基于AHP-CRITIC法的储层非均质定量表征：以樊151块沙四上纯下次亚段2<sup>4</sup>小层为例

杨怡梦; 徐守余; 陈麦雨; 崔改霞; 胡津

doi:10.19509/j.cnki.dzkq.tb20240394

基于AHP-CRITIC法的储层非均质定量表征：以樊151块沙四上纯下次亚段2⁴小层为例

doi: 10.19509/j.cnki.dzkq.tb20240394

杨怡梦^1,,
徐守余^1, ,,
陈麦雨^{2, 3},
崔改霞¹,
胡津¹

1.
中国石油大学（华东）地球科学与技术学院，山东青岛 266580
2.
江西省国土空间调查规划研究院，南昌 330002
3.
自然资源部大湖流域国土空间生态保护修复工程技术创新中心，南昌 330025

基金项目: 国家科技重大专项课题（2017ZX05009001）

详细信息

作者简介:
杨怡梦：E-mail：2323773613@qq.com

通讯作者:
E-mail：xushouyu@upc.edu.cn

中图分类号: P618.13
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- 文章访问数: 163
- PDF下载量: 27
- 被引次数: 0
出版历程
- 收稿日期: 2024-07-15
- 录用日期: 2024-10-21
- 修回日期: 2024-10-15
- 网络出版日期: 2025-08-27

Quantitative characterization of reservoir heterogeneity using the AHP-CRITIC method: A case study of the 2⁴ layer of Es₄^scx submember in Block Fan 151

YANG Yimeng^1
,,
XU Shouyu^{1
, ,},
CHEN Maiyu^{2, 3},
CUI Gaixia¹,
HU Jin¹

1.
School of Geosciences, China University of Petroleum (East China), Qingdao Shandong 266580, China
2.
Land Spatial Survey and Planning Institute of Jiangxi Province, Nanchang 330002, China
3.
Technology Innovation Center for Land Spatial Ecological Protection and Restoration in Great Lakes Basin, MNR, Nanchang 330025, China

More Information

Author Bio:
E-mail：2323773613@qq.com

Corresponding author: E-mail：xushouyu@upc.edu.cn

摘要

摘要:
樊151块为低渗透滩坝砂油藏，储层整体物性差，非均质性强，导致在实际开发中原油采收率较低，滞留了较多的剩余油。分析储层非均质性对剩余油分布的影响，找出剩余油富集部位，对油田提高采收率具有重要的指导意义。同时储层非均质性综合指数的计算在定量表征非均质性方面具有重要意义，因此提高储层非均质性综合指数计算的准确性，可为预测油田开发有利区和寻找剩余油提供参数依据。为提高储层非均质性综合指数计算的准确性，提出了层次分析法（AHP）−客观赋权法（CRITIC）组合赋权法，采用线性组合法得到主客观复合权重，定量计算储层非均质综合指数，该方法兼顾主观性和客观性，实现优势互补弥补了单一赋权的不足。使用该方法对樊151块沙四上纯下次亚段2⁴小层储层非均质性进行了定量研究，结果表明：非均质综合指数I值的范围0.27～0.73，综合指数值在0.4～0.65之间的约占63%。研究区目的层呈现中等−较强非均质，非均质综合指数值I的高值区域分布情况与该小层剩余油饱和度平面等值线图的高值区域基本吻合，表明AHP-CRITIC组合赋权法为评价指标合理地分配了权重，且构建了适用于该小层的储层非均质性定量评价标准。研究成果为储层非均质定量表征提供了新方法。
- 层次分析法（AHP）−客观赋权法（CRITIC）组合赋权法 /
- 储层非均质性 /
- 定量表征 /
- 樊151块
Abstract: <p>Block Fan 151 is a low-permeability beach-bar sandstone reservoir with poor overall physical properties and strong heterogeneity, resulting in low oil recovery and a large amount of residual oil during its development. It is essential to analyze the influence of reservoir heterogeneity on the distribution of residual oil and identify its enrichment areas. Furthermore, calculating the reservoir heterogeneity comprehensive index plays a crucial role in quantitatively characterizing heterogeneity. Therefore, improving the accuracy of calculating the comprehensive index can provide a basis for predicting favorable areas for oilfield development and finding residual oil. </p></sec><sec><title>Objective
To improve the accuracy of the comprehensive reservoir heterogeneity index calculation,
Methods
this study proposes the analytic hierarchy process (AHP)-criteria importance though intercrieria correlation (CRITIC) combined weighting method. This method determines the composite weight of evaluation indicators using both subjective and objective data, overcoming the limitations of a single weighting method.
Results
Quantitative analysis of the reservoir heterogeneity of the 2⁴ layer of Es₄^scx submember in Block Fan 151 shows that the heterogeneity composite index I ranges from 0.27 to 0.73, with approximately 63% of the values ranging from 0.4 to 0.65. The target formation in the study area shows moderate to strong heterogeneity, and the distribution of high values of the anisotropy composite index I aligns closely with the high-value areas on the residual oil saturation contour map. This indicates that the AHP-CRITIC combined weighting method can reasonably assign weights to the evaluation indicators and construct a quantitative evaluation standard for the reservoir heterogeneity of this layer
Conclusion
This approach provides a new method for the quantitative characterization of reservoir heterogeneity.

