Abstract

The present work focuses on the determination of absolute permeability in a hydrocarbon reservoir whose pressure is under the bubble point. The simulation of the homogenic reservoir and well with the simultaneous flow of oil and gas is performed using the Eclipse100 software. The main purpose of the simulation is to obtain pressure build-up tests for two simulated reservoir systems, since the well testing technology requires the shut-in period, which increases the costs of the real well production cycle. In the first simulation it is presumed that the well is not damaged, having the skin effect equal to zero, while in the second one, the skin effect of the well in the same reservoir is 9, 44. The aim is to compare the results of the pressure build-up test analysis for both cases. In each case, permeability is firstly calculated using four methods, given by different authors. The theoretical background and the process of obtaining the required results are given for each approach. Results are compared with the permeability as determined by the pressure transient analysis, using the Saphir software, for both the ideal and the damaged well. Differences in results are presented and discussed. Conclusions could be applied to similar real reservoir systems with the multiphase fluid flow in the porous media.

Highlights

  • One of the key processes in petroleum engineering is collecting data of the physical properties of the hydrocarbon reservoir

  • Since the well productivity value is signi¿cant for the planning of the complete production cycle, permeability can affect economical aspects of any reservoir system, because the pressure build-up test requires ¿nancial investment and a shut-in period (Karasalihoviü-Sedlar et al, 2017; Strpiü et al, 2017)

  • Such an approach can serve as a guideline to determine permeability as accurately as possible when there is an abundance of data collected by well testing or some other technique

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Summary

Introduction

One of the key processes in petroleum engineering is collecting data of the physical properties of the hydrocarbon reservoir. In the pressure build-up test analysis of the simulated reservoir with the multiphase Àow of oil and gas, it is presumed that the skin factor is equal to 9.44 and the corresponding permeability is calculated. Such an approach can serve as a guideline to determine permeability as accurately as possible when there is an abundance of data collected by well testing or some other technique. The turbulent Àow in the near wellbore zone that is presented in Figure 1 as nonDarcy diffusion causes an extra pressure drop, can be expressed by skin factor depending on the rate (ds/dq).

Periods of the pressure build-up test
Perrine’s method
Raghavan’s method
Input data for the dynamic reservoir models
Reservoir simulation
Results obtained by the Saphir program
Results obtained by the analytical method
Results and discussion
Nonlinear model
Conclusions
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