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A Novel Simulation Framework for Predicting the Formation Parameters Variation in Unconsolidated Sandstone Reservoir

DOI: 10.4236/gep.2019.77012, PP. 172-183

Keywords: Formation Parameters Variation, Network Modeling, Numerical Simulation, High-Permeability Channels, Remaining Oil Distribution, Unconsolidated Sandstone Reservoir

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Abstract:

After long-term waterflooding in unconsolidated sandstone reservoir, the high-permeability channels are easy to evolve, which leads to a significant reduction in water flooding efficiency and a poor oilfield development effect. The current researches on the formation parameters variation are mainly based on the experiment analysis or field statistics, while lacking quantitative research of combining microcosmic and macroscopic mechanism. A network model was built after taking the detachment and entrapment mechanisms of particles in unconsolidated sandstone reservoir into consideration. Then a coupled mathematical model for the formation parameters variation was established based on the network modeling and the model of fluids flowing in porous media. The model was solved by a finite-difference method and the Gauss-Seidel iterative technique. A novel field-scale reservoir numerical simulator was written in Fortran 90 and it can be used to predict 1) the evolvement of high-permeability channels caused by particles release and migration in the long-term water flooding process, and 2) well production performances and remaining oil distribution. In addition, a series of oil field examples with inverted nine-spot pattern was made on the new numerical simulator. The results show that the high-permeability channels are more likely to develop along the main streamlines between the injection and production wells, and the formation parameters variation has an obvious influence on the remaining oil distribution.

References

[1]  Blunt, M. J., Bijeljic, B., Dong, H. et al. (2013). Pore-Scale Imaging and Modelling. Advances in Water Resources, 51, 197-216.
https://doi.org/10.1016/j.advwatres.2012.03.003
[2]  Chen, D. Q., Li, J. Y., Zhu, W. S., & Xin, Z. (2016). Experimental Re-search on Reservoir Parameters Variation after Water Flooding for Offshore Unconsolidated Sandstone Heavy Oil Reservoirs. China Offshore Oil and Gas, 28, 64-60.
[3]  Crandell, L. E., Peters, C. A., Um, W., Jones, K. W., & Lindquist, W. B. (2012). Changes in the Pore Network Structure of Hanford Sediment after Reaction with Caustic Tank Wastes. Journal of Contaminant Hydrology, 131, 89-99.
https://doi.org/10.1016/j.jconhyd.2012.02.002
[4]  Cui, C. Z., Geng, Z. L., Wang, Y. Z., Huang, Y., & Liu, H. (2012). Calculation Model of Dynamic Permeability Distribution and its Application to Water Drive Reservoir at High Water Cut Stage. Journal of China University of Petroleum (Edition of Natural Science), 36, 118-122.
[5]  Faruk, C. (2010). Non-Isothermal Permeability Im-pairment by Fines Migration and Deposition in Porous Media Including Dispersive Transport. Transport in Porous Media, 85, 223-258.
https://doi.org/10.1007/s11242-010-9557-0
[6]  Feng, Q. H., & Bai, J. W. (2011). Network Simulation on Effect of Displacement Pressure Gradient on Relative Permeability Curve. Petroleum Geology and Oilfield Development in Daqing, 30, 84-88.
[7]  Feng, Q. H., Li, S., Han, X. D. et al. (2015). Network Simulation for Formation Impairment due to Suspended Particles in Injected Water. Journal of Petroleum Science and Engineering, 133, 384-391.
https://doi.org/10.1016/j.petrol.2015.06.027
[8]  Feng, Q. H., Qi, J. L., Yin, X. M. et al. (2009). Simulation of Fluid-Solid Cou-pling during Formation and Evolution of High-Permeability Channels. Petroleum Exploration and Development, 36, 498-502.
[9]  Han, D. K. (2010). Status and Challenges for Oil and Gas Field Development in China and Directions for the Develop-ment of Corresponding Technologies. Engineering Science, 12, 51-57.
[10]  He, W. X., & Xu, Y. (2010). Law and Mechanism of Reservoir Parameters Change Both Before and After Waterflooding in Gangdong Development Area. Fault-Block Oil & Gas Field, 17, 191-193.
[11]  Hou, J., Li, Z. Q., Guan, J. T., Wang, K., & Chen, Y. (2005). Water Flooding Microscopic Seepage Mechanism Re-search Based on Three-Dimension Network Model. Acta Mechanica Sinica, 37, 783-787.
[12]  Jalel, O., & Jean-Francois, V. (1999). A Two-Dimensional Network Model to Simulate Permeability Decrease under Hydrodynamic Effect of Particle Release and Capture. Transport in Porous Media, 37, 303-325.
https://doi.org/10.1023/A:1006690700000
[13]  Jiang, H. Q., Gu, J. W., Chen, M. F., & Sun, M. (2005). Reservoir Simulation of Remaining Oil Distribution Based on Time-Variant Reservoir Model. Petroleum Explo-ration and Development, 32, 91-93.
[14]  Li, J., McDougall, S. R., & Sorbie, K. S. (2017). Dynamic Pore-Scale Network Model (PNM) of Water Imbibition in Porous Media. Advances in Water Resources, 107, 191-211.
https://doi.org/10.1016/j.advwatres.2017.06.017
[15]  Li, Y. (2005). Variation Rule of Macro Parameters and Dynamic Model of Oil Reservoirs in Continental Faulted Basin. Acta Petrolei Sinica, 26, 65-68.
[16]  Liu, H. Q., Li, B. Y., Wang, W. F. et al. (2014). Characteristics Analysis of the Reservoir and Predominate Channel in Block Jin-16. Journal of Southwest Petroleum University (Sci-ence & Technology Edition), 36, 60-68.
[17]  Rege, S. D., & Fogler, H. S. (1987). Network Model for Straining Dominated Particle Entrapment in Porous Media. Chemical Engineering Science, 42, 1553-1564.
https://doi.org/10.1016/0009-2509(87)80160-4
[18]  Shi, C. L., Zhang, F. H., & Chen, P. (2013). Affection of Sim-ulating Water-flooding by Water Injection Tests on Reservoir Properties. Journal of Southwest Petroleum University (Science & Tech-nology Edition), 35, 87-93.
[19]  Shokri, A. R., & Babadagli, T. (2016). Field Scale Modeling of CHOPS and Solvent/Thermal Based Post CHOPS EOR Applications Considering Non-equilibrium Foamy Oil Behavior and Realistic Representation of Wormholes. Jour-nal of Petroleum Science and Engineering, 137, 144-156.
https://doi.org/10.1016/j.petrol.2015.11.026
[20]  Watson, M. G., Bondino, I., Hamon, G., & McDougall, S. R. (2017). A Pore-Scale Investigation of Low-Salinity Waterflooding in Porous Media: Uniformly Wetted Systems. Transport in Porous Media, 118, 201-223.
https://doi.org/10.1007/s11242-017-0854-8
[21]  Wu, X. S., Su, X. J., & Wu, Z. L. (2002). Logging Geology Evaluation of Reservoir Parameter Changes in Water Flooding Production. Well Logging Technology, 26, 311-314.
[22]  You, Q. D., Zhou, F. X., Zhang, J. L., & Chen, Y. (2007). Law and Mechanism of Parameters Change in Saliferous Reservoir. Journal of China University of Petroleum (Edition of Natural Science), 31, 79-82.

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