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[HTML][HTML] The minerals industry in the era of digital transition: An energy-efficient and environmentally conscious approach
The concept of the 4th industrial revolution is becoming a strategic determinant of
sustainability, success and competitiveness in the modern mining sector. The importance of …
sustainability, success and competitiveness in the modern mining sector. The importance of …
Building realistic structure models to train convolutional neural networks for seismic structural interpretation
Seismic structural interpretation involves highlighting and extracting faults and horizons that
are apparent as geometric features in a seismic image. Although seismic image processing …
are apparent as geometric features in a seismic image. Although seismic image processing …
3-D Structural geological models: Concepts, methods, and uncertainties
The Earth below ground is the subject of interest for many geophysical as well as geological
investigations. Even though most practitioners would agree that all available information …
investigations. Even though most practitioners would agree that all available information …
Deep relative geologic time: a deep learning method for simultaneously interpreting 3‐D seismic horizons and faults
Extracting horizons and detecting faults in a seismic image are basic steps for structural
interpretation and important for many seismic processing schemes. A common ground of the …
interpretation and important for many seismic processing schemes. A common ground of the …
[BOK][B] Handbook of poststack seismic attributes
AE Barnes - 2016 - library.seg.org
The Handbook of Poststack Seismic Attributes is a general reference for poststack seismic
attributes intended for reflection seismologists in petroleum exploration. The goal of the book …
attributes intended for reflection seismologists in petroleum exploration. The goal of the book …
Semiautomated seismic horizon interpretation using the encoder-decoder convolutional neural network
The seismic horizon is a critical input for the structure and stratigraphy modeling of
reservoirs. It is extremely hard to automatically obtain an accurate horizon interpretation for …
reservoirs. It is extremely hard to automatically obtain an accurate horizon interpretation for …
Multitask learning for local seismic image processing: fault detection, structure-oriented smoothing with edge-preserving, and seismic normal estimation by using a …
Fault detection in a seismic image is a key step of structural interpretation. Structure-oriented
smoothing with edge-preserving removes noise while enhancing seismic structures and …
smoothing with edge-preserving removes noise while enhancing seismic structures and …
Predictive painting of 3D seismic volumes
S Fomel - Geophysics, 2010 - library.seg.org
Predictive painting is a numerical algorithm that spreads information in 3D volumes
according to the local structure of seismic events. The algorithm consists of two steps. First …
according to the local structure of seismic events. The algorithm consists of two steps. First …
Deep learning for relative geologic time and seismic horizons
Constructing a relative geologic time (RGT) image from a seismic image is crucial for
seismic structural and stratigraphic interpretation. In conventional methods, automatic RGT …
seismic structural and stratigraphic interpretation. In conventional methods, automatic RGT …
Horizon volumes with interpreted constraints
X Wu, D Hale - Geophysics, 2015 - library.seg.org
Horizons are geologically significant surfaces that can be extracted from seismic images.
Color coding of horizons based on amplitude or other attributes can help reveal ancient …
Color coding of horizons based on amplitude or other attributes can help reveal ancient …