LaFehr and Nabighian 2012;Long and Kaufmann 2013;Mehanee 2014a;Nettleton 1976;Okubo et al 2013;Paoletti et al 2013;Pei et al 2014).…”

Section: Introductionmentioning

confidence: 99%

“…These techniques (e.g., Ateya and Takemoto 2002;Mushayandebvu et al 2001;Sazhina and Grushinsky 1971) are applied to obtain the characteristic inverse parameters of the underlying target.…”

Section: Introductionmentioning

confidence: 99%

2.5D regularized inversion for the interpretation of residual gravity data by a dipping thin sheet: numerical examples and case studies with an insight on sensitivity and non-uniqueness

Mehanee

Essa

2015

Earth Planet Sp

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A new two-and-a-half dimensional (2.5D) regularized inversion scheme has been developed for the interpretation of residual gravity data by a dipping thin-sheet model. This scheme solves for the characteristic inverse parameters (depth to top z, dip angle θ , extension in depth L, strike length 2 Y, and amplitude coefficient A) of a model in the space of logarithms of these parameters (log(z), log(θ ), log(L), log(Y), and log(|A|)). The developed method has been successfully verified on synthetic examples without noise. The method is found stable and can estimate the inverse parameters of the buried target with acceptable accuracy when applied to data contaminated with various noise levels. However, some of the inverse parameters encountered some inaccuracy when the method was applied to synthetic data distorted by significant neighboring gravity effects/interferences. The validity of this method for practical applications has been successfully illustrated on two field examples with diverse geologic settings from mineral exploration. The estimated inverse parameters of the real data investigated are found to generally conform well with those yielded from drilling. The method is shown to be highly applicable for mineral prospecting and reconnaissance studies. It is capable of extracting the various characteristic inverse parameters that are of geologic and economic significance, and is of particular value in cases where the residual gravity data set is due to an isolated thinsheet type buried target. The sensitivity analysis carried out on the Jacobian matrices of the field examples investigated here has shown that the parameter that can be determined with the superior accuracy is θ (as confirmed from drilling information). The parameters z, L, Y, and A can be estimated with acceptable accuracy, especially the parameters z and A. This inverse problem is non-unique. The non-uniqueness analysis and the tabulated inverse results presented here have shown that the parameters most affected by the non-uniqueness are L and Y. It has also been shown that the new scheme developed here is advantageous in terms of computational efficiency, stability and convergence than the existing gravity data inversion schemes that solve for the characteristic inverse parameters of a sheet/dike.

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Gravity inversion modeling across a 2-D dike-like structure—A Case Study

Cited by 9 publications

References 15 publications

Modelling of Residual Gravity Data due to a Near Surface Dyke Structure Using Damped SVD and Marquardt Inverse Methods

Modelling of Residual Gravity Data due to a Near Surface Dyke Structure Using Damped SVD and Marquardt Inverse Methods

Gravity Data Interpretation Using Different New Algorithms: A Comparative Study

2.5D regularized inversion for the interpretation of residual gravity data by a dipping thin sheet: numerical examples and case studies with an insight on sensitivity and non-uniqueness

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