Overview, Client Challenge

The client was operator of a large tight oil field in Western Siberia which had been in production for over 15 years. Recovery from the field had been modest to date compared to the in-place volumes and the client planned a significant drilling program to boost reserves. To support this endeavor the client built a dynamic model of the field but was unable to achieve a history match. The client requested that Belltree review the field to understand why the modelling workflow was failing and to provide an independent viewpoint of field potential.

Solution by Belltree

Belltree reviewed the client’s current model and approach and quickly concluded that application of its LTRO workflow would be appropriate to uncover the reasons behind the failure to achieve a history match. The LTRO process was completed in six months and with the significant insights gained Belltree was able to take over development of the dynamic model from the client’s team and achieve a history match within 2 months.


By taking a step back and considering the totality of information available for the field in a systematic manner the Belltree team were able to identify a major thief zone in the field that was not present in the client’s field model. The LTRO process also identified significant upside potential via a reorientation of the existing waterflood and via infill drilling targets. The project targets identified via LTRO were subsequently supported by the dynamic model developed by Belltree. This work was used to directly support the decision to conduct a horizontal well campaign which added significant reserves to the field.

Technical assurance given at Final Investment Decision

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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