悬浮颗粒过滤线性解析模型研究

Abstract

Abstract:

In order to study the influence of suspended particles and emulsified oil droplets on the water absorbing capacity in produced water reinjection process, we analyzed the suspended particles filtration model by the depth filtration and formation of the external filter cake, and optimized the solution of the model parameters（the filtration coefficient λ and the formation damage coefficient β）. Based on the solution curves fitted by the core flooding experiment data, and by the numerical solution of the transcendental equation, we obtained the variation rule of filtration coefficient（λ）, formation damage coefficient（β） and impedance slope（m） under the influence of different phase suspended particles. Then we got the impedance of the depth filtration and filter cake formation with piecewise fitting and calculated the particle concentration distribution of the core.

Key words: depth filtration, filter cake formation, filtration coefficient, formation damage coefficient

CLC Number:

TE358

Xiaowei Yu,Hongjian Li,Yunze Lyu, et al. Study on linear analytical model for suspended particle filtration[J]. Reservoir Evaluation and Development, 2018, 8(4): 58-62.

Figures/Tables 9

Table 1

Fig. 1

Fig. 2

Fig. 3

Table 2

Calculation results of model parameter"

实验类型	岩心分组	颗粒含量/(mg·L^-1)	$λ$	$λ ?$	$β$
固相颗粒驱替实验	S1-S6	4	38.128 3	38.116 7	3.283 0
	S2-S5	4	37.490 8
	S3-S4	4	38.731 1
固液颗粒驱替实验	M1-M6	2+3	24.890 6	25.619 1	3.035 3
	M2-M5	2+3	26.008 3
	M3-M4	2+3	25.958 3
液相颗粒驱替实验	L1-L6	6	15.234 1	14.756 4	1.743 8
	L2-L5	6	14.297 4
	L3-L4	6	14.737 8

Table 2

Fig. 4

Fig. 5

Fig. 6

Fig. 7

References 7

[1]	张宁生 . 对油井产出水回注造成地层损害的模拟[J]. 石油钻采工艺, 1995,17(1):47-54.
[2]	周孙彪, 康宜华, 牛斌 . 油田采油污水回注处理技术回顾与展望[J]. 石油机械, 2002,30(12):38-41. doi: 10.3969/j.issn.1001-4578.2002.12.014
[3]	张宁生 . 固相颗粒与油珠侵入地层孔隙的数学模型及模拟研究[J]. 天然气工业, 1995,15(2):34-37.
[4]	Shutong P, Sharma M M . A model for predicting injectivity decline in water-injection wells[J]. SPE Formation Evaluation, 1997,12(3):194-201. doi: 10.2118/28489-PA
[5]	Herzig J P, Leclerc D M, Goff P L . Flow of suspensions through porous media--application to deep filtration[J]. Industrial & Engineering Chemistry, 1970,62(5):8-35. doi: 10.1021/ie50725a003
[6]	Bedrikovetsky P, Vaz A S, Furtado C J , et al. Formation damage evaluation from nonlinear skin growth during coreflooding[J]. SPE Reservoir Evaluation & Engineering, 2011,14(2):193-203.
[7]	Bedrikovetsky P G, Fonseca D R, Da Silva M J, et al. Well-history-based prediction of injectivity decline in offshore waterfloods[C]// paper SPE-93885-MS presented at the SPE Latin American and Caribbean Petroleum Engineering Conference, 20-23 June 2005, Rio de Janeiro, Brazil.

实验类型	岩心编号	长度/ cm	直径/ cm	孔隙度, %	孔隙体积/ cm³
固相颗粒驱替实验	S1	3.5	2.54	12.94	2.29
	S2	4	2.54	12.79	2.59
	S3	4.5	2.54	13.15	3.00
	S4	5	2.54	13.08	3.31
	S5	5.5	2.54	12.89	3.59
	S6	6	2.54	13.21	4.02
固液颗粒驱替实验	M1	3.5	2.54	12.65	2.24
	M2	4	2.54	12.98	2.63
	M3	4.5	2.54	13.41	3.06
	M4	5	2.54	12.61	3.19
	M5	5.5	2.54	13.11	3.65
	M6	6	2.54	12.66	3.85
液相颗粒驱替实验	L1	3.5	2.54	12.88	2.28
	L2	4	2.54	13.31	2.70
	L3	4.5	2.54	13.28	3.03
	L4	5	2.54	12.68	3.21
	L5	5.5	2.54	12.59	3.51
	L6	6	2.54	13.08	3.98

Study on linear analytical model for suspended particle filtration

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