A screening model for CO 2 flooding and storage in Gulf Coast reservoirs based on dimensionless groups

D. J. Wood, L. W. Lake, R. T. Johns, V. Nunez

Research output: Contribution to conferencePaperpeer-review

11 Scopus citations

Abstract

Concerns over global warming have led to interest in removing greenhouse gases, specifically CO 2, from the atmosphere. Sequestration of CO 2 in oil reservoirs as part of EOR projects is one method being considered. The scaling groups necessary to describe CO 2 flooding for a typical line-drive pattern are presented. These groups are used in a Box-Behnken experimental design to create a screening model most applicable to candidate Gulf Coast reservoirs. By generating oil recovery and CO 2 storage curves, the model estimates the cumulative oil recovery and CO 2 storage potential for a given reservoir. The dimensionless groups serve as the basis for a heuristic model capable of estimating oil recovery and CO 2 storage potential for any given reservoir. The model uses response surface fits to estimate five parameters, i.e., four for oil recovery and one for CO 2 storage. Each fit contains only six to eight terms, making the model simple to implement and easy to use in processing large databases of reservoir for attractive candidates. This is an abstract of a paper presented at the 15th SPE-DOE Improved Oil Recovery Symposium: Old Reservoirs New Tricks A Global Perspective (Tulsa, OK 4/22-26/2006).

Original languageEnglish (US)
Pages941-948
Number of pages8
StatePublished - Jul 12 2006
Event15th SPE-DOE Improved Oil Recovery Symposium: Old Reservoirs New Tricks A Global Perspective - Tulsa, OK, United States
Duration: Apr 22 2006Apr 26 2006

Other

Other15th SPE-DOE Improved Oil Recovery Symposium: Old Reservoirs New Tricks A Global Perspective
CountryUnited States
CityTulsa, OK
Period4/22/064/26/06

All Science Journal Classification (ASJC) codes

  • Chemical Engineering(all)
  • Energy Engineering and Power Technology

Fingerprint Dive into the research topics of 'A screening model for CO <sub>2</sub> flooding and storage in Gulf Coast reservoirs based on dimensionless groups'. Together they form a unique fingerprint.

Cite this