一种基于灰色关联分析的页岩储层可压性评价方法

doi:10.13809/j.cnki.cn32-1825/te.2020.01.006

摘要/Abstract

摘要：

页岩储层的可压性评价是个复杂的系统工程。由于影响储层可压性的参数众多,包括储层基础地质参数（孔隙度、渗透率、含气量、有机碳含量等）,工程地质参数（岩石强度、弹性模量、泊松比、地层压力、地应力等）以及工程参数（水平段长、优质储层钻遇率、分段分簇、压裂规模等）多参数影响,且不同气田的主要影响因素不同,复杂工区光是寻找影响产能的主控因素都需要进行多轮先导试验进行分析评价。由于目前国内还没有一个统一、权威的页岩储层可压性评价方法,气田储层可压性评价任务迫在眉睫,因此,提出了一种基于灰色关联分析的页岩气储层可压性分析评价方法。其优点在于可快速地明确影响产量主控敏感参数。参数相关性强,可根据敏感参数预测压后产量,且随后期开发井数量越多预测精度越高。气田可以通过工程工艺优化调整得出的主控敏感参数,达到进一步提高压裂效果的目的。

关键词: 页岩气, 储层可压性, 灰色关联, 主控敏感参数, 压裂综合指数

Abstract:

The crushability evaluation of shale reservoir is a complex system engineering. But as there are many parameters that affect the reservoir crushability, including the reservoir basic geological parameters, the rock mechanics, the formation pressure, the in-situ stress and the engineering technology, and the main influencing factors of different gas fields are different, multiple round of pilot tests are needed just to find out the main control factors affecting the productivity in complex working areas. Until now, there is no unified and authoritative evaluation method for shale reservoir crushability in China, it is extremely urgent to complete this task. Therefore, a method for shale gas reservoir crushability evaluation based on grey correlation analysis is proposed. This method has the advantages that it can quickly identify the main control sensitive parameters that affect the production. The correlation of the parameters is strong. And the production after fracturing can be predicted according to the sensitive parameters. With the increase of the number of developed wells, the prediction accuracy will be higher. In the gas field, the main control sensitive parameters can be adjusted by the optimization of engineering process, so as to further improve the fracturing effect.

Key words: shale gas, reservoir crushability, grey correlation, wain control sensitive parameter, fracturing comprehensive index

中图分类号:

TE357

龙章亮,温真桃,李辉,曾贤薇. 一种基于灰色关联分析的页岩储层可压性评价方法[J]. 油气藏评价与开发, 2020, 10(1): 37-42.

LONG Zhangliang,WEN Zhentao,LI Hui,ZENG Xianwei. An evaluation method of shale reservoir crushability based on grey correlation analysis[J]. Reservoir Evaluation and Development, 2020, 10(1): 37-42.

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影响参数	YY7	YY6	YY2	YY3-1	YY1	关联顺序	平均关联度
2—3¹优质储层钻遇长度/m	373.5	194.0	158.0	79.9	688.0	1	0.068 2
2— 3¹优质储层厚度/m	5.93	4.40	4.62	4.22	6.22	2	0.064 3
弹性模量	26.53	25.18	22.67	20.80	31.6	3	0.058 6
五峰组钻遇长度/m	208.5	37	0	0	206	4	0.051 7
分段	17	16	21	21	23	5	0.051 1
分簇	44	41	55	59	62	6	0.049 2
返排率	26.20	36.12	27.50	16.89	14.01	7	0.046 5
五峰组厚度/m	6.9	7.3	6.5	7.0	7.5	8	0.045 3
II型断裂韧性	0.791	0.741	0.659	0.814	0.654	9	0.041 6
孔隙度×优质页岩厚度×含气量	24.75	15.95	14.16	19.65	20.95	10	0.038 1
泊松比	0.265	0.270	0.223	0.220	0.223	11	0.037 4
力学脆性指数	0.441	0.482	0.527	0.480	0.480	12	0.035 9

井号	压裂综合指数	无阻流量/（10⁴ m³·d^-1）
YY7	0.415 1	8.00
YY6	0.306 9	9.90
YY2	0.474 1	10.40
YY3-1	0.474 4	12.28
YY1	0.796 2	21.00

井号	中深/ m	计算无阻流量/ （10⁴ m³·d^-1）	水平段长/ m	I号峰之上	I号峰	Ⅱ上半幅—Ⅲ下半幅	五峰组	临湘组	I_A类储层钻遇率/%
YY1-2HF	3 936	23.30	1 560		242	1 121	172	25	72.0
YY1-4HF	3 847	26.45	1 503	74	11	1 160	258		77.0
YY1HF	3 941	19.00	1 502	53	555	688	206		45.8
YY1-1HF	3 997	14.85	1 483	230	191	801	254	7	54.0
YY1-3HF	3 791	8.50	1 238			588	650		47.5