This paper is discussing the main challenges that are still encountered after constructing simulation models incase of not introduced to a practical QA/QC procedure to ensure accurate results for reservoir management decisions.
The study includes the main criteria's which were used to define the optimum development plan for gas production improvement towards achieving maximum recovery.
The field was partially developed in 1989 with 10 gas producers to supply 500 MMscf/day of gas for auto injection into oil rim reservoir. The field is under further development scheme to produce 1.0 Bscf/day to meet the increasing demand of gas for auto injection into other oil reservoirs and for export.
The main difficulties encountered to develop this field are linked to obtain representative model, in addition to other related development aspects of drilling costly gas wells and utilization of the produced gas for auto-gas injection or export.
Several methods (Deterministic and Stochastic) have been introduced to distribute hydrocarbon in the geological model, which was compared later with simulation model estimated initial gas and condensate in-places to ensure achieving more reliable volumes. The current and the future development plans' performances were assessed using detailed compositional simulation model that was constructed based recent rock and fluid characterization studies.
The newly established QA/QC procedure for model's results accuracy has been successfully applied, and the lessons learnt were shared with other simulation teams.
The study main outlines are as follows:
Achieve reliable history match with field data that showed discrepancies.
Apply new QA/QC for accurate modeling results and assurance to resolve the common outstanding issues.
Develop representative hydraulic lift curves.
Develop representative equation-of-state (EOS) for fluid characterization.
Optimize the current and alternative development plans.
The results and conclusions of the study are as follows:
Anomalies screened and defined accurate estimation method for the initial gas and condensate asset volumes.
Correction factor applied to phi-log derived data in order to honor the core derived data.
Developed representative equation-of-state (EOS) and the hydraulic lift curves (HLC).
Constructed reliable full field compositional simulation model matching the field measured data.
New QA/QC procedure has been established to resolve the common outstanding issues.
Evaluation of the current and other alternative development options.
Evaluated the key parameters required to define the required timing of compression facilities.