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Hiren Maniar

Observed name: H. Maniar
ORCID: 0000-0002-1946-3326
Observed ORCID: 0000-0002-1946-3326
OpenAlex ID: A5063881188
Seismic stratigraphy interpretation by deep convolutional neural networks: A semisupervised workflow
2020 · Haibin Di, Zhun Li, et al. · Geophysics · 90
Machine-learning methods in geoscience
2018 · Hiren Maniar, Srikanth Ryali, et al. · Second International Meeting for Applied Geoscience & Energy · 54
Wasserstein cycle-consistent generative adversarial network for improved seismic impedance inversion: Example on 3D SEAM model
2020 · Ao Cai, Haibin Di, et al. · Second International Meeting for Applied Geoscience & Energy · 38
Chronux: a platform for analyzing neural signals
2009 · Hemant S Bokil, Peter Andrews, et al. · BMC Neuroscience · 33
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A Deep-learning Approach for Borehole Image Interpretation
2019 · Kinjal Dhar Gupta, Valentina Vallega, et al. · SPWLA Annual Logging Symposium · 22
Semi-Supervised DeepMachine Learning Assisted Seismic Image Segmentation and Stratigraphic Sequence Interpretation
2019 · Z. Li, H. Di, et al. · EAGE Annual Conference & Exhibition · 21
Semi-supervised seismic and well log integration for reservoir property estimation
2020 · Haibin Di, Xiaoli Chen, et al. · Second International Meeting for Applied Geoscience & Energy · 19
Ground roll attenuation with an unsupervised deep learning approach
2020 · Rui Guo, Hiren Maniar, et al. · Second International Meeting for Applied Geoscience & Energy · 15
Concentration maximization and local basis expansions (LBEX) for linear inverse problems
2006 · P.P. Mitra, H. Maniar · IEEE Transactions on Biomedical Engineering · 14
Seismic stratigraphy interpretation via deep convolutional neural networks
2019 · Haibin Di, Zhun Li, et al. · Second International Meeting for Applied Geoscience & Energy · 13
NLP applications in the oil and natural gas industry
2022 · Prashanth Pillai, Srikanth Ryali, et al. · Second International Meeting for Applied Geoscience & Energy · 10
An Unsupervised Stochastic Machine Learning Approach for Well Log Outlier Identification
2022 · Ridvan Akkurt, Bhuvaneswari Sankaranarayanan, et al. · Unconventional Resources Technology Conference (URTeC) · 10
The concentration problem for vector fields
2005 · Hiren Maniar, Partha P. Mitra · Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory) · 10
Comparative Study of Machine-Learning-Based Methods for Log Prediction
2023 · SLB, Vanessa Simoes, et al. · Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description · 9
Local Basis Expansions for MEG Source Localization.
2005 · Partha P. Mitra, Hiren Maniar · Cold Spring Harbor Laboratory Institutional Repository (Cold Spring Harbor Laboratory) · 7
Seismic Acoustic Impedance Estimation by Learning From Sparse Wells via Deep Neural Networks
2021 · H. Di, X. Chen, et al. · EAGE Annual Conference & Exhibition · 5
Deep Learning for Multiwell Automatic Log Correction
2022 · SLB, Vanessa Simoes, et al. · Petrophysics – The SPWLA Journal of Formation Evaluation and Reservoir Description · 4
Computational Intelligence in Electrophysiology: Trends and Open Problems
2008 · Cengiz Günay, Tomasz G. Smolinski, et al. · Studies in computational intelligence · 4
Advancement in Seismic Data Conditioning Using Tailored Deep Neural Networks
2024 · Mujeeb Oke, Hesham Hasan, et al. · Abu Dhabi International Petroleum Exhibition & Conference (ADIPEC) · 3
Deep Learning for Multiwell Automatic Correction
2022 · Schlumberger, Vanessa Simoes, et al. · SPWLA Annual Logging Symposium · 3
An artificial intelligence workflow for horizon volume generation from 3D seismic data
2024 · Aria Abubakar, Haibin Di, et al. · The Leading Edge · 2
Outlier Identification and Log Reconstruction Using Deep Learning
2023 · V. Simoes, H. Maniar, et al. · EAGE Annual Conference & Exhibition · 2
A Comparative Study for Machine-Learning-Based Methods for Log Prediction
2022 · Schlumberger, Vanessa Simoes, et al. · SPWLA Annual Logging Symposium · 1
A semi-supervised learning framework for seismic acoustic impedance estimation
2020 · H. Di, X. Chen, et al. · EAGE/AAPG Digital Subsurface for Asia Pacific Conference
Works count: 24
Citation count: 389
H-index: 10
I10-index: 13
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