Software & Tools

** Shared via DropBox. Contact me for alternative ways

GAEIO

GAEIO aims at geoscience data analysis in python.

Machine learning-assisted seismic texture identification & interpretation (Stii) **

Stii contains both a labelled datasets (StData-12) and a deep neural network (StNet) for the convenience of implementing the state-of-the-art machine learning into the domain of seismic interpretation.

A Python package for seismic feature interpretation through segmentation neural networks provided by TensorFlow.

Seismic feature interpretation via segmentation neural networks **

A Python package for seismic feature interpretation through classification neural networks provided by TensorFlow.

Seismic feature interpretation via classification neural networks **

A Petrel plug-in for waveform curvature analysis of 3D seismic data to assist seismic interpretation, such as vertical resolution enhancement, dip estimation, and reflector decomposition.

Waveform curvature analysis of 3D seismic data **

Seeded fault picking from 3D seismic data **

A Petrel plug-in for seeded seismic fault picking.

Volumetric curvature & flexure analysis **

A Petrel plug-in for computing the seismic curvature and flexure attributes from a seismic volume. (Reference)

Volumetric dip estimation **

A Petrel plug-in for computing the fundamental reflector dip attribute from a seismic volume.