HIGH RESOLUTION PREDICTION OF GAS INJECTION PROCESS PERFORMANCE FOR HETEROGENEOUS RESERVOIRS | Zendy

Jr. Franklin M. Orr | Zendy

AI Assistant Blog Pricing

Home ZAIA Blog

Open Access

HIGH RESOLUTION PREDICTION OF GAS INJECTION PROCESS PERFORMANCE FOR HETEROGENEOUS RESERVOIRS

Author(s) -

Jr. Franklin M. Orr

Publication year - 2002

Publication title -

osti oai (u.s. department of energy office of scientific and technical information)

Language(s) - English

Resource type - Reports

DOI - 10.2172/823231

Subject(s) - flow (mathematics) , process (computing) , stability (learning theory) , phase (matter) , total variation diminishing , high resolution , computer science , component (thermodynamics) , finite difference , mechanics , mathematical optimization , simulation , petroleum engineering , mathematics , engineering , geology , thermodynamics , physics , mathematical analysis , machine learning , remote sensing , quantum mechanics , operating system

This report outlines progress in the third quarter of the second year of the DOE project ''High Resolution Prediction of Gas Injection Process Performance for Heterogeneous Reservoirs''. High order finite difference schemes for one-dimensional, two-phase, multicomponent displacements are investigated. Numerical tests are run using a three component fluid description for a case when the interaction between phase behavior and flow is strong. Some currently used total variation diminishing (TVD) methods produce unstable results. A third order essentially non-oscillatory (ENO) method captures the effects of phase behavior for this test case. Possible modifications to ensure stability are discussed along with plans to incorporate higher order schemes into the 3DSL streamline simulator

The content you want is available to Zendy users.

Already have an account? Click here to sign in.

Having issues? You can contact us here

Accelerating Research