Interpretation of magnetic anomalies of dikes using correlation factors

Kara, İbrahim; Özdemir, Mustafa; Yüksel, Fethi Ahmet

doi:10.1007/bf01089702

Cited by 8 publications

(3 citation statements)

References 11 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the other hand, inverse theory is an elegant tool for estimating causative target parameters, which is definitely easier than the mathematical solution. There are numerous graphical methods and techniques that have been developed for interpreting magnetic anomalies due to dipping dike models among them (Peters (1949); Cook (1950); Werner (1953); Hutchison (1958); Gay (1963); Bruckshaw and Kunaratnam (1963); Grant and West (1965); Koulomzine et al (1970); ; and Kara et al (1996)). Most of these methods involve characteristic points and distances, nomograms, and standardized curves to estimate the model parameters (Abdelrahman et al 2007).…”

Section: Introductionmentioning

confidence: 99%

Interpretation of magnetic anomalies due to dipping dikes using neural network inversion

Al‐Garni

2015

Arab J Geosci

View full text Add to dashboard Cite

A new approach is proposed for the interpretation of magnetic anomalies caused by dipping dikes. This approach is mainly based on modular neural network inversion for estimating the parameters of dipping dike model. Suitable network training examples and test data have been generated using forward models based on known true parameters. The training procedures adopt supervised learning routine using modular neural networks. The effect of random noise has been examined where the proposed technique showed stability and satisfactory results. The applicability of this technique has been tested on synthetic and field examples data. This technique is particularly applied to two field examples, namely magnetic anomaly over an outcropping quartz dike-like body in Karimnagar area, Andhra Pradesh, India, and Marcona magnetic anomaly, Marcona district, Peru. The results of using this technique showed good agreement with the measured field data compared with most conventional ones. Furthermore, neural networks proved to be efficient and flexible in the interpretation of magnetic anomaly of dipping dike.

show abstract

Section: Introductionmentioning

confidence: 99%

Interpretation of magnetic anomalies due to dipping dikes using neural network inversion

Al‐Garni

2015

Arab J Geosci

View full text Add to dashboard Cite

show abstract

“…Many researchers have been interpreted the anomalies of these structures by decomposing the anomalies into their origin-symmetric even and odd components. In Hutchison (1958) a logarithmic curve fitting method is implemented, in Bhimasankaram et al (1978) Fourier transforms are used, in Kara et al (1996) and Kara (1997) a method using correlation factors and integration nomograms is presented, in Rao et al (1973) two methods are presented using the horizontal derivative of the anomaly, and in Atchuta Rao and Ram Babu (1981) a method using nomograms is presented.…”

Section: Introductionmentioning

confidence: 99%

A Graph Method for Interpretation of Magnetic Anomalies over 2D dikes and vertical faults

Kara¹,

Bal²,

Tekkeli³

2021

Bulletin of the Mineral Research and Exploration

View full text Add to dashboard Cite

“…Bhimasankaram et al (1978) applied this parity decomposition to obtain the depth, half-width, and the effective angle Q in frequency domain. Kara et al (1996) have further developed several interpretation tools starting from the same principle. de Souza et al ( 2020) proposed a weighted average based on both even and odd components as an alternative to the reduction-to-the-pole filter.…”

Section: Introductionmentioning

confidence: 99%

Interpretation of magnetic profiles using a decomposition in Hilbert transform pairs

2021

Proceeding of the 17th International Congress of the Brazilian Geophysical

View full text Add to dashboard Cite

We propose a simple transformation to aid the interpretation of magnetic anomalies generated by linear structures. The profile of such anomalies across the strike can be decomposed into two signals, one being symmetric and the other antisymmetric with respect to the center of the source. The symmetric component serves as input data to a variety of depth estimation techniques that often assume the anomaly is reduced to the pole. We use the fact that these components form a Hilbert transform pair to transform a skewed anomaly profile into a symmetric one. Unlike in previous works that rely on the decomposition into even and odd functions, the profile does not need to be shifted to the source's center of symmetry or to be limited to one isolated anomaly. Multiple effective magnetization directions presented by different dikes are modeled by a function representing the different local effective dip angles. We validate the method with synthetic data and ground magnetic survey data from a dike swarm located at Ponta Grossa Arch, southern Brazil. We also illustrate the usefulness of reconstructed anomalies in depth estimation methods. The results show also that the method is capable of handling interfering sources with distinct effective magnetization directions.

show abstract

Interpretation of magnetic anomalies of dikes using correlation factors

Cited by 8 publications

References 11 publications

Interpretation of magnetic anomalies due to dipping dikes using neural network inversion

Interpretation of magnetic anomalies due to dipping dikes using neural network inversion

A Graph Method for Interpretation of Magnetic Anomalies over 2D dikes and vertical faults

Interpretation of magnetic profiles using a decomposition in Hilbert transform pairs

Contact Info

Product

Resources

About