98
Views
0
CrossRef citations to date
0
Altmetric
Articles

A novel technique combining the cyclic steam stimulation and top gas injection for increasing heat efficiency

ORCID Icon
Pages 113-120 | Received 04 Jun 2017, Accepted 10 Oct 2017, Published online: 26 Oct 2017
 

Abstract

In the first production period of cyclic steam stimulation (CSS), the oil production rate becomes high due to reducing oil viscosity and increasing reservoir. Even though the remaining heat is still available in the surroundings of the well, the production rate declines too sharply resulting from the reservoir pressure reduction. This paper aims to maintain the oil production rate, which utilizes the remaining heat in the reservoir with a gas top injection. After the oil production rate declines, the gas is injected into the top side of the formation which pushes crude oil to the lower part of the reservoir. Finally, the crude oil moves to the production perforation. The result indicates that the optimum volume gas injection is 6500 MMSCF. In such method, increasing reservoir thickness will be more favorable because the gas spreads more laterally and dissolves to the oil phase. In the case of extended cycle production time, the steam effectiveness will increase. To get the most favorable operation condition, the reservoir thickness must be more than 20 ft. In the optimum case, the cumulative oil production increases 3.5 times and the cumulative steam oil ratio decreases 60% compared to CSS-conventional.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 61.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 102.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.