Full Tensor Gradient of Simulated Gravity Data for Prospect Scale Delineation

Grandis, Hendra; Dahrin, Darharta

doi:10.5614/j.math.fund.sci.2014.46.2.1

Cited by 3 publications

(6 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…The g zz component provides an estimate of the maximum depth and predicts the boundary information that is directly related to the prism anomaly object. The gravity gradient tensor calculation base on a rectangular prism model produces similar anomaly patterns with some related studies [9,11]. The analytic signal of potential field anomalies can be defined as complex fields of complex potential [24].…”

Section: Forward Modeling Of Gravity Gradient Tensor Based On Rectangmentioning

confidence: 79%

“…The complete gravity gradient tensor measurement of the gravitational field is generally carried out by air and satellite measurement, but the gravity gradient tensor can also be calculated from the vertical components of gravity measurements on the ground [11]. In gravity and magnetic surveys, spatial gradients (horizontal and vertical) for potential field data are likely to enhance small or local scale anomalies directly related to anomalous sources.…”

Section: Calculation Of Gravity Gradient Tensor Based On Synthetic Modelmentioning

confidence: 99%

“…The gravity gradient tensor elements were calculated from the ground measurement of a vertical component using the Fourier transform [11]. In the Fourier domain, the gravity gradient is equal to the multiplication of gravity and the wave number along with the direction of the derivatives [12].…”

Section: Calculation Of Gravity Gradient Tensor Based On Synthetic Modelmentioning

confidence: 99%

“…In the Fourier domain, the gravity gradient is equal to the multiplication of gravity and the wave number along with the direction of the derivatives [12]. By considering the symmetry of the tensor component and the derived property of the Fourier transform, we can show the Fourier transform as follows [11,12]:…”

Section: Calculation Of Gravity Gradient Tensor Based On Synthetic Modelmentioning

confidence: 99%

“…Previous research on gravity gradient tensor and analytic signal has been done through a rectangular prism model with different density contrast [9,11,12]. We use a rectangular prism because, for a complex geometries model, it can be built easily through the approximation of a set of similar prisms, and has an analytical solution to calculate the gravitational response.…”

Section: Significance Of Using Gravity Gradient In Understanding the mentioning

confidence: 99%

See 4 more Smart Citations

The Study of Geological Structures in Suli and Tulehu Geothermal Regions (Ambon, Indonesia) Based on Gravity Gradient Tensor Data Simulation and Analytic Signal

et al. 2017

View full text Add to dashboard Cite

Abstract:In early 2017, the geothermal system in the Suli and Tulehu areas of Ambon (Indonesia) was investigated using a gravity gradient tensor and analytic signal. The gravity gradient tensor and analytic signal were obtained through forward modeling based on a rectangular prism. It was applied to complete Bouguer anomaly data over the study area by using Fast Fourier Transform (FFT). The analysis was conducted to enhance the geological structure like faults as a pathway of geothermal fluid circulation that is not visible on the surface because it is covered by sediment. The complete Bouguer anomaly ranges of 93 mGal up to 105 mGal decrease from the southwest in Suli to the northeast in Tulehu. A high gravity anomaly indicates a strong magmatic intrusion below the Suli region. The gravity anomalies decrease occurs in the Eriwakang mountain and most of Tulehu, and it is associated with a coral limestone. The lower gravity anomalies are located in the north to the northeast part of Tulehu are associated with alluvium. The residual anomaly shows that the drill well TLU-01 and geothermal manifestations along with the Banda, and Banda-Hatuasa faults are associated with lowest gravity anomaly (negative zone). The gravity gradient tensor simulation and an analytic signal of Suli and Tulehu give more detailed information about the geological features. The g zz component allows accurate description of the shape structures, especially the Banda fault associated with a zero value. This result will be useful as a geophysical constraint to subsurface modeling according to gravity gradient inversion over the area.

