Development of a Chemical Flood Simulator Based on Predictive HLD-NAC Equation of State for Surfactant
- Luchao Jin (University of Oklahoma) | Zhitao Li (Ultimate EOR Services LLC) | Ahmad Jamili (University of Oklahoma) | Haishan Luo (The University of Texas at Austin) | Mojdeh Delshad (The University of Texas at Austin) | Jun Lu (The University of Tulsa) | Ben Shiau (University of Oklahoma) | Jeffrey H. Harwell (University of Oklahoma) | Zhenhua Rui (Independent Project Analysis, Inc.)
- Document ID
- Society of Petroleum Engineers
- SPE Annual Technical Conference and Exhibition, 26-28 September, Dubai, UAE
- Publication Date
- Document Type
- Conference Paper
- 2016. Society of Petroleum Engineers
- 2.5.2 Fracturing Materials (Fluids, Proppant), 5.3.2 Multiphase Flow, 4.6 Natural Gas, 5.3.6 Chemical Flooding Methods (e.g., Polymer, Solvent, Nitrogen, Immiscible CO2, Surfactant, Vapex), 5.5.2 Core Analysis, 2 Well completion, 5 Reservoir Desciption & Dynamics, 5.4 Improved and Enhanced Recovery, 2.4 Hydraulic Fracturing, 4.6 Natural Gas, 5.2.1 Phase Behavior and PVT Measurements, 5.5 Reservoir Simulation, 5.2 Fluid Characterization, 5.2.2 Fluid Modeling, Equations of State
- Phase Behavior, Chemical Flood Simulator, Surfactant, HLD NAC, Prediction
- 0 in the last 30 days
- 185 since 2007
- Show more detail
- View rights & permissions
|SPE Member Price:||USD 8.50|
|SPE Non-Member Price:||USD 25.00|
Chemical flood reservoir simulators developed based on component partitioning model or empirical phase behavior model lack the effects of physical properties such as surfactant structure and oil properties i.e. equivalent alkane carbon number (EACN) on microemulsion phase behavior. Hence, these simulators have limited function in helping formulation design. A typical empirical microemulsion phase behavior model is the Hand's model that is used in UTCHEM, a benchmark chemical flood compositional simulator. However, it needs several matching parameters to fit phase behavior experiments and requires iterative calculations to solve phase compositions. Therefore, it is desirable to develop a chemical flood simulator with a more efficient and physics-based phase behavior model.
This work incorporates a physics based HLD-NAC equation of state (EOS) into UTCHEM. A non-iterative flash calculation algorithm based on HLD-NAC microemulsion EOS is developed, which uses simple equations to represent plait point, binodal curve, and tie-lines. Input model parameters include quantitatively characterized physical properties, such as oil EACN, reservoir temperature, surfactant structure properties (head area and tail length), and optimum solubilization ratio. Therefore, the effects of these parameters on oil recovery can be systemically studied. Coreflood simulation results are validated against the Hand's model.
Compared to the Hand's model which requires at least 5 matching parameters and with limited predictability, the HLD-NAC EOS can reproduce microemulsion phase behavior with surfactant tail length as the only fitting parameter. Comparing coreflood simulations using the HLD-NAC model and the Hand's model shows that the same oil recovery curves are obtained when slug at optimum salinity is injected. However, for corefloods using a salinity gradient design, HLD-NAC model predicts higher oil recovery than the Hand's model. The reasons for the differences are analyzed by examining the simulated solubilization ratios and ternary phase diagrams at different salinities. Moreover, numerical experiments show that the HLD-NAC model improves the phase behavior computational efficiency by approximately 65%. The effect of live oil at reservoir pressure is also investigated. Results indicate shifted optimal salinity and solubilization ratio due to solution gas and pressure lead to larger microemulsion bank.
Owing to the physical significance, simplicity, and computational efficiency of the HLD-NAC EOS, this novel chemical flooding simulator proves to be a fast and promising tool to speed up surfactant screening process and helping chemical formulation development and injection designs.
|File Size||3 MB||Number of Pages||25|
Abbott, S. 2016. Surfactant Science: Principles and Practice, 198. http://www.stevenabbott.co.uk/ (Reprint).
Austad, T., H. Hodne, S. Strand, K. Veggeland. 1996. Chemical flooding of oil reservoirs .5. The multiphase behavior of oil/brine/surfactant systems in relation to changes in pressure, temperature, and oil composition. Colloids and Surfaces a-Physicochemical and Engineering Aspects 108 (2-3): 253–262. <Go to ISI>://WOS:A1996UB00800011.
Austad, T., S. Strand. 1996. Chemical flooding of oil reservoirs .4. Effects of temperature and pressure on the middle phase solubilization parameters close to optimum flood conditions. Colloids and Surfaces a-Physicochemical and Engineering Aspects 108 (2-3): 243–252. <Go to ISI>://WOS:A1996UB00800010.
Budhathoki, M., T. P. Hsu, P. Lohateeraparp, B. L. Roberts, B. J. Shiau, J. H. Harwell. 2016. Design of an optimal middle phase microemulsion for ultra high saline brine using hydrophilic lipophilic deviation (HLD) method. Colloids and Surfaces a-Physicochemical and Engineering Aspects 488: 36–45. <Go to ISI>://WOS:000366941900006.
Hsieh, W. C., D. O. Shah. 1977. The Effect of Chain Length of Oil and Alcohol As Well as Surfactant to Alcohol Ratio on the Solubilization, Phase Behavior and Interfacial Tension of Oil/Brine/Surfactant/Alcohol Systems. SPE-AIME International Symposium on Oilfield and Geothermal Chemistry, La Jolla, CA.
Rosen, M.J. 2004. Surfactants and Interfacial Phenomena, Wiley (Reprint). https://books.google.com/books?id=fn_NcYDOfdQC.
Salager, J. L., A. M. Forgiarini, J. Bullon. 2013a. How to Attain Ultralow Interfacial Tension and Three-Phase Behavior with Surfactant Formulation for Enhanced Oil Recovery: A Review. Part 1. Optimum Formulation for Simple Surfactant-Oil-Water Ternary Systems. Journal of Surfactants and Detergents 16 (4): 449–472. <Go to ISI>://WOS:000323326400001.
Salager, J. L., A. M. Forgiarini, L. Marquez, L. Manchego, J. Bullon. 2013b. How to Attain an Ultralow Interfacial Tension and a Three-Phase Behavior with a Surfactant Formulation for Enhanced Oil Recovery: A Review. Part 2. Performance Improvement Trends from Winsor's Premise to Currently Proposed Inter- and Intra-Molecular Mixtures. Journal of Surfactants and Detergents 16 (5): 631–663. <Go to ISI>://WOS:000323326300001.
Salager, S. E., E. C. Tyrode, M. T. Celis, J. L. Salager. 2001. Influence of the stirrer initial position on emulsion morphology. Making use of the local water-to-oil ratio concept for formulation engineering purpose. Industrial & Engineering Chemistry Research 40 (22): 4808–4814. <Go to ISI>://WOS:000171825900014.
Velasquez, J., C. Scorzza, F. Vejar, A. M. Forgiarini, R. E. Anton, J. L. Salager. 2010. Effect of Temperature and Other Variables on the Optimum Formulation of Anionic Extended Surfactant-Alkane-Brine Systems. Journal of Surfactants and Detergents 13 (1): 69–73. <Go to ISI>://WOS:000272800600009.