Barents Sea Charge – High probabilities for oil in Hoop area 23rd round blocks

Migris-News_Hoop_top

The probabilities for finding oil exceed 50 % in some of the 23rd round blocks, while other areas have very low probabilities for finding oil. These are some of the results from our updated probabilistic migration model for the Hoop area.

fig1

Figure 1 Cumulative distribution (%) of oil column (m) at location 1. The bars show the probability that the oil column is less or equal to the value along the x-axis.

The Barents Sea Charge Study from 2014 provides the framework for a detailed model of the Hoop and Fingerdjupet area. The updated model provides accurate calibration to all drilled wells in the area. From this stochastic calibrated model, maps of migration probability (Flowrisk) and risk of not having oil phase (Phaserisk) were computed.

Oil in prospects
Our iterative Monte Carlo technique enabled us to calibrate the model effectively and the best simulation runs now show average differences between modelled and measured oil columns around 10m. In the final Monte Carlo iteration, we use the best 500 of 6900 runs to create oil and hydrocarbon column heights distributions for 40 prospect locations within the 23rd round blocks. Figure 1 shows the oil column distribution for a location with almost 70 % probability of finding oil. There is a 20 % probability of finding more than 40m of oil at this location, and there is a 12 % probability that a well drilled at this location will not encounter the oil-water contact.

fig2

Figure 2 Cumulative distribution (%) of oil column (m) at location 2.

High-risk prospects
Figure 2 shows results from a location in another trap where there is a 90% probability of not finding oil at all, making this a high-risk prospect. Figure 3 shows a cross-plot of the modelled oil columns of the two locations. This suggests that if a well is drilled at location 1 and results in a 25m oil column, there are simulations that show oil also in location 2. The drilling results from location 1 may therefore later be used to mature the prospect in location 2.

Ranked in order of probability
Based on the results from the detailed column height analysis, the available blocks can be ranked in order of probability of having oil accumulations at present day. For interested oil companies it may also be possible to integrate their own interpretations and compute the resulting charge risks for their own data sets.

fig3

Figure 3 Cross-plot of oil columns (m) at location 2 (y-axis) versus location 1 (x-axis). The plot shows results from the best 500 simulation runs.

Additional information about this work can be found at: http://www.migris.no/barents-sea-charge-oil-hoop-area/.

For further information, or to arrange a meeting contact:

Øyvind Sylta, CEO Migris (sylta@migris.no +47 926 40 396) or Matthias Daszinnies, Senior Geologist Migris (+47 920 83 428)

 

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