| Anotácia | The LTHG and EHGA methods are enhancement versions of the gradient amplitude and can outline the edges of shallow and deep anomalous bodies simultaneously. Recently, these techniques have been used in approximating the edges of gravity and magnetic data. In this paper, we apply the LTHG and EHGA methods to the gravity dataset from the global gravity model WGM2012 to extract structural features of Northeastern Laos that appear as lineaments on transformed data maps. We also apply the tilt depth method to this dataset to estimate the depth of these lineaments. The findings showed that most of structures identified in Northeastern Laos are trending in the ENE-WSW, NE-SW, E-W, WNW-ESE and N-S directions with the depth ranging from 1.3 to 2.1 km.
|
|---|
| Kategória ohlasu | OGUNGBEMI, Oluwaseun Samuel - OYEBODE, Kazeem - BADMUS, Ganiyu Olabode - OGUNYEMI, Adebayo Tajudeen. Modeling of structural features from aeromagnetic maps using an improved deep learning technique. In Earth science informatics. ISSN 1865-0473, 2022, vol. 15, no. 4, pp. 2665-2671.
XU, Menglong - YANG, Yabin - SUN, Chengye - QIU, Gengen - CHEN, Liang - JING, Lei. Geophysical characterisation and oil-gas resource analysis of the Southern Huaying Mountain fault zone, Sichuan Basin, China. In Minerals. ISSN 2075-163X, 2023, vol. 13, no. 2, pp. 1-21.
PRASAD, Korimilli Naga Durga - PHAM, Luan Thanh - SINGH, Anand P. - ELDOSOUKY, Ahmed M. - ABDELRAHMAN, Kamal - FNAIS, Mohammed S. - GOMEZ-ORTIZ, David. A novel enhanced total gradient (ETG) for interpretation of magnetic data. In Minerals. ISSN 2075-163X, 2022. vol. 12, no. 11, pp. 1-16.
|
|---|
