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Ditemukan 3 dari pencarian Anda melalui kata kunci: subject="Seismic attributes"
cover
Researching Holocene Sediments at Bac Lieu Offshore, Vietnam with Insights fr…
Komentar Bagikan
Dung Quang NguyenCuong Van Anh LeThuan Van NguyenTuan Van Huynh

The high-resolution seismic method can provide acoustic reflectivity images of shallow marine geology structures. In South Vietnam, the demand for construction materials like sand is high; therefore, the exploration of its deposits is considered in this study. This study investigated an around 200-square-kilometer area offshore Bac Lieu using 2D seismic sub-bottom lines. We employed the process…

Edisi
Vol.15, Issue 3, March 2025
ISBN/ISSN
2076-3263
Deskripsi Fisik
18 hlm PDF, 7.965 KB
Judul Seri
Geosciences
No. Panggil
550
cover
Machine learning elucidates the anatomy of buried carbonate reef from seismic…
Komentar Bagikan
Priyadarshi Chinmoy KumarKalachand Sain

A carbonate build-up or reef is a thick carbonate deposit consisting of mainly skeletal remains of organisms that can be large enough to develop a favourable topography. Delineation of such geologic features provides important input in understanding the basin's evolution and petroleum prospects. Here, we introduce a new attribute called the Reef Cube (RC) meta-attribute that has been computed b…

Edisi
Vol.4, December 2023
ISBN/ISSN
2666-5441
Deskripsi Fisik
9 hlm PDF, 9.753 KB
Judul Seri
Artificial Intelligence in Geosciences
No. Panggil
551
cover
Improved reservoir characterization of thin beds by advanced deep learning ap…
Komentar Bagikan
Umar ManzoorMuhsan EhsanMuyyassar HussainYasir Bashir

Targeting reservoirs below seismic resolution presents a major challenge in reservoir characterization. High-resolution seismic data is critical for imaging the thin gas-bearing Khadro sand facies in several fields within the Lower Indus Basin (LIB). To truly characterize thin beds below tuning thickness, we showcase an optimally developed deep learning technique that can save up to 75% turn-ar…

Edisi
Vol.23, September 2024
ISBN/ISSN
2590-1974
Deskripsi Fisik
12 hlm PDF, 15.238 KB
Judul Seri
Applied Computing and Geoscience - Open Access
No. Panggil
551.136