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Supporting technology for enhanced oil recovery: CO/sub 2/ miscible flood predictive model

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The CO/sub 2/ Miscible Flood Predictive Model (CO2PM) was developed by Scientific Software-Intercomp for the US Department of Energy and was used in the National Petroleum Council's (NPC) 1984 survey of US enhanced oil recovery potential (NPC, 1984). The CO2PM is applicable to both secondary (mobile oil) and tertiary (residual oil) floods, and to either continuous CO/sub 2/ injection or water-alternating-gas (WAG) processes. In the CO2PM, an oil rate versus time function for a single pattern is computed, the results of which are passed to the economic calculations. To estimate multi-pattern project behavior a pattern development schedule is required. After-tax cash flow is computed by combining revenues with costs for drilling, conversion and well workovers, CO/sub 2/ compression and recycle, fixed and variable operating costs, water treating and disposal costs, depreciation, royalties, severance, state, federal and windfall profit taxes, cost and price inflation rates, and the discount rate. A lumped parameter uncertainty model is used to estimate risk, allowing for variation in computed project performance within an 80% confidence interval. The CO2PM is a three-dimensional (layered, five-spot), two-phase (aqueous and oleic), three component (oil, water, and CO/sub 2/) model. It computes oil and CO/sub 2/ breakthrough and recovery from fractional theory modified for the effects of viscous fingering, areal sweep, vertical heterogeneity and gravity segregation. 23 refs., 19 figs., 57 tabs.

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Last Updated September 29, 2016, 16:25 (LMT)
Created September 29, 2016, 16:25 (LMT)
Citation Ray, R.M. Munoz, J.D. ---- Roy Long, Supporting technology for enhanced oil recovery: CO/sub 2/ miscible flood predictive model, 2016-09-29, https://edx.netl.doe.gov/dataset/supporting-technology-for-enhanced-oil-recovery-co-sub-2-miscible-flood-predictive-model
Netl Product yes
Poc Email Roy.long@netl.doe.gov
Point Of Contact Roy Long
Program Or Project KMD
Publication Date 1986-12-1