致密砂岩储集层渗透率预测修正方法

doi:10.7657/XJPG20200313

摘要/Abstract

摘要：

致密砂岩储集层孔喉细小、孔喉关系复杂,现有的渗透率预测模型常应用于常规砂岩或碳酸盐岩储集层,不能很好地预测致密砂岩储集层的渗透率。选取鄂尔多斯盆地长6—长8油层组的10块致密砂岩岩心,基于矿物分析和扫描电镜等实验,分析了样品的矿物组成与孔喉结构特征;基于高压压汞实验,对8类典型渗透率预测模型的特征参数进行了修正,建立了适用于致密砂岩储集层的渗透率预测修正方法,并对模型进行了优选与适应性评价。研究表明,修正的Pittman模型、Winland模型、Dastidar模型和K-T模型对致密砂岩储集层渗透率具有较好的预测效果;而修正的Purcell模型、Swanson模型、Thomeer模型和W-A模型的预测效果较差。

关键词: 致密砂岩油藏, 高压压汞, 渗透率预测, Pittman模型, Winland模型, Dastidar模型, K-T模型, 适应性评价

Abstract:

Tight sandstone reservoir is featured with tiny pore throat and complicated pore throat structure. The available models for reservoir permeability prediction are generally used for conventional sandstone or carbonate reservoirs, which cannot get good permeability prediction results of tight sandstone reservoirs. 10 core samples of tight sandstone obtained from Chang 6–Chang 8 members in Ordos basin are selected and the mineral compositions and pore throat structures of the samples are analyzed based on experiments of mineral analysis and SEM. On the basis of high-pressure mercury injection experiment, the paper modifies the parameters for 8 typical reservoir permeability prediction models, establishes modified methods suitable for permeability prediction of tight sandstone reservoirs and carries out model optimization and adaptability evaluation. The results show that the good prediction results for tight sandstone reservoirs can be obtained from the modified Pittman model, Winland model, Dastidar model and K-T model, but the prediction results from the modified Purcell model, Swanson model, Thomeer model and W-A model are relatively poor.

Key words: tight sandstone reservoir, high-pressure mercury injection, permeability prediction, Pittman model, Winland model, Dastidar model, K-T model, adaptability evaluation

中图分类号:

TE112.23

赵天逸, 宁正福, 陈刚, 田玲钰, 乔辉, 王纪委. 致密砂岩储集层渗透率预测修正方法[J]. 新疆石油地质, 2020, 41(3): 337-343.

ZHAO Tianyi, NING Zhengfu, CHEN Gang, TIAN Lingyu, QIAO Hui, WANG Jiwei. Modified Methods of Permeability Prediction for Tight Sandstone Reservoirs[J]. Xinjiang Petroleum Geology, 2020, 41(3): 337-343.

图/表 7

图1

表2

常规渗透率预测模型"

模型名称	表达式
Purcell模型^[9]（1949年）	$K = F (σ cos θ) 2 ? 2 × 104 ∫ 0 100 d S Hg P c 2$	（1）式
Winland模型^[10]（1980年）	$lg r 35 = 0.732 + 0.588 lg K - 0.864 lg ?$	（2）式
Swanson模型^[11]（1981年）	$K = 399 S b P c A 1.691$	（3）式
Thomeer模型^[12,13]（1983年）	$K = 3.806 F - 1.3334 S b ∞ P d 2$	（4）式
W-A模型^[14]（1985年）	$K = 30.5 S b P c A 1.56$	（5）式
K-T模型^[7]（1987年）	$K = C 2 L Hmax 3 L c ? S LHmax$	（6）式
Pittman模型^[15]（1992年）	$lg r apex = - 0.117 + 0.475 lg K - 0.099 lg ?$	（7）式
Dastidar模型^[16]（2007年）	$lg K = - 2.51 + 3.06 lg ? + 1.64 lg r WGM$ ,其中 $r WGM = ∏ i = 1 n r i w i 1 ∑ i = 1 n w i$	（8）式

表2

图2

图3

表3

修正的致密砂岩渗透率预测模型"

模型名称	表达式	修正相关系数（ $R adj 2$ ）
Purcell模型^[9]（1949年）	$K = 0.00172 ∫ 0 100 d S Hg P c 2$	0.879
Winland模型^[10]（1980年）	$lg K = - 2.341 + 0.717 lg r 20 + 1.955 lg ?$	0.932
Swanson模型^[11]（1981年）	$K = 0.0184 S b P c A 1.084$	0.820
Thomeer模型^[12,13]（1983年）	$K = 4.080 × 10 - 6 S b ∞ P d 2$	0.795
W-A模型^[14]（1985年）	$K = 0.0133 S b P c A 1.204$	0.845
K-T模型^[7]（1987年）	$K = 0.00448 L Hmax 3 L c ? S LHmax$	0.922
Pittman模型^[15]（1992年）	$lg K = - 0.900 + 0.922 lg r apex + 0.792 lg ?$	0.968
Dastidar模型^[16]（2007年）	$lg K = - 2.038 + 1.053 lg r WGM + 2.306 lg ?$	0.933

表3

图4

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