The Experts below are selected from a list of 315 Experts worldwide ranked by ideXlab platform
Alessandro Cantelli - One of the best experts on this subject based on the ideXlab platform.
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Facies architecture of submarine channel deposits on the western Niger Delta slope: Implications for grain‐size and density stratification in turbidity currents
Journal of Geophysical Research, 2017Co-Authors: Zane Richards Jobe, Zoltan Sylvester, Nick Howes, Carlos Pirmez, Michele Bolla Pittaluga, Alessandro Frascati, Daniel Minisini, Alessandro CantelliAbstract:High-resolution bathymetry, seismic reflection, and piston core data from a submarine channel on the western Niger Delta slope demonstrate that thick, coarse-grained, amalgamated sands in the channel Thalweg/axis transition to thin, fine-grained, bedded sands and muds in the channel margin. Radiocarbon ages indicate that axis and margin deposits are coeval. Core data show that bed thickness, grain size, and deposition rate strongly decrease with increasing height above channel Thalweg and/or distance from channel centerline. A 5 times decrease in bed thickness and 1–2 ψ decrease in grain size are evident over a 20 m elevation change (approximately the elevation difference between axis and margin). A simplified in-channel sedimentation model that solves vertical concentration and velocity profiles of turbidity currents accurately reproduces the vertical trends in grain size and bed thickness shown in the core data set. The close match between data and model suggests that the vertical distribution of grain size and bed thickness shown in this study is widely applicable and can be used to predict grain size and facies variation in data-poor areas (e.g., subsurface cores). This study emphasizes that facies models for submarine channel deposits should recognize that grain-size and thickness trends within contemporaneous axis-margin packages require a change in elevation above the Thalweg. The transition from thick-bedded, amalgamated, coarser-grained sands to thin-bedded, nonamalgamated, finer-grained successions is primarily a reflection of a change in elevation. Even a relatively small elevation change (e.g., 1 m) is enough to result in a significant change in grain size, bed thickness, and facies.
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facies architecture of submarine channel deposits on the western niger delta slope implications for grain size and density stratification in turbidity currents
Journal of Geophysical Research, 2017Co-Authors: Zoltan Sylvester, Nick Howes, Carlos Pirmez, Zane Richards Jobe, Michele Bolla Pittaluga, Alessandro Frascati, Daniel Minisini, Alessandro CantelliAbstract:High-resolution bathymetry, seismic reflection, and piston core data from a submarine channel on the western Niger Delta slope demonstrate that thick, coarse-grained, amalgamated sands in the channel Thalweg/axis transition to thin, fine-grained, bedded sands and muds in the channel margin. Radiocarbon ages indicate that axis and margin deposits are coeval. Core data show that bed thickness, grain size, and deposition rate strongly decrease with increasing height above channel Thalweg and/or distance from channel centerline. A 5 times decrease in bed thickness and 1–2 ψ decrease in grain size are evident over a 20 m elevation change (approximately the elevation difference between axis and margin). A simplified in-channel sedimentation model that solves vertical concentration and velocity profiles of turbidity currents accurately reproduces the vertical trends in grain size and bed thickness shown in the core data set. The close match between data and model suggests that the vertical distribution of grain size and bed thickness shown in this study is widely applicable and can be used to predict grain size and facies variation in data-poor areas (e.g., subsurface cores). This study emphasizes that facies models for submarine channel deposits should recognize that grain-size and thickness trends within contemporaneous axis-margin packages require a change in elevation above the Thalweg. The transition from thick-bedded, amalgamated, coarser-grained sands to thin-bedded, nonamalgamated, finer-grained successions is primarily a reflection of a change in elevation. Even a relatively small elevation change (e.g., 1 m) is enough to result in a significant change in grain size, bed thickness, and facies.
Zane Richards Jobe - One of the best experts on this subject based on the ideXlab platform.
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Facies architecture of submarine channel deposits on the western Niger Delta slope: Implications for grain‐size and density stratification in turbidity currents
Journal of Geophysical Research, 2017Co-Authors: Zane Richards Jobe, Zoltan Sylvester, Nick Howes, Carlos Pirmez, Michele Bolla Pittaluga, Alessandro Frascati, Daniel Minisini, Alessandro CantelliAbstract:High-resolution bathymetry, seismic reflection, and piston core data from a submarine channel on the western Niger Delta slope demonstrate that thick, coarse-grained, amalgamated sands in the channel Thalweg/axis transition to thin, fine-grained, bedded sands and muds in the channel margin. Radiocarbon ages indicate that axis and margin deposits are coeval. Core data show that bed thickness, grain size, and deposition rate strongly decrease with increasing height above channel Thalweg and/or distance from channel centerline. A 5 times decrease in bed thickness and 1–2 ψ decrease in grain size are evident over a 20 m elevation change (approximately the elevation difference between axis and margin). A simplified in-channel sedimentation model that solves vertical concentration and velocity profiles of turbidity currents accurately reproduces the vertical trends in grain size and bed thickness shown in the core data set. The close match between data and model suggests that the vertical distribution of grain size and bed thickness shown in this study is widely applicable and can be used to predict grain size and facies variation in data-poor areas (e.g., subsurface cores). This study emphasizes that facies models for submarine channel deposits should recognize that grain-size and thickness trends within contemporaneous axis-margin packages require a change in elevation above the Thalweg. The transition from thick-bedded, amalgamated, coarser-grained sands to thin-bedded, nonamalgamated, finer-grained successions is primarily a reflection of a change in elevation. Even a relatively small elevation change (e.g., 1 m) is enough to result in a significant change in grain size, bed thickness, and facies.
