Machine learning elucidates the anatomy of buried carbonate reef from seismic reflection data-Reference-Cited by-同舟云学术

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Machine learning elucidates the anatomy of buried carbonate reef from seismic reflection data

Published:2023-12 Issue: Volume:4 Page:59-67
ISSN:2666-5441
Container-title:Artificial Intelligence in Geosciences
language:en
Short-container-title:Artificial Intelligence in Geosciences

Author:

Kumar Priyadarshi Chinmoy,Sain Kalachand

Funder

Department of Science and Technology, Ministry of Science and Technology, India

Publisher

Elsevier BV

Subject

Artificial Intelligence,Earth and Planetary Sciences (miscellaneous),Computers in Earth Sciences,Control and Systems Engineering

Reference37 articles.

1. Geology of Carbonate Reservoirs: the Identification, Description and Characterization of Hydrocarbon Reservoirs in Carbonate Rocks;Ahr,2011

2. Handbook of Post-stack Seismic Attributes, SEG, Tusla;Barnes,2016

3. Methods for identification of isolated carbonate buildups from seismic reflection dataIdentification of Isolated Carbonate Buildups from Seismic Reflection Data;Burgess;AAPG Bull.,2013

4. Seismic Attributes for Prospect Identification and Reservoir Characterization;Chopra,2007

5. Poseidon 3D Marine Surface Seismic Survey Interpretation Report;ConocoPhillips,2012

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A precise and refined identification method for carbonate bioreefs and prograding bodies guided by a knowledge graph;Interpretation;2024-06-13

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