PREDICTION OF GAS INJECTION PERFORMANCE FOR HETEROGENEOUS RESERVOIRS Metadata

Metadata describes a digital item, providing (if known) such information as creator, publisher, contents, size, relationship to other resources, and more. Metadata may also contain "preservation" components that help us to maintain the integrity of digital files over time.

Title

  • Main Title PREDICTION OF GAS INJECTION PERFORMANCE FOR HETEROGENEOUS RESERVOIRS

Creator

  • Author: Blunt, Martin J.
    Creator Type: Personal
  • Author: Franklin M. Orr Jr.
    Creator Type: Personal

Contributor

  • Sponsor: United States. Department of Energy.
    Contributor Type: Organization

Publisher

  • Name: Stanford University
    Place of Publication: United States

Date

  • Creation: 2000-06-01

Language

  • English

Description

  • Content Description: This final report describes research carried out in the Department of Petroleum Engineering at Stanford University from September 1996--May 2000 under a three-year grant from the Department of Energy on the ''Prediction of Gas Injection Performance for Heterogeneous Reservoirs''. The advances from the research include: new tools for streamline-based simulation including the effects of gravity, changing well conditions, and compositional displacements; analytical solutions to 1D compositional displacements which can speed-up gas injection simulation still further; and modeling and experiments that delineate the physics that is unique to three-phase flow.

Subject

  • STI Subject Categories: 02 Petroleum
  • Keyword: Forecasting
  • Keyword: Simulation
  • Keyword: Petroleum
  • Keyword: Physics
  • Keyword: Analytical Solution
  • Keyword: Gas Injection
  • Keyword: Performance

Collection

  • Name: Office of Scientific & Technical Information Technical Reports
    Code: OSTI

Institution

  • Name: UNT Libraries Government Documents Department
    Code: UNTGD

Resource Type

  • Report

Format

  • Text

Identifier

  • Grant Number: FG22-96BC14851
  • DOI: 10.2172/859155
  • Office of Scientific & Technical Information Report Number: 859155
  • Archival Resource Key: ark:/67531/metadc785106
Back to Top of Screen