Selection of Wells for Profile Control and Water Plugging in Late High-Water Cut Stage in KS Oilfield

doi:10.7657/XJPG20220118

Abstract

Abstract:

In the late high-water cut stage in KS oilfield, profile control in water injection wells is a common measure to stabilize oil production while controlling water production. However, it is difficult to decide index limits and quantify weight values when selecting water wells. This study screened single-well, interwell and static indicators that can accurately reflect the characteristics of water channeling, developed a new kernel function based on polynomial kernel function, radial basis kernel function and Sigmoid kernel function, and optimized the fuzzy clustering method to improve the accuracy of fitting and prediction. Then a special fuzzy clustering method was proposed for selecting wells for profile control in the late high water-cut stage in KS oilfield. It can improve the recognition rates of sample set and detected set for selected wells. The new decision-making method for selecting wells for profile control has been applied to KS oilfield, and 3 wells were selected from 22 water wells for profile control. Significant oil increasing and water reducing effects have been achieved.

Key words: KS oilfield, sandstone reservoir, high water cut stage, profile control in water injection well, fuzzy clustering method, decision making for well selection, channeling pathway, stabilizing oil production and controlling water, kernel function

CLC Number:

TE357

WANG Guifang, WANG Shuoliang, XU Xuejian, LEI Yan, KANG Bo. Selection of Wells for Profile Control and Water Plugging in Late High-Water Cut Stage in KS Oilfield[J]. Xinjiang Petroleum Geology, 2022, 43(1): 122-126.

Figures/Tables 6

Table 1

Calculation methods of the optimal distance between fuzzy clusters"

距离类型	表达式
明科夫斯基距离	$d q (x i, x j) = x i - x j q = ∑ k = 1 p x ik - x jk q 1 q$	（3）式
曼哈坦距离	$d 1 (x i, x j) = x 1 - x j 1 = ∑ k = 1 q x ik - x jk$	（4）式
欧几里德距离	$d 2 (x i, x j) = x i - x j 2 = ∑ k = 1 p x ik - x jk 2 12$	（5）式
切比雪夫距离	$d ∞ (x i, x j) = x i - x j ∞ = max k ∈ 1,2, ?, p x ik - x jk$	（6）式
马哈拉诺比斯距离	$d a (x i - x j) = (x i - x j) T A (x i - x j)$	（7）式

Table 1

Table 2

Expressions and characteristics of commonly used kernel functions"

常用核函数	表达式		特征
多项式核函数	$K (x i, x j) = (x i x j + 1) q$	（8）式	全局性强,外推能力较强,内推能力较弱
径向基核函数	$K (x i, x j) = exp - x i - x j σ 2 2$	（9）式	内推能力较强,外推能力弱于多项式核函数
Sigmoid核函数	$K (x i, x j) = tanh [v (x i x j) + c]$	（10）式	对初值较敏感

Table 2

Table 3

Table 4

Table 5

Fig. 1.

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