show abstract

Section: Forward Modeling Of Gravity Gradient Tensor Based On Rectangmentioning

confidence: 79%

Section: Calculation Of Gravity Gradient Tensor Based On Synthetic Modelmentioning

confidence: 99%

Section: Calculation Of Gravity Gradient Tensor Based On Synthetic Modelmentioning

confidence: 99%

Section: Calculation Of Gravity Gradient Tensor Based On Synthetic Modelmentioning

confidence: 99%

Section: Significance Of Using Gravity Gradient In Understanding the mentioning

confidence: 99%

See 3 more Smart Citations

The Study of Geological Structures in Suli and Tulehu Geothermal Regions (Ambon, Indonesia) Based on Gravity Gradient Tensor Data Simulation and Analytic Signal

et al. 2017

View full text Add to dashboard Cite

show abstract

Identification of Ransiki fault segment in South Manokwari Regency, West Papua Province, Indonesia based on analysis of a high-resolution of global gravity field: Implications on the Earthquake Source Parameters

Lewerissa

Alzair

Lapono

2021

IOP Conf. Ser.: Earth Environ. Sci.

View full text Add to dashboard Cite

The province of West Papua in Indonesia is an area crossed by three major faults, including Sorong, Koor, and Ransiki, leading to the collision of Australia, the Pacific, and Eurasia. In the past, there have been strong and damaging earthquakes on these faults, manly Ransiki fault in the South Manokwari regency. Identification of the Ransiki fault segment was conducted by geological subsurface modeling using the earth gravity field of the Global Gravity Map (GGM) based on satellite measurements implicates for earthquake source parameters. The GGM is seen as a solution for the unavailability of direct measurements in the region. The gravity field analysis begins with data reduction using SRTM2gravity as modern terrain correction to obtain a complete Bouguer anomaly. Furthermore, the gravity gradient approach through vertical and horizontal gradients, analytical signal, and the tilt angle are applied to emphasize a contact or fault structures that are not visible using a 2D fast Fourier transform. Overall, the gravity gradient analysis obtained results that were compatible with the alignment of the Ransiki fault segment which direction of the northwest to south. The gravity inversion produces a geological subsurface model that clearly shows the Ransiki fault segment, associated with a low rock density distribution, thought to the Befoor formation and quaternary sediments, located between high-density rocks correlated to Arfak volcanic rocks as a basement.

show abstract

A Note on the Use of the Second Vertical Derivative (SVD) of Gravity Data with Reference to Indonesian Cases

Grandis

Sumintadireja

2018

J. Eng. Technol. Sci.

Self Cite

View full text Add to dashboard Cite

Gravity data analysis and interpretation are based, among others, on their spatial variation represented by horizontal and vertical gradients. The gradient or derivative of a gravity field can be calculated either in the spatial domain or the wave-number domain. Historically, the second vertical derivative (SVD) of gravity data can be used to delineate the boundaries of anomalous sources. This paper addresses inappropriate use of the SVD of gravity data, with reference to current practices in Indonesia. The SVD's relative magnitude along a profile is widely used to define whether a density contrast and its dipping orientation correspond to a normal or reverse fault, which may be geologically incorrect. Furthermore, the SVD is calculated by approximation using the horizontal derivative, which may be erroneous especially with poorly distributed data and anomalous 3D sources. We exemplify our analysis with synthetic data and propose a more appropriate spectral-based analysis using field data.

show abstract

Full Tensor Gradient of Simulated Gravity Data for Prospect Scale Delineation

Cited by 3 publications

References 17 publications

The Study of Geological Structures in Suli and Tulehu Geothermal Regions (Ambon, Indonesia) Based on Gravity Gradient Tensor Data Simulation and Analytic Signal

The Study of Geological Structures in Suli and Tulehu Geothermal Regions (Ambon, Indonesia) Based on Gravity Gradient Tensor Data Simulation and Analytic Signal

Identification of Ransiki fault segment in South Manokwari Regency, West Papua Province, Indonesia based on analysis of a high-resolution of global gravity field: Implications on the Earthquake Source Parameters

A Note on the Use of the Second Vertical Derivative (SVD) of Gravity Data with Reference to Indonesian Cases

Contact Info

Product

Resources

About