Dr. Tom Smith presenting on Machine Learning at the 3D Seismic Symposium on March 6th in Denver
What is the "holy grail" of Machine Learning in seismic interpretation? by Dr. Tom Smith, GSH Luncheon 2018
Using Attributes to Interpret the Environment of Deposition - A Video Course. Taught by Kurt Marfurt, Rocky Roden, and ChingWen Chen
Dr. Kurt Marfurt and Dr. Tom Smith featured in the July edition of AOGR on Machine Learning and Multi-Attribute Analysis
Rocky Roden and Ching Wen Chen in May edition of First Break - Interpretation of DHI Characteristics using Machine Learning

Sweetness

Attribute Description: The Sweetness attribute is an empirical formula, originally introduced in 1997 by Oliveros and Radovich, that is designed to highlight sweet spots that are frequently associated with sand shales as well as gas saturated sands. Note that the amplitudes are all positive.

  This displays the amplitude attribute at the top and the sweetness attribute on the bottom.

This displays the amplitude attribute at the top and the sweetness attribute on the bottom.

Interpretation Use:  This attribute may provide value by

  • Help identify sand shales and gas saturated sands
  • Used to reduce risk assigned to  DHI’s

Recommended Colorbar:

Since the distribution of this data is weighted more towards the bottom of the colorbar but can be modified to highlight areas considered prospective.

  Example colorbar and amplitude spectrum

Example colorbar and amplitude spectrum

Example:

 Vertical display of Hilbert Traces

Vertical display of Hilbert Traces

 Time slice of Hilbert Traces

Time slice of Hilbert Traces

 Frequency Spectrum

Frequency Spectrum

Computation: The formula is comprised of the trace envelope divided by the square root of instantaneous frequency:

Sweetness - 6.png

Instantaneous frequency is a derivative of instantaneous phase with respect to time and can be negative, positive, or zero due to spikes in the data. To eliminate the negative and zero values caused by data spikes, prior to calculating Sweetness, the negative and zero values are clipped and replace with values interpolated from neighboring times

References:

  • Taner, M. T., 2001, Seismic attributes:  Canadian Society of Exploration Geophysicists Recorder, 26, no 7.
  • Oliveros, R.B., and B. J. Radovich, 1997, Image-processing display techniques applied to seismic instantaneous attributes on the Gorgon gas field, North West Shelf, Australia; 67th Annual International Meeting, SEG, Expanded Abstracts, 2064-2067.