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In this edition’s lead we report on the orgs’ (EAGE, SPE and SEG) efforts to use large language models to expose their various document repositories and enable something more than just ‘search’. Something ‘intelligent’. It is after all,‘AI’. I thought I would give the most advanced of these initiatives ( EarthDoc.AI from the EAGE) a whirl.
In an earlier life I was involved in Paris basin exploration (yes, in the 1980s that was a thing) and the company I was working for, Triton France, was ‘re-exploring’ a small oil discovery that had been abandoned by its previous owner. So I asked EarthDoc.AI not exactly a trick question, but one which I knew quite a lot about. It is in general interesting to ask questions to which you know the answer just to see if the person (or now the machine) is a BS artist*. I asked:
What is the trapping mechanism of the Paris Basin Dogger oilfields?
To which EarthDoc.AI replied:
The Dogger oil fields in the Paris Basin exhibit various trapping mechanisms. A significant proportion of these traps, approximately 30% of total reserves, have stratigraphic components. The Paris Basin contains two primary oil reservoirs: the Dogger oolitic limestone and the Keuper sandstone. The main source rock for oil in the basin is the Toarcian shales. These organic intervals are situated between the Dogger carbonates and Triassic clastics, forming an efficient petroleum system.
Trapping mechanisms for hydrocarbons can include structural and stratigraphic styles. Structural traps can involve anticlines, where hydrocarbons accumulate at the crest of a dome, sealed by an impermeable layer. Stratigraphic traps often rely on lateral changes in rock properties, such as updip pinchouts or permeability barriers.
Specific examples of trapping in the Paris Basin Dogger include the Villeperdue field, which is characterized by an unexpected stratigraphic trap containing 53 million barrels of oil. Initial interpretations involved a transverse-faulted four-way closure, but further appraisal revealed a westward plunging nose and an updip permeability barrier, with trapping enhanced by artesian hydrodynamic flow.
EarthDoc continued with lots more interesting stuff along with the eight papers that it identified as key to its reasoning. I must say I was impressed by EarthDoc.AI’s explanation of Dogger trapping mechanisms and particularly pleased that it used Villeperdue as an example. When I worked for Triton I was not really the person that ‘found’ Villeperdue (it had already been found!). I did though have the honor of naming this quite substantial oilfield. I was the geophysicist that produced the map that encouraged Triton (on what was then a farm-in for Total) to drill the VPU1 discovery.
But what EarthDoc does not know is that the ‘initial interpretation’ story of the literature is complete baloney! In reality, the seismics showed a monocline (see the map below showing my very own work!). Unfortunately, management, for some reason, was not happy with a monocline and wanted ‘three way closure’ which was duly provided by the geologist who went on to present the story at the AAPG from where in entered the literature. I always thought it curious that the idea of a stratigraphic trap seemed foreign to our management since they hailed from the home of the East Texas field, a stratigraphic trap which was a bit more substantial that Villeperdue!
Is there a moral to this conversation with AI? Maybe there is. A
more authoritative AI might have noticed that a ‘transverse-faulted
four-way closure’ in the Dogger of the Paris basin is rather
improbable. This particular Gen AI exchange is good, but remains a
supercharged literature search. It is not adding real geological
‘intelligence’.
* On which topic see my 2023 interrogation of ‘ChatGPT: a world-class bullshit artist’.

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