Global Oil & Gas E&P Company – Back Out Model
Our Client own a field situated in UK sector of the Central North Sea which is tied back to another Company’s platform by way of a subsea pipeline bundle and a caisson riser.
Under the Client’s Field Transportation, Processing and Operating Services Agreement (“TPOSA”), the other Company were responsible for providing certain services to our Client’s field, including lift gas to the Field’s wells to support production. By providing the gas lift service to the Field there were reduced quantities of lift gas available to support production from the other Company’s wells. The result of this was that a portion of the other Company’s oil production may have been deferred.
We were called in to perform an independent, third party audit which resulted in the recommendation of a number of changes. Both the Field owners reviewed the proposed changes and requested us to implement all high and medium priority recommendations made and to use the revised model to perform the backout calculations.
To achieve this we carried out the following activities,
- Data review and understand, including,
- Well models and well tuning.
- Validation of lift curves.
- Review the GAP model.
- History match review, including,
- Review how the model was calibrated against gas lift performance of the Field’s wells
- Review and report the discrepancy volume between (a) modelled forecast production, and (b) actual observed production on a monthly basis.
- Assess the impact of uncertainty in the key variables on the backout, based on a range of inputs.
- Forecast review, including
- Review the inputs and perform uncertainty analysis on what could impact the forecast.
- Prepare detailed technical documentation and present results to client (and partners)
One of the benefits of using Axis for this type of work is our widely recognised expertise in this area; expertise that includes both expert technical knowledge of Prosper-GAP-MBAL software and the successful delivery of similarly complex brownfield asset scopes – often characterised by data quantity/quality issues. We understand the constraints, and have developed strategies that allow us to identify and mitigate risks to efficiently ensure project objectives are achieved.
For more information please contact our experts.