In today’s technologically-driven world, data is the new goldmine, unlocking the power to address complex challenges simultaneously.
By harnessing the 51,000+ global field dataset, bMark™ users can tap into this vast data hub to uncover deep correlations, identify emerging trends, and extract actionable insights at scale.
Our #Trendoftheweek compares the performance of two Carboniferous fields in the Southern North Sea – Breagh and Kilmar .
bMark™ leverages machine learning for predictive benchmarking, allowing users to optimize asset performance and unlock maximum value from their resources. A critical output metric is the value gap, which quantifies the untapped potential within a field, offering insights into the extent of achievable optimization and performance enhancement.
The Breagh field, discovered in 1997, has an in-place gas of over 900 billion standard cubic feet (bscf). It has been producing since 2013 and plays a vital role in enhancing the UK’s energy security by reducing reliance on gas imports.
The Kilmar field, discovered in 1992, has an in-place gas of 293 billion standard cubic feet (bscf) and has been on stream since 2006.
This analysis suggests that whilst the bMark™ benchmark prediction for both fields are similar, the Breagh field is almost achieving its predicted performance, while the Kilmar field is significantly underperforming.
Using the power of analogues (such as Breagh), data and machine learning, bMark™ can provide insight into field performance.
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Greenfield oil development offshore Mexico; 1500MMstb in place
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