1887

Abstract

Summary

Full field characterization is the cornerstone of asset management in development of green fields which can result in operational and financial success of the project plan. The more accurate characterization of the field can reduce the investment uncertainties and lead to a successful risk management. This can be achieved by means of an integrated and multi-disciplinary teamwork through implementation of organizational practices and workflows. To develop an integrated reservoir model geological, geophysical, petrophysical, and engineering data must collaborate in one environment such that the most realistic geologic model can be obtained. So the proper economic asset valuation can be based on this characterization method which can be employed in field development planning.

Gas condensate fields are different from other fields mainly in phase behavior of reservoir hydrocarbon fluid. The retrograde phenomenon in these reservoirs makes pressure control of wells an important key factor in designing of production scenario. Herein it has been considered to show the step by step procedure for characterizing a giant gas condensate field in order to find the optimum plan for management of the reservoir. To develop a reliable model PVT data, core data, micro-resistivity logging, and geology stratigraphy have been studied in an integrated discipline.

Loading

Article metrics loading...

/content/papers/10.3997/2214-4609.201700972
2017-06-12
2024-04-24
Loading full text...

Full text loading...

References

  1. Debourse, P.
    1999. BORE HOLE ELECTRICAL IMAGING TOOL Lithofacies Identification And Analysis.
    [Google Scholar]
  2. Dowlati, S.
    2016. Reservoir Characterization of Giant Gas Condensate Bearing Kangan and Dalan Formations. 78th EAGE Conference and Exhibition 2016 Vienna: EAGE.
    [Google Scholar]
  3. Hozayen, M., Radwan, E. S., Zhang, X., Ni, Q., Nawrocki, P., Wang, D. & Jebbouri, A.
    2015. Geomechanical Study of Fractured Carbonate Reservoir - Part II, 3D Wellbore Stability Analysis and FMI Image Logs Calibration. International Society for Rock Mechanics.
    [Google Scholar]
  4. Smyth, J., Rusin, P., Garcia, J. J. & Cullick, S.
    2010. Rapid Optimization of Development Scenarios for Multiple Exploration Prospects Using Integrated Asset Modeling. Society of Petroleum Engineers.
    [Google Scholar]
  5. Thomas, F., Andersen, G. & Bennion, D.
    Gas Condensate Reservoir Performance: Part II-Fluid Characterization. Canadian International Petroleum Conference, 2006. Petroleum Society of Canada.
    [Google Scholar]
http://instance.metastore.ingenta.com/content/papers/10.3997/2214-4609.201700972
Loading
/content/papers/10.3997/2214-4609.201700972
Loading

Data & Media loading...

This is a required field
Please enter a valid email address
Approval was a Success
Invalid data
An Error Occurred
Approval was partially successful, following selected items could not be processed due to error