Volume 4, Issue 2, December 2020, Page: 64-69
Performance Evaluation of Waterflood Reservoirs in High Water Cut Period Based on New Relative Permeability Model
Haijun Fan, School of Petroleum Engineering, China University of Petroleum, Qingdao, China
Received: Sep. 18, 2020;       Accepted: Oct. 5, 2020;       Published: Oct. 13, 2020
DOI: 10.11648/j.pse.20200402.13      View  22      Downloads  15
Abstract
Water flooding performance evaluation and recovery prediction with relatively easy tools has always been among the top aims of reservoir engineering studies, especially for mature reservoirs in high water-cut period. Relative permeability curves are basic required properties reflecting multi-phase flow characteristic and used together with production history to evaluate reservoir performance. In high water-cut period the relative permeability ratio deviate from the empirical straight-line form, which makes traditional models less effective or erroneous in performance prediction. This paper presents a new relative permeability ratio model which can convert the non-linear characteristic of this problem into linear expression. And a new simple water flooding performance analysis technique is developed based on the new model, which can be used to forecast ultimate recovery factor and the corresponding sweep efficiency. The main advantage of this work is taking into account of high water-cut characteristic with less model parameters compared with other improved models. Synthetic case and field examples demonstrated the advantages of this method in parameter solving and consistency in history matching. The proposed technique in this work can be used as predictive analysis tool in forecasting ultimate recovery and performance evaluation for mature water flooding reservoirs.
Keywords
Water Flooding Performance, Relative Permeability, Recovery Factor, High Water-cut
To cite this article
Haijun Fan, Performance Evaluation of Waterflood Reservoirs in High Water Cut Period Based on New Relative Permeability Model, Petroleum Science and Engineering. Vol. 4, No. 2, 2020, pp. 64-69. doi: 10.11648/j.pse.20200402.13
Copyright
Copyright © 2020 Authors retain the copyright of this article.
This article is an open access article distributed under the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/) which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
Reference
[1]
Ershaghi, I., Omoregie O. (1978) A Method for Extrapolation of Cut vs. Recovery curve, JPT, (1978): 203-204.
[2]
Lo, K. K. (1990) A Study of the Post-Breakthrough Characteristics of Waterfloods, SPE 20064 presented at the 60th California Regional Meeting, Ventura, CA.
[3]
Yortsos, Y. C., Choi, Y. and Yang, Z. (1997) Analysis and Interpretation of the Water-Oil Ratio in Waterfloods, SPE 38869 presented at SPE Annual Technical Conference and Exhibition, San Antonio, TX.
[4]
B. Can, C. S. Kabir (2014) Simple tools for forecasting waterflood performance. Journal of Petroleum Science and Engineering, 120 (4): 111-118.
[5]
LIU Shihua, GU Jianwei, YANG Renfeng (2011) New water-flooding characteristic curve at high water-cut stage. Journal of Liaoning Technical University (Natural Science), 30 (Suppl): 158-163.
[6]
Song Zhaojie, Li Zhiping, Lai Fengpeng (2013) Derivation of water flooding characteristic curve for high water-cut oilfields. PETROLEUM EXPLORATION AND DEVELOPMENT, 40 (2): 201-208.
[7]
HOU Jian, WANG Rong-rong, XIA Zhi-zeng (2013) Improvement of water displacement curve for water flooded oil reservoirs at ultra-high water cut stage. Journal of China University of Petroleum, 37 (6): 72-75.
[8]
Wang Hua (2012) Application of improved water drive curve in recoverable reserves. PGRE, 19 (4): 84-86.
[9]
Chen Yuanqian, Zou Cunyou, Zhang Feng (2011) Application of water drive curve method in oilfield development evaluation. Fault-Block Oil & Gas Field, 18 (6): 769-771.
[10]
Zhengming Yang (2009) A New Diagnostic Analysis Method for Waterflood Performance. SPE 113856, SPE Reservoir Evaluation & Engineering, 2009 (4): 341-351.
[11]
Akram A. H., Camilleri L. and Badr A. (2011) Production Forecasting in Heterogeneous Reservoirs without Reservoir Simulation, SPE 13696, paper presented at the SPE Middle East Oil and Gas Show and Conference held in Manama, Bahrain.
[12]
XU F, MU L, WU X, et al (2014) New expression of oil/water relative permeability ratio vs. water saturation and its application in water flooding curve. Energy Exploration & Exploitation, 32 (5): 817-830.
[13]
CUI Chuanzhi, XU Jianpeng, WANG Duanping, et al (2015) A new water flooding characteristic curve at ultra-high water cut stage. Acta Petrolei Sinica, 36 (10): 1267-1271.
[14]
LIU Zhibin, LIU Haohan (2015) An effective method to predict oil recovery in high water cut stage. Journal of Hydrodynamics, 27 (6): 988-995.
[15]
WANG Jiqiang, SHI Chengfang, JI Shuhong, et al. (2017) New water drive characteristic curves at ultra-high water cut stage. Petroleum Exploration and Development, 44 (6): 955-960.
[16]
Guo Y H, Zhang L, Yao J, et al. (2019) Mechanisms of water flooding characteristic curve upwarping at high water-cut stage and influencing factors. Chin Sci Bull, 64 (26): 2751–2760.
[17]
DOU Hong’en, ZHANG Hujun, SHEN Sibo (2019) Correct understanding and application of waterflooding characteristic curve. Petroleum Exploration and Development, 46 (4): 755-762.
[18]
GAO Wenjun, YIN Rui, YANG Jing (2020) Establishment and theoretical basis of the new water-flooding characteristic curve. Acta Petrolei Sinica, 41 (3): 342-347.
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