Productivity index (PI) is an important indicator of a well?s production capacity.
For conventional reservoirs, well productivity is usually calculated using the pressure
response of the reservoir in its pseudosteady-state period. There are numerous studies for different well completion schemes which developed correlations for pseudosteady-state productivity index for specific cases, such as horizontal wells and fractured wells. Most of the developed models for complex well completion schemes use some approximations for productivity index calculation and they have some limitations in use. Furthermore, as the petroleum industry goes toward producing lower quality reservoirs like low- and ultra low-permeability reservoirs, the period of transient flow covers a larger part of the well
lifetime and these pseudosteady-state productivity calculations become less applicable in prediction of the reservoir?s production behavior. The Distributed Volumetric Sources (DVS) method seems able to fill this gap. Our method is able to predict the productivity index of a general well completion scheme for transient as well as pseudosteady-state flow periods.
In this study, we focus on a typical well completion scheme ? vertical well
intersected by a vertical fracture of finite conductivity. Parametric study is performed by
varying the proppant pack permeability with a linear distribution, varying fracture width with an elliptical distribution and varying fracture height with an elliptical distribution.
The details of hydraulic fracture are integrated into the calculation of well productivity.
By combining the well productivity with gas material balance, production forecasting of
the hydraulically fractured wells could be easily obtained. The result of production
forecasting could be used to aid in decision making of choosing the best stimulation
treatment. Field examples are presented to illustrate the application of this technology for
production modeling the complicated reservoir cases involving fracture stimulation.
| Identifer | oai:union.ndltd.org:tamu.edu/oai:repository.tamu.edu:1969.1/ETD-TAMU-2008-12-143 |
| Date | 15 January 2010 |
| Creators | Jin, Xiaoze |
| Contributors | Valkó, Peter |
| Source Sets | Texas A and M University |
| Language | en_US |
| Detected Language | English |
| Type | Book, Thesis, Electronic Thesis |
| Format | application/pdf |
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