Well Testing in Iranian Gas Reservoir: A Case Study


Mohammad Afkhami Karaei, Hooman Fallah, Ali Ahmadi, Khaled Sayahi

Abstract


This paper investigates two gas wells production data, has considered non-Darcy effect in reservoir and the results of this event on well and reservoir parameters. Then data analysis by software has been used to suggest models of flow and production for each well in order to characterize permeability, skin factor, reservoir boundary ( in case of existence) and non-Darcy effect on skin. Core analysis, seismic, well logging and well testing are four common ways of measuring the properties of the reservoir rock. Due to the smallness of the core samples compared with the dimensions of the reservoir, reservoir heterogeneity and also the errors in core experimental analysisthe information obtained from the core cannot be representative of the properties of the reservoir rock. On the other hand, the results of seismic and well logging are general and don’t conclude exact results. So, well testing can be considered as the most exact, quickest and the cheapest way of measuring the properties of the reservoir rock. Since the pressure data used in well testing, offer a general view of the reservoir and can be a desirable totality of the whole reservoir properties including permeability, wellbore storage, skin factor and non-darcy factor in the gas reservoir. Accomplishment of the tests and analysis of the data obtained from the gas reservoir (dry gas or retrograde gas) faces special problems due to the high velocity and consequently the making of flow turbulence and non-darcy effect.

| PDF |


About this article

Title

Well Testing in Iranian Gas Reservoir: A Case Study

Date

2014-10-25

Additional Links

Manuscript Submission

Journal

Machines Review
Vol 1, No 2 (2014) Page: 39-47

Online ISSN

2408-9141

Statistics

163 Views | 110 Downloads

Citations

0

Authors & Affiliations

Mohammad Afkhami Karaei

Hooman Fallah

Ali Ahmadi

Khaled Sayahi


Article Tools


Email this article (Login required)
Email the author (Login required)
Share

Refbacks

  • There are currently no refbacks.


ISSN: 2408-9141