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High Resolution Prediction of Gas Injection Process Performance for Heterogeneous Reservoirs

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This report outlines progress in the fourth quarter of the first year of the DOE project High Resolution Prediction of Gas Injection Process Performance for Heterogeneous Reservoirs?. A new approach for qualitative evaluation of the impact of numerical ispersion in compositional finite difference simulation is described. The approach, based on solutions to one-dimensional (1D) flow equations obtained by the method of characteristics (MOC), results from current research on automatic generation of analytical solutions for 1D-gas injection problems. The assessment of the effects of numerical dispersion is demonstrated in a 2D case study of a miscible flooding using multicomponent fluid descriptions. The case study demonstrates the utility of combining streamtube methods with the analytical theory of 1D-gas injection processes.

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Last Updated September 29, 2016, 15:28 (LMT)
Created September 29, 2016, 15:28 (LMT)
Citation Franklin M. Orr, Jr ---- Roy Long, High Resolution Prediction of Gas Injection Process Performance for Heterogeneous Reservoirs, 2016-09-29, https://edx.netl.doe.gov/dataset/high-resolution-prediction-of-gas-injection-process-performance-for-heterogeneous-reservoirs01
Netl Product yes
Poc Email Roy.long@netl.doe.gov
Point Of Contact Roy Long
Program Or Project KMD
Publication Date 2001-9-30