Geology & Geophysics
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How to identify fluid migration with 1D models and temperature data

In my early days in basin modelling, I had a tendency to prefer complex 3D models, assuming the more equations and resolution in the model the better. I eventually learned to appreciate the power of simplicity and 1D models

One revealing experience oc­curred while I was working in a basin offshore Thailand. I only had temperature data from several wells. Once a 1D model was built for each of these wells in Genesis, I noticed that most of them could be calibrated with similar parameters for sedi­ment base heatflow, assum­ing crustal thickness and radioactive heat generation. However, this did not work for a couple of wells.

These two wells had two corrected borehole temper­atures – the shallower one too high and the deeper one too low. I tried to explore the area in 3D using Trin­ity and to see if there was a relationship with basement morphology. I couldn’t see any. Various interpretations came to mind, the first being issues with the data quality. Unfortunately, I had limited information on the origin of the data, so I could not investigate the quality.

I did have a fault data­set though – a rather unique experience in my modelling career up to that point. It turned out that both of the problematic wells were located on a fault not too far from each other. The most straightforward ex­planation was a hydrother­mal system along the fault where the deeper temper­atures were suppressed by cool surface waters moving from nearby, and the upper temperatures were elevated by rising warm water.

A few years later, I en­countered another example while working in a basin offshore South America. I had several wells calibrated with temperature and vit­rinite reflectance data with excellent consistency and detail. One of the wells, though, had a few anoma­lous elevated temperature measurements in the shal­low Cenozoic section. At the same time, the deeper temperature and vitrinite data could be perfectly fit­ted with a model following the same consistent param­eters as in the other wells.

I did not have vitrinite data in the shallow section to cross-check the tempera­ture signature, but the fact that a couple of data points consistently showed similar temperatures indicated the signal was likely real. The well was located on a shelf, and the best explanation was that the elevated temper­atures recorded migrating fluids along a stratigraphic sequence from a deep basin up the shelf. Elsewhere in the basin, a similar migra­tion route must have been active to fill a known major onshore oil field.

Basin modelling can provide valuable insights into detailed processes with unexpected resolution for such a large-scale model. It shows that every bit of data counts and that we need to invest in a detailed data analysis and understand individual well models in the context of the entire 3D model. Unfortunately, a typical client request for a “quick modelling study” of­ten risks overlooking half of the potential insights these models can offer.

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