Index of /aaspi/recorded_presentations/2022

[ICO]NameLast modifiedSizeDescription

[DIR]Parent Directory  -  
[VID]AASPI2021ReviewMeeting_AASPIDemo_David.mp419-Jan-2022 11:51 386M 
[VID]AASPI2021ReviewMeeting_AASPIDemo_Thang.mp419-Jan-2022 11:54 173M 
[VID]AASPI2021ReviewMeeting_CNN_BuistBobby.mp419-Jan-2022 11:58 291M 
[VID]AASPI2021ReviewMeeting_SeismicPhaseComponentsFromTimeFrequencyAnalysis_MatosMarcilio.mp419-Jan-2022 12:16 1.1G 
[VID]AASPI2021ReviewMeeting_SemiSupervisedWellLogCorrelation_SinhaSaurabh.mp419-Jan-2022 12:23 414M 
[   ]AASPI_2022_Saurabh.pptx12-Jan-2022 10:58 6.2M 
[   ]AASPI_2022_intro.pptx13-Jan-2022 09:19 68M 
[   ]Common pitfalls and limitations in seismic attribute analysis w recording.pptx07-Nov-2022 15:06 308M 
[VID]Emily_Jackson_Hydrate_Studies_AASPI_2022_Meeting.mov11-Jan-2022 18:16 12M 
[   ]Marfurt_AAPG_DL_Common_pitfalls_and_limitations_in_seismic_attribute_analysis.pptx07-Nov-2022 10:47 249M 
[VID]Pires_de_Lima_2022-Concolutional_neural_networks_and_transfer_learning_applications_in_geosciences.mp410-Jan-2022 17:56 40M 
[VID]Room2 1000 Zhang_2022-A_comprehensive_comparison_of_generating_seismic_fault_attribute_using_deep_learning_dl.mp410-Jan-2022 18:01 343M 
[VID]Room2 1030 Zhang_2022-Predicting_the_azimuth_of_in-situ_horizontal_stress_by_integrating_multi-discipline_data.mp410-Jan-2022 18:04 243M 
[VID]Room3 1030 Leopoldino_and_Bedle_2022-Unsupervised_ML_applied_to_seismic_characterization_and_deepwater_elements_indentification_in_Ceara_Basin_Brazil.mp410-Jan-2022 18:08 269M 
[VID]Room4 1030 Salazar_and_Bedle_2022-Study_on_the_parameterization_response_of_the_probabilistic_neural_network_for_seismic_facies_classification.mp410-Jan-2022 18:15 433M 
[   ]Room4 1030 Vera_and_Bedle_2022-Generative_adversarial_network_for_facies_and_reservoir_classification.pptx10-Jan-2022 18:15 19M 
[VID]Verma_2022-A_new_workflow_for_multi-well_lithofacies_interpretation_integrating_joint_petrophysical_inversion_unsupervised_and_supervised_machine_learning.mp410-Jan-2022 18:21 405M 
[VID]Verma_and_Bhattacharya_2022-Unsupervised_machine_learning_for_interpreting_shelf-to-basin_seismic_geomorphology_and_paleoclimate.mp410-Jan-2022 18:26 291M 

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