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The AAPG/Datapages Combined Publications Database

Indonesian Petroleum Association

Abstract


25th Annual Convention Proceedings (Volume 2), 1996
Pages 51-62

A New Practical Correlation to Predict Specific Productivity Index for Sihapas Formations in the Minas Field

Rinaldi, Faisal Asmadi

Abstract

Knowing the production contribution Previous HitfromNext Hit individual zones in a multi-layer environment is very critical in optimizing initial completions and subsequent workovers. The old trial and error method to determine the maximum well productivity is very inefficient due to unnecessary repetitions in workovers resulting in higher operating costs.

The possible maximum production rate of each layer can be estimated by calculating its productivity index and applying the maximum allowable pressure drawdown. Data to calculate the productivity index for each layer is not always available. Production logging (PLT) or individual zone production testing (IZT), the source of data, is not run in every well. These common problems could be addressed by instituting a production zone allocation system.

This paper reports a practical approach to estimate absolute horizontal Previous HitpermeabilityNext Hit and the specific productivity index (SPI) by correlating to density porosity (Φd)and Volume Shale Gamma Ray Index (VshGR) for Minas Sihapas formations. The Φd and VshGR are calculated Previous HitfromNext Hit open hole log data, which is usually available. The correlation is principally generated by using the Previous HitpermeabilityNext Hit - density porosity transform, relative Previous HitpermeabilityNext Hit curve and Darcy's law for radial flow in porous media. The calculated SPI is a fair match with actual field data obtained Previous HitfromNext Hit PLT and IZT. In some conditions the calculated SPI is under estimated compared to actual data. This slight disagreement will also be reviewed in this paper. The method to generate this practical correlation can also be applied to data Previous HitfromNext Hit other fields.


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