AI for seismic interpretation

A TotalFinaElf researcher showed prototype software at the EAGE that could change the way we look at seismic data. Sismage applies image processing and artificial intelligence to the 3D dataset - to extraordinary effect!

Naamen Keskes - the inventor of Stratimagic has struck again with an increasingly functional tool for stratigraphic interpretation of seismic data. TotalFinaElf’s (TFE) Sismage was originally the core of CGG-Petrosystems-Paradigm’s Stratimagic, but since Stratimagic’s productization, TFE’s researchers have been working away on enhancing the original research tool.


Keskes, a born showman, started his demonstration at the EAGE by picking a couple of seeds in the deep offshore seismic data volume and hey presto!, Sisimage auto-extracts a whole meander system. Keskes believes that “No one wants maps or blocks - they need [geological] objects.”

Neural net

The neural network technology originally developed for Stratimagic has been extended so that with a small initial learning phase - almost any geological feature can now be auto-extracted from the data. Autopicking faults for instance gives a rosace diagram of strain. A chaotic, high amplitude facies is instantly translated into a myriad of geobodies - and their cumulative volume pops up in a spreadsheet.


If your game is direct hydrocarbon indication - a special stacking tool tests multiple stacks to emphasis sub-horizontal events associated with potential oil-water contacts - a previously invisible flat spot leaps forth out of the data! Near trace gathers are exploited in conjunction with a database of outcrop analogues and the neural net identifies facies patterns against pre-computed near and far trace behavior.

Vail et al.

Seismic stratigraphy of the Vail school your bag? The seismic is instantly filled with downlaps, toplaps and triple points. A time-stratigraphic chart is extracted from the seismic data and re-injected into the seismic framework.

Tour de force

For Keskes, success comes from combining images, texture and sequence boundaries. A final tour de force was the extraction of color-coded wormy fluvial bodies from the Angolan Dhalia field. Even though some of the demos appear a bit contrived, for instance, the ‘worms’ all seem to have the same lateral geometry, one feels that one is looking at the future of seismic interpretation here; that the amount of information to be obtained from the 3D seismic dataset is without limits.

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