A New Chemical EOR Surfactant Polymer Flood Model
- C. K. Huang (ConocoPhillips Co) | G. S. Shiralkar (ConocoPhillips Co) | G. Li (ConocoPhillips Co) | S. Abbas (ConocoPhillips Co)
- Document ID
- Society of Petroleum Engineers
- SPE Improved Oil Recovery Conference, 14-18 April, Tulsa, Oklahoma, USA
- Publication Date
- Document Type
- Conference Paper
- 2018. Society of Petroleum Engineers
- 5.2 Fluid Characterization, 5.2.1 Phase Behavior and PVT Measurements, 2.5.2 Fracturing Materials (Fluids, Proppant), 4.3.4 Scale, 2 Well completion, 5.4 Improved and Enhanced Recovery, 5 Reservoir Desciption & Dynamics, 4 Facilities Design, Construction and Operation, 4.1 Processing Systems and Design, 5.3.6 Chemical Flooding Methods (e.g., Polymer, Solvent, Nitrogen, Immiscible CO2, Surfactant, Vapex), 5.4 Improved and Enhanced Recovery, 2.4 Hydraulic Fracturing, 4.1.2 Separation and Treating, 1.8 Formation Damage, 1.8.5 Phase Trapping, 5.4.1 Waterflooding
- polymer, Simulation, alkali, surfactant, CEOR
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This paper describes a new chemical EOR numerical model capable of simulating surfactant and polymer floods. We present the highlights of a highly efficient and robust IMPES implementation within a legacy, in-house gas-oil-water compositional simulator. The additional computational overhead, over say a waterflood calculation, is on the order of only 20% for large scale (type pattern model) simulations. We present performance results both in serial as well as parallel (multi-processor) mode.
Flow within all three Winsor Type environments is modeled, with the ability to transition between the different types. The effects of a separate microemulsion (ME) phase are accounted for. Temperature effects on surfactant phase behavior as well as on adsorption are also considered. Other important physical effects that are modeled include phase trapping and oil bypassed by surfactant, near wellbore polymer injectivity and the reduction of surfactant adsorption associated with a sacrificial agent such as alkali. Gas phase is included in the model.
The model has been extensively benchmarked against another reservoir simulator. We also present some validation results at the laboratory as well as at the field scale.
|File Size||1 MB||Number of Pages||16|