2017
DOI: 10.4236/ijg.2017.812085
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Use of the Polynomial Separation and the Gravity Spectral Analysis to Estimate the Depth of the Northern Logone Birni Sedimentary Basin (CAMEROON)

Abstract: Many scientists used the power spectrum of the gravity anomaly to obtain the average depth of the disturbing surface or equivalently the average depth to the top of the disturbing body. The spectrum of gravity anomaly due to layered source is separated into multiple segments in frequency domain that can be interpreted in terms of mean depth of the interface. The half of the slope of the segments gives the mean depth of the interfaces. This study aims to estimate the average residual depth anomalies of various … Show more

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Cited by 9 publications
(9 citation statements)
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“…Spectral analysis was carried out to determine the boundary of the regional Bouguer anomaly and the residual area of the study [18][19]. The results of this spectral analysis are then used to estimate the window width for gravity anomaly filtering [20].…”
Section: Resultsmentioning
confidence: 99%
“…Spectral analysis was carried out to determine the boundary of the regional Bouguer anomaly and the residual area of the study [18][19]. The results of this spectral analysis are then used to estimate the window width for gravity anomaly filtering [20].…”
Section: Resultsmentioning
confidence: 99%
“…The data interpretation was carried out by first, gridding [10] using 100 m grid cell of the Oasis Montaj Software. Then the regional and residual anomalies were separated using a first order polynomial operation for the regional anomaly [11] after reduction to equator operation to reposition data as if collected on the equator [12] before improvement of data by enhancement of data [13; 14]. TMI maps [15] for the whole region, the regional anomaly and residual anomaly were produced analysis.…”
Section: Methodsmentioning
confidence: 99%
“…This method is based on polynomial decomposition series. It uses the least squares method to compute the mathematical surface giving the best fit to the data for a specified degree of detail [33,34,35,36]. This surface is considered the regional gravity anomaly.…”
Section: Polynomial Fitting Methodsmentioning
confidence: 99%
“…In practice, the regional surface is considered as two-dimensional polynomial. The order of this polynomial depends on the complexity of the geology of the study area [33,34,35,36]. The third order polynomial surfaces of the regional anomaly obtained in this work are presented along with the corresponding residual anomaly.…”
Section: Polynomial Fitting Methodsmentioning
confidence: 99%