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facies architecture of submarine channel deposits on the western niger delta slope implications for grain size and density stratification in turbidity currents
Journal of Geophysical Research, 2017Co-Authors: Zoltan Sylvester, Nick Howes, Carlos Pirmez, Zane Richards Jobe, Michele Bolla Pittaluga, Alessandro Frascati, Daniel Minisini, Alessandro CantelliAbstract:High-resolution bathymetry, seismic reflection, and piston core data from a submarine channel on the western Niger Delta slope demonstrate that thick, coarse-grained, amalgamated sands in the channel Thalweg/axis transition to thin, fine-grained, bedded sands and muds in the channel margin. Radiocarbon ages indicate that axis and margin deposits are coeval. Core data show that bed thickness, grain size, and deposition rate strongly decrease with increasing height above channel Thalweg and/or distance from channel centerline. A 5 times decrease in bed thickness and 1–2 ψ decrease in grain size are evident over a 20 m elevation change (approximately the elevation difference between axis and margin). A simplified in-channel sedimentation model that solves vertical concentration and velocity profiles of turbidity currents accurately reproduces the vertical trends in grain size and bed thickness shown in the core data set. The close match between data and model suggests that the vertical distribution of grain size and bed thickness shown in this study is widely applicable and can be used to predict grain size and facies variation in data-poor areas (e.g., subsurface cores). This study emphasizes that facies models for submarine channel deposits should recognize that grain-size and thickness trends within contemporaneous axis-margin packages require a change in elevation above the Thalweg. The transition from thick-bedded, amalgamated, coarser-grained sands to thin-bedded, nonamalgamated, finer-grained successions is primarily a reflection of a change in elevation. Even a relatively small elevation change (e.g., 1 m) is enough to result in a significant change in grain size, bed thickness, and facies.
Marieke Van Hout - One of the best experts on this subject based on the ideXlab platform.
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Seismic classification: A Thalweg tracking/machine learning approach
First Break, 2021Co-Authors: Paul De Groot, Mike Pelissier, Marieke Van HoutAbstract:Abstract We describe a machine learning seismic classification workflow in which the thousands of class labels needed for training a deep graph are automatically generated from just a handful of manually picked seed positions. The class labels are generated by a Thalweg tracker. This special kind of connectivity filter grows a 3D body of user-defined size from a single seed position by adding only one point at a time. The user controls the size such that the tracker stays within one seismic class. The shape of the growing body is the main criterion for deciding when and where the tracker starts tracking another class. We present two examples. The first example is a 3D seismic facies classification of a setting with stacked meandering channels. We classify the target interval into eight seismic facies classes. In the second example, we extract turbidite channels from a two-pass gradient (i.e., second derivative) attribute volume.
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seismic classification a Thalweg tracking machine learning approach
First Break, 2021Co-Authors: Paul De Groot, Mike Pelissier, Marieke Van HoutAbstract:Abstract We describe a machine learning seismic classification workflow in which the thousands of class labels needed for training a deep graph are automatically generated from just a handful of manually picked seed positions. The class labels are generated by a Thalweg tracker. This special kind of connectivity filter grows a 3D body of user-defined size from a single seed position by adding only one point at a time. The user controls the size such that the tracker stays within one seismic class. The shape of the growing body is the main criterion for deciding when and where the tracker starts tracking another class. We present two examples. The first example is a 3D seismic facies classification of a setting with stacked meandering channels. We classify the target interval into eight seismic facies classes. In the second example, we extract turbidite channels from a two-pass gradient (i.e., second derivative) attribute volume.
Zoltan Sylvester - One of the best experts on this subject based on the ideXlab platform.
