Structural interpretation of SW part of Denizli, Turkey, based on gravity data analysis

2020 ◽  
Vol 13 (8) ◽  
Author(s):  
Fatma Figen ALTINOĞLU
Keyword(s):  
Data Analysis ◽  
Gravity Data ◽  
Structural Interpretation

scholarly journals Structural interpretation of Mae Suai Basin, Chiang Rai Province, based on gravity data analysis and modelling

Heliyon ◽  
2019 ◽  
Vol 5 (2) ◽  
pp. e01232 ◽  
Author(s):  
Suebchat Kanthiya ◽  
Niti Mangkhemthong ◽  
Christopher K. Morley
Keyword(s):  
Data Analysis ◽  
Gravity Data ◽  
Structural Interpretation

Gravity data analysis of Ungaran Volcano, Indonesia

2011 ◽  
Vol 5 (5) ◽  
pp. 1047-1054 ◽  
Author(s):  
Hakim Saibi ◽  
Essam Aboud ◽  
Agus Setyawan ◽  
Sachio Ehara ◽  
Jun Nishijima
Keyword(s):  
Data Analysis ◽  
Gravity Data

scholarly journals Generalized gravity gradient analysis for 2-D inversion

Geophysics ◽  
1995 ◽  
Vol 60 (4) ◽  
pp. 1018-1028 ◽  
Author(s):  
Dwain K. Butler
Keyword(s):  
Gravity Data ◽  
Vertical Gradient ◽  
Diagnostic Information ◽  
Effective Density ◽  
Gravity Gradient ◽  
Horizontal Gradient ◽  
Plate Model ◽  
Structural Interpretation ◽  
Gradient Profile ◽  
Inversion Procedure

Gravity gradient profiles across subsurface structures that are approximately 2-D contain diagnostic information regarding depth, size, and structure (geometry). Gradient space plots, i.e., plots of horizontal gradient versus vertical gradient, present the complete magnitude and phase information in the gradient profiles simultaneously. Considerable previous work demonstrates the possibility for complete structural interpretation of a truncated plate model from the gradient space plot. The qualitative and quantitative diagnostic information contained in gradient space plots is general, however. Examination of the characteristics of gradient space plots reveals that 2-D structures are readily classified as extended or localized. For example, the truncated plate model is an extended model, while the faulted plate model is a localized model. Comparison of measured or calculated gradient space plots to a model gradient space plot catalog allows a rapid, qualitative determination of structure or geometry. “Corners” of a polygonal cross‐section model are then determined as profile points corresponding to maxima on the vertical gradient profile. A generalized approach to structural interpretation from gravity data consists of (1) determining vertical and horizontal gradient profiles perpendicular to the strike of a 2-D gravity anomaly, (2) determining the structural geometry from the gradient space plot, and (3) locating profile positions of structural corners from the vertical gradient profile. This generalized inversion procedure requires no quantitative information or assumption regarding density contrasts. Iterative forward modeling then predicts the density contrasts. Application of this generalized gravity gradient inversion procedure to high quality gravity data results in an effective density prediction consistent with measured near‐surface densities and the known increase in density with depth in deep sedimentary basins.

Structural interpretation of gravity data in Garoua, North Cameroon

2021 ◽  
Vol 14 (19) ◽  
Author(s):  
Quentin Marc Anaba Fotze ◽  
Yannick Sthopira Djonthu Lahe ◽  
Théophile Ndougsa Mbarga ◽  
Marcelin Bikoro Bi-Alou ◽  
Alan Reid ◽  
...  
Keyword(s):  
Gravity Data ◽  
Structural Interpretation

Structure of giant buried mud volcanoes in the South Caspian Basin: Enhanced seismic image and field gravity data by using normalized full gradient method

2018 ◽  
Vol 6 (4) ◽  
pp. T861-T872
Author(s):  
Mehrdad Soleimani ◽  
Hamid Aghajani ◽  
Saeed Heydari-Nejad
Keyword(s):  
Seismic Data ◽  
Root Zone ◽  
Gravity Data ◽  
Complex Structure ◽  
Normal Faults ◽  
Mud Volcanoes ◽  
South Caspian Basin ◽  
Structural Interpretation ◽  
Seismic Image ◽  
Normalized Full Gradient

Defining the root zone of mud volcanoes (MVs), structural interpretation, and geologic modeling of their body is a problematic task when only seismic data are available. We have developed a strategy for integration of gravity and seismic data for better structural interpretation. Our strategy uses the concept of the normalized full gradient (NFG) for integration of gravity and seismic data to define geometry and the root zone of MVs in the southeast onshore of the Caspian Sea. Our strategy will increase the resolution of the seismic envelope compared with the conventional Hilbert transform. Prior to interpretation, we applied the NFG method on field gravity data. First, we perform a forward-modeling step for accurate NFG parameter definition. Second, we estimate the depth of the target, which is the root zone of the MV here. Interpretation of field gravity data by optimized NFG parameters indicates an accurate depth of the root zone. Subsequently, we apply the NFG method with optimized parameters on a 2D seismic data. Application of our strategy on seismic data will enhance resolution of the seismic image. The depth of the root zone and the geometry of the MV and mud flows was interpreted better on the enhanced image. It also illustrates the complex structure of a giant buried MV, which was not well-interpreted on conventional seismic image. Interpretation of the processed data reveals that the giant MV had lost its connection to its reservoir, whereas the other MV is still connected to the mud reservoir. The giant MV is composed of complex bodies due to pulses in the mud flows. Another MV in the section indicates narrow neck with anticline and listric normal faults on its top. Thus, application of the NFG concept on seismic image could be considered as an alternative to obtain enhanced seismic image for geologic interpretation.

Understanding salt tectonics in Northern Tunisia - Insight from gravity data analysis

2015 ◽  
Author(s):  
Imen Hamdi Nasr* ◽  
Kawtahr Sebei ◽  
Haifa Boussigua ◽  
Benen Sarsar ◽  
Amiri Adnen ◽  
...  
Keyword(s):  
Data Analysis ◽  
Gravity Data ◽  
Salt Tectonics ◽  
Northern Tunisia
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