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New Seismic Fitness Attribute: Unbiased AI/ML Derived Paleo Geomorphology/Facies

Southeast Caribbean Research Symposium Presentation
AAPG Distinguished Lecture

Author(s): Anthony Aming (presenter), Seisnetics; Ibraheem Ali; PetroCom Technologies

This paper presents how Artificial Intelligence (AI) / Machine Learning (ML) technology uses unsupervised genetics algorithms to drive the new seismic attribute “Fitness” and how it is used to interpret paleo geomorphology/facies.

3D Seismic and the Human Genome

Each waveform within a seismic volume is characterised by a unique suite of attributes (i.e. location, amplitude, neighbour trace shape, etc.). Similarly, DNA is comprised of a unique arrangement of base pairs. During the Human Genome Project, significant advances were made in the field of sequence analysis. Here we show how these advances can be leveraged to enhance the interpretation of 3D seismic data.

Genetic Processing Algorithms

Using Seisnetics® patented genetic processing algorithm to automatically segment seismic trace data into populations of related waveforms, artificial intelligence populations (known as ‘GeoPopulations’) are ‘grown’ by the software from random and disordered seed points, eliminating any bias that might be introduced by user defined seed points.

The resultant GeoPopulations (which represent a group of genetically and spatially related waveforms), appear similar to a ‘user-propagated surface’, but critically are based on waveform characteristics rather than amplitude-based propagation used in the majority of E&P software packages, and are imbedded with seismic attributes.


Anthony Aming, Seisnetics

Anthony earned a BS with honors in Geophysics from the University of Manitoba.

With 40 years of experience in the industry, he has worked with Amoco Production Company in exploration and exploitation for Oil & Gas in projects in Canada, USA, United Arab Emirates and Oman; has also worked for the Trinidad and Tobago Oil Company (TRINTOC), Amoco Trinidad Oil Company and Western Geophysical. Using his Enterprise Architecture (Business Domain) at Baker Hughes, a GE Company, he has led several successful global projects and initiatives in digital transformation, remote operations, information technology, finance, technology and operations.

He currently is a seasoned full stream digital transformation expert sharing his knowledge and expertise throughout the Oil & Gas industry globally; Director Americas Business Development, Marketing & Support at Seisnetics, working with NOC’s, IOC’s, MOC’s and OFS’s to digitally transform processes to reduce risk and uncertainty resulting in improved capital efficiency and profitability.

Anthony is a member of SEG and a past member of AAPG, SPE, EAEG and PIDX.

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