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Thang Ha
Thang Ha
Verified email at ou.edu
Title
Cited by
Cited by
Year
Highly aliased ground-roll suppression using a 3D multiwindow Karhunen-Loeve filter: Application to a legacy Mississippi Lime survey
S Verma, S Guo, T Ha, KJ Marfurt
Geophysics 81 (1), V79-V88, 2016
232016
Calibration of attribute anomalies through prestack seismic modeling
S Verma, O Mutlu, T Ha, W Bailey, KJ Marfurt
Interpretation 3 (4), SAC55-SAC70, 2015
92015
Exhaustive probabilistic neural network for attribute selection and supervised seismic facies classification
D Lubo-Robles, T Ha, S Lakshmivarahan, KJ Marfurt, MJ Pranter
Interpretation 9 (2), T421-T441, 2021
82021
Supervised seismic facies classification using probabilistic neural networks: Which attributes should the interpreter use?
D Lubo-Robles, T Ha, S Lakshmivarahan, KJ Marfurt
SEG International Exposition and Annual Meeting, 2019
82019
Quantifying the significance of coherence anomalies
T Lin, T Ha, KJ Marfurt, KL Deal
Interpretation 4 (2), T205-T213, 2016
82016
Pitfalls and implementation of data conditioning, attribute analysis, and self-organizing maps to 2D data: Application to the Exmouth Plateau, North Carnarvon Basin, Australia
TN Ha, KJ Marfurt, BC Wallet, B Hutchinson
Interpretation 7 (3), SG23-SG42, 2019
52019
Seismic reprocessing and interpretation of a fractured-basement play: Texas Panhandle
T Ha, K Marfurt
Interpretation 5 (3), SK179-SK187, 2017
42017
Seismic interpretation of the Exmouth Plateau, North Carnarvon Basin, Australia: An application of data conditioning, seismic attributes, and self-organizing map on 2D data
T Ha, B Wallet, K Marfurt
2017 SEG International Exposition and Annual Meeting, 2017
32017
The value of constrained conjugate-gradient least-squares migration in seismic inversion: Application to a fractured-basement play, Texas Panhandle
T Ha, K Marfurt
Interpretation 5 (3), SN13-SN23, 2017
32017
Quantitative-statistical relationship between seismic attributes and wastewater injection parameters in Oklahoma
G Machado, T Ha, K Marfurt
2018 SEG International Exposition and Annual Meeting, 2018
22018
Seismic characterization of a Triassic-Jurassic deep geothermal sandstone reservoir, onshore Denmark, using unsupervised machine learning techniques
S Chopra, RK Sharma, K Bredesen, T Ha, KJ Marfurt
Interpretation 9 (4), T1097-T1106, 2021
12021
Seismic data conditioning, attribute analysis, and machine-learning facies classification: applications to Texas panhandle, Australia, New Zealand, and Gulf of Mexico
T Ha
12021
Deep learning method for latent space analysis
B Wallet, T Ha
SPE Middle East Oil and Gas Show and Conference, 2019
12019
Seismic reprocessing and interpretation of a shallow “buried-hill” play: Texas Panhandle
T Ha*
SEG Technical Program Expanded Abstracts 2015, 1830-1834, 2015
12015
A review of some amplitude-based seismic geometric attributes and their applications
S Verma, S Chopra, T Ha, F Li
Interpretation 10 (1), B1-B12, 2022
2022
Seismic characterization of the Middle Jurassic Hugin sandstone reservoir in the southern Norwegian North Sea with unsupervised machine learning applications for facies …
S Chopra, T Ha, JM Kurt, RK Sharma
First Break 39 (12), 35-44, 2021
2021
Improving seismic image and impedance inversion of the Texas Panhandle fractured-basement reservoir: An application of the constrained conjugate-gradients least-squares migration
T Ha, K Marfurt, B Lyu
SEG Technical Program Expanded Abstracts 2017, 2405-2409, 2017
2017
Arctic glacial deposits: A comprehensive 2D seismic processing and interpretation workflow
T Ha, M Kang
2016 SEG International Exposition and Annual Meeting, 2016
2016
Machine Learning Applications using Seismic Attributes–A Hands-On Course Part 5c: Attribute Selection and Supervised Classification
D Lubo-Robles, T Ha, J Qi, Y Kim, KJ Marfurt
Machine Learning Applications using Seismic Attributes A Hands-On Course Part 3b: Attribute Image Enhancement
KJ Marfurt, T Ha, D Lubo-Robles
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Articles 1–20