Artificial intelligence and 3D subsurface interpretation for bright spot and channel detections
Seismic interpretation is primarily concerned with accurately characterizing underground geological structures & lithology and identifying hydrocarbon-containing rocks. The carbonates in the Netherlands have attracted considerable interest lately because of their potential as a petroleum or geot...
Saved in:
Main Authors: | Yasir Bashir, Muhammad Afiq Aiman Bin Zahari, Abdullah Karaman, Doğa Doğan, Zeynep Döner, Ali Mohammadi, Syed Haroon Ali |
---|---|
Format: | Article |
Language: | English |
Published: |
AIMS Press
2024-09-01
|
Series: | AIMS Geosciences |
Subjects: | |
Online Access: | https://www.aimspress.com/article/doi/10.3934/geosci.2024034 |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Optimizing petrophysical property prediction in fluvial-deltaic reservoirs: a multi-seismic attribute transformation and probabilistic neural network approach
by: Muhammad Khan, et al.
Published: (2025-02-01) -
Methodology and Results of Detailed 3D Seismic Exploration in the Zhezkazgan Ore District
by: Arman Sirazhev, et al.
Published: (2025-01-01) -
Applying Interpretation Results of Drill Stem Test to Evaluate the Lower Miocene Formation in Bao Den Oilfield, Cuu Long Basin
by: Nguyen Tuan, et al.
Published: (2024-12-01) -
Identification of subsurface cavities in urban environment
by: Boualem BOUYAHIAOUI, et al.
Published: (2025-01-01) -
Is subsurface geophysics as seismic and acoustic investigations a rescue to groundwater flow inversion?
by: Delay, Frederick, et al.
Published: (2022-10-01)