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Facies architecture of submarine channel deposits on the western Niger Delta slope: Implications for grain‐size and density stratification in turbidity currents
Journal of Geophysical Research, 2017Co-Authors: Zane Richards Jobe, Zoltan Sylvester, Nick Howes, Carlos Pirmez, Michele Bolla Pittaluga, Alessandro Frascati, Daniel Minisini, Alessandro CantelliAbstract:High-resolution bathymetry, seismic reflection, and piston core data from a submarine channel on the western Niger Delta slope demonstrate that thick, coarse-grained, amalgamated sands in the channel Thalweg/axis transition to thin, fine-grained, bedded sands and muds in the channel margin. Radiocarbon ages indicate that axis and margin deposits are coeval. Core data show that bed thickness, grain size, and deposition rate strongly decrease with increasing height above channel Thalweg and/or distance from channel centerline. A 5 times decrease in bed thickness and 1–2 ψ decrease in grain size are evident over a 20 m elevation change (approximately the elevation difference between axis and margin). A simplified in-channel sedimentation model that solves vertical concentration and velocity profiles of turbidity currents accurately reproduces the vertical trends in grain size and bed thickness shown in the core data set. The close match between data and model suggests that the vertical distribution of grain size and bed thickness shown in this study is widely applicable and can be used to predict grain size and facies variation in data-poor areas (e.g., subsurface cores). This study emphasizes that facies models for submarine channel deposits should recognize that grain-size and thickness trends within contemporaneous axis-margin packages require a change in elevation above the Thalweg. The transition from thick-bedded, amalgamated, coarser-grained sands to thin-bedded, nonamalgamated, finer-grained successions is primarily a reflection of a change in elevation. Even a relatively small elevation change (e.g., 1 m) is enough to result in a significant change in grain size, bed thickness, and facies.
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facies architecture of submarine channel deposits on the western niger delta slope implications for grain size and density stratification in turbidity currents
Journal of Geophysical Research, 2017Co-Authors: Zoltan Sylvester, Nick Howes, Carlos Pirmez, Zane Richards Jobe, Michele Bolla Pittaluga, Alessandro Frascati, Daniel Minisini, Alessandro CantelliAbstract:High-resolution bathymetry, seismic reflection, and piston core data from a submarine channel on the western Niger Delta slope demonstrate that thick, coarse-grained, amalgamated sands in the channel Thalweg/axis transition to thin, fine-grained, bedded sands and muds in the channel margin. Radiocarbon ages indicate that axis and margin deposits are coeval. Core data show that bed thickness, grain size, and deposition rate strongly decrease with increasing height above channel Thalweg and/or distance from channel centerline. A 5 times decrease in bed thickness and 1–2 ψ decrease in grain size are evident over a 20 m elevation change (approximately the elevation difference between axis and margin). A simplified in-channel sedimentation model that solves vertical concentration and velocity profiles of turbidity currents accurately reproduces the vertical trends in grain size and bed thickness shown in the core data set. The close match between data and model suggests that the vertical distribution of grain size and bed thickness shown in this study is widely applicable and can be used to predict grain size and facies variation in data-poor areas (e.g., subsurface cores). This study emphasizes that facies models for submarine channel deposits should recognize that grain-size and thickness trends within contemporaneous axis-margin packages require a change in elevation above the Thalweg. The transition from thick-bedded, amalgamated, coarser-grained sands to thin-bedded, nonamalgamated, finer-grained successions is primarily a reflection of a change in elevation. Even a relatively small elevation change (e.g., 1 m) is enough to result in a significant change in grain size, bed thickness, and facies.
Paul De Groot - One of the best experts on this subject based on the ideXlab platform.
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Seismic classification: A Thalweg tracking/machine learning approach
First Break, 2021Co-Authors: Paul De Groot, Mike Pelissier, Marieke Van HoutAbstract:Abstract We describe a machine learning seismic classification workflow in which the thousands of class labels needed for training a deep graph are automatically generated from just a handful of manually picked seed positions. The class labels are generated by a Thalweg tracker. This special kind of connectivity filter grows a 3D body of user-defined size from a single seed position by adding only one point at a time. The user controls the size such that the tracker stays within one seismic class. The shape of the growing body is the main criterion for deciding when and where the tracker starts tracking another class. We present two examples. The first example is a 3D seismic facies classification of a setting with stacked meandering channels. We classify the target interval into eight seismic facies classes. In the second example, we extract turbidite channels from a two-pass gradient (i.e., second derivative) attribute volume.
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seismic classification a Thalweg tracking machine learning approach
First Break, 2021Co-Authors: Paul De Groot, Mike Pelissier, Marieke Van HoutAbstract:Abstract We describe a machine learning seismic classification workflow in which the thousands of class labels needed for training a deep graph are automatically generated from just a handful of manually picked seed positions. The class labels are generated by a Thalweg tracker. This special kind of connectivity filter grows a 3D body of user-defined size from a single seed position by adding only one point at a time. The user controls the size such that the tracker stays within one seismic class. The shape of the growing body is the main criterion for deciding when and where the tracker starts tracking another class. We present two examples. The first example is a 3D seismic facies classification of a setting with stacked meandering channels. We classify the target interval into eight seismic facies classes. In the second example, we extract turbidite channels from a two-pass gradient (i.e., second derivative) attribute volume.