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图 1 研究区地理位置(a)和樊151块沙四上纯下次亚段顶部构造图(b)（改编自文献[14]）

Figure 1. Location of the study area (a) and top structure map of Es₄^scx submember in Block Fan 151 (b)

下载: 全尺寸图片幻灯片

图 2 2⁴小层沉积微相展布图

Figure 2. Depositional microfacies distribution of 2⁴ layer

下载: 全尺寸图片幻灯片

图 3 2⁴小层储层平面非均质综合指数I等值线图

Figure 3. Contour map of reservoir plane heterogeneity composite index for the 2⁴ layer

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图 4 2⁴小层储层非均质性综合指数I累计频率百分比

Figure 4. Percentage of cumulative frequency of reservoir heterogeneity composite index for the 2⁴ layer

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图 5 2⁴小层剩余油饱和度平面展布图

Figure 5. Plane layout of remaining oil saturation of 2⁴ layer

下载: 全尺寸图片幻灯片

表 1 樊151块地层层序

Table 1. Stratigraphic sequence of Block Fan 151

界	系	组	段	亚段		厚度/m
新生界	第四系	平原组				300～350
	新近系	明化镇组				700～760
	新近系	馆陶组				250～300
	古近系	东营组				410～510
		沙河街组	沙一段沙二段沙三段			120～195
						160～230
						220～380
			沙四段	沙四上	纯上	100～190
				沙四上	纯下	80～160
				沙四下		未钻穿

下载: 导出CSV

表 2 平均一致性指标RI（n. 阶数）

Table 2. Indicator value of average consistency

n	1	2	3	4	5	6	7	8	9	10	11	12
RI	0	0	0.52	0.89	1.12	1.26	1.36	1.41	1.46	1.49	1.52	1.54

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表 3 樊151块沙四上纯下次亚段2⁴小层的8项指标参数

Table 3. Eight indicators of 2⁴ layer of Es₄^scx submember in Block Fan 151

井名	沉积微相	砂岩厚度/ m	φ_泥质/ %	渗透率/ 10⁻³μm²	渗透率变异系数	渗透率级差	夹层厚度/ m	夹层频率
F147-12	0.33	2.40	23.38	0.60	0.40	5.70	0	0.00
F151-x40	0.33	2.74	4.59	3.25	0.18	3.30	0	0.00
F151-x38	1.00	5.97	17.69	0.33	0.38	11.00	0.78	0.17
F151-22	1.00	5.90	41.15	1.10	0.93	34.44	1.15	0.34
F151-x37	0.33	3.12	43.28	0.75	0.41	2.41	2.80	0.32
F151-14	0.33	3.30	53.92	2.91	0.49	3.06	2.40	0.91
F151-5	1.00	6.40	19.87	2.30	0.39	11.00	0.75	0.16
F151-10	0.67	5.00	18.52	2.71	0.19	1.47	1.00	0.20
F151-15	0.67	6.00	35.47	24.44	1.19	17.31	2.50	0.50
F151-x7	0.67	7.99	40.99	0.54	0.00	16.00	2.22	0.25
F147-14	0.33	3.90	48.94	0.20	0.65	5.80	0.60	0.26
F147-7	0.33	3.80	42.36	0.06	0.65	6.60	0	0.00
F147	1.00	5.80	44.95	0.70	0.58	7.20	0.40	0.17
F147-11	0.33	3.50	26.91	1.54	0.52	7.90	0	0.00
F147-4	0.33	4.09	29.23	2.56	0.28	1.79	1.62	0.24

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表 4 储层评价指标参数权值

Table 4. Reservoir evaluation indicator weight

方法	沉积微相	砂岩厚度	泥质含量	渗透率	渗透率变异系数	渗透率级差	夹层厚度	夹层频率
AHP法	0.028	0.336	0.027	0.276	0.135	0.103	0.053	0.042
CRITIC法	0.21	0.121	0.106	0.118	0.119	0.093	0.131	0.102
AHP-CRITIC 组合法	0.119	0.229	0.066	0.197	0.127	0.098	0.092	0.072

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表 5 研究区储层平面非均质性定量评价标准

Table 5. Quantitative assessment criteria for reservoir plane heterogeneity in the study area

非均质性综合指数I	非均质程度	分类
I≤0.40	强非均质性	Ⅳ
0.4<I≤0.55	较强非均质性	Ⅲ
0.55<I≤0.65	中等非均质性	Ⅱ
I>0.65	弱非均质性	Ⅰ

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