Revealing Insights: Leveraging Geological Correlations for Predictive Assessments

With tomorrow marking the date of Halloween, a holiday celebrated each year with ancient Celtic origins, our #TrendOfTheWeek this week investigates the development of the spookiest geology of all – the Graves member found in the USA.

Typically, we find that geological members will display many useful correlations (area vs STOIIP, porosity vs permeability, closure height vs net pay etc.) that help us to predict important assessment parameters when we have very little data.

One of these correlations is shown here – the correlation between area and the number of wells. This metric can assist in very early-stage economic assessments by providing a likely number of wells required for development based on nothing more than the area of a prospect in this member.

These types of simple correlations can be investigated in a variety of granularity from member, formation, depositional environment, basin to basin type to provide valuable early-stage insights. 

For more analysis and data insights follow #Belltree and look out for our next #TrendOfTheWeek … or better yet, contact us today to explore how the #data and #insights in #bMark can empower your workstreams.

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Greenfield oil development offshore Mexico; 1500MMstb in place

  • bMark™ helped identify twelve (12) key producing analogues, in the Gulf of Mexico.
  • Data analytics & benchmarking performed on the reservoir data. Production profiles, recovery factor forecasts & development plan supporting the FID case
  • Insights supported the FID mid-case plan & forecasts, whilst also provided guidance on areas for further modelling & sensitivity analysis.

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