基于有限元数值模拟的致密储层体积压裂效果影响参数分析

Abstract

Abstract:

In general, complex fracture network was formed after SRV fracturing operation in tight reservoirs, and the horizontal well yield was increased by changing the seepage field near the fracturing wells. At present, there was few weight analysis about the influence of SRV fracturing influence parameters of tight reservoirs on fracturing effect at different periods after the production of horizontal wells. By establishing the two-phase finite element equation which was applicable to the tight oil reservoir and water, finite element numerical simulation of complex fracture network was carried out, and the orthogonal experiment and grey correlation method were adopted to analyze the influence degree of horizontal well volume fracturing influence parameters on productivity of oil wells within 10 years. The results showed that the fracture conductivity determines the initial fracturing productivity of horizontal wells, and the fracture length determined the decline rate of daily production of horizontal wells and the level of steady production in the later stage. With the continuous production of fracturing wells, the fracture length replaced the fracture conductivity and became a key factor affecting the yield. The research on the influence degree of each influence parameter on the fracturing effect in different periods in which horizontal wells could provide theoretical support for the construction and design of SRV fracturing horizontal wells in tight reservoirs.

Key words: tight reservoir, influence parameters, volume fracturing, finite element numerical simulation, complex fracture

CLC Number:

TE377

Fuping Feng,Yang Lei,Dingfeng Chen, et al. Parameter analysis of SRV fracturing effect of tight reservoirs based on finite element numerical simulation[J]. Reservoir Evaluation and Development, 2019, 9(1): 29-33.

Figures/Tables 6

Table 1

Fig. 1

Fig. 2

Fig. 3

Table 2

Table 3

References 15

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生产时间	日产油量			累积产油量
生产时间	裂缝长度	裂缝密度	裂缝导流能力	裂缝长度	裂缝密度	裂缝导流能力
最大日产量	0.300	0.333	0.367	0.300	0.333	0.367
第一年	0.311	0.330	0.359	0.307	0.326	0.366
第二年	0.335	0.327	0.338	0.320	0.320	0.360
第三年	0.351	0.324	0.325	0.330	0.316	0.354
第四年	0.362	0.325	0.313	0.337	0.313	0.350
第五年	0.371	0.326	0.303	0.341	0.311	0.348
第六年	0.376	0.326	0.298	0.343	0.310	0.347
第七年	0.380	0.325	0.295	0.345	0.309	0.346
第八年	0.382	0.324	0.294	0.346	0.308	0.346
第九年	0.383	0.324	0.294	0.346	0.308	0.345
第十年	0.383	0.323	0.294	0.347	0.308	0.345

Parameter analysis of SRV fracturing effect of tight reservoirs based on finite element numerical simulation

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方案序号	裂缝半长/ m	裂缝密度/ （每1 000 m裂缝条数）	裂缝导流能力/ （μm²·cm）
1	150	10	15
2	200	10	20
3	250	10	25
4	150	13	20
5	200	13	25
6	250	13	15
7	150	16	25
8	200	16	15
9	250	16	20

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方案序号	裂缝半长/ m	裂缝密度/ （每1 000 m裂缝条数）	裂缝导流能力/ （μm²·cm）
1	150	10	15
2	200	10	20
3	250	10	25
4	150	13	20
5	200	13	25
6	250	13	15
7	150	16	25
8	200	16	15
9	250	16	20

方案序号	裂缝半长/ m	裂缝密度/ （每1 000 m裂缝条数）	裂缝导流能力/ （μm²·cm）
1	150	10	15
2	200	10	20
3	250	10	25
4	150	13	20
5	200	13	25
6	250	13	15
7	150	16	25
8	200	16	15
9	250	16	20