SPS to Seismic Data Mapping: An AWK Script for Merging Field Geometry with Seismic Data

Fractal Interrelationships in Field and Seismic Data

Size scaling interrelationships are evaluated in this study using a fractal model. Fractal models of several geologic variables are examined and include fracture patterns, reflection travel times, structural relief, drainage, topographic relief and active fault patterns. The fractal properties of structural relief inferred from seismic data and structural cross sections provide a quantitative m...

Fractal Interrelationship in Field and Seismic Data

seismic-py: Reading seismic data with Python pdfauthor

The field of seismic exploration of the Earth has changed dramatically over the last half a century. The Society of Exploration Geophysicists (SEG) has worked to create standards to store the vast amounts of seismic data in a way that will be portable across computer architectures. However, it has been impossible to predict the needs of the immense range of seismic data acquisition systems. As ...

Characterising Seismic Data

When a seismologist analyses a new seismogram it is often useful to have access to a set of similar seismograms. For example if she tries to determine the event, if any, that caused the particular readings on her seismogram. So, the question is: when are two seismograms similar? To define such a notion of similarity, we first preprocess the seismogram by a wavelet decomposition, followed by a d...

Cosparse seismic data interpolation

Many modern seismic data interpolation and redatuming algorithms rely on the promotion of transform-domain sparsity for high-quality results. Amongst the large diversity of methods and different ways of realizing sparse reconstruction lies a central question that often goes unaddressed: is it better for the transform-domain sparsity to be achieved through explicit construction of sparse represe...