重庆科技大学学报（自然科学版）2025，Vol.27Issue(3)：12-25,14.DOI:10.19406/j.issn.2097-4531.2025.03.002
基于CRITIC权重法的页岩油储层裂缝识别方法研究
Research on the Identification Method of Fractures in Shale Oil Reservoirs Based on the CRITIC Weighting Method:A Case Study of the Liushagang Formation in the Weixinan Depression,Beibu Gulf Basin
摘要
Abstract
Taking the Liushagang Formation in the Weixinan Depression of the Beibu Gulf Basin as an example,this study investigates the fracture identification in shale oil reservoirs.The fractures in the study area are small in scale and the geological environment is complex.Traditional wavelet transform methods based on conventional logging are limited due to the weak fracture response signals and insufficient resolution and identification accuracy.Therefore,a novel fracture identification method for shale oil reservoirs based on the CRITIC weighting method is proposed.Firstly,the development indices of multiple fractures are calculated,and their local variation characteristics are an-alyzed through wavelet transform.Then,the CRITIC weighting method is utilized to quantify the weights of various parameters and generate a comprehensive energy curve to characterize the fracture-developed intervals.This meth-od,through multi-parameter weighted fusion,can effectively suppress errors caused by anomalies in individual data and improve the accuracy of identification results.Comparisons between core photos and electrical imaging data show that the results identified by the CRITIC weighting method are highly consistent.Applying this method to the study area reveals that the development degree of interbedded fractures in this shale oil reservoir is higher than that of matrix-type fractures and laminated-type fractures.关键词
CRITIC权重法/页岩油储层/常规测井/页岩油裂缝/小波变换Key words
CRITIC weighting algorithm/shale oil reservoirs/conventional well logging/fracture in shale oil reser-voirs/wavelet transformation method分类
天文与地球科学引用本文复制引用
王晓飞,陈鸣,曾诚翔,孙宝龙,唐明峥,杨福林,赖富强..基于CRITIC权重法的页岩油储层裂缝识别方法研究[J].重庆科技大学学报（自然科学版）,2025,27(3):12-25,14.基金项目
重庆市教委重点科学技术研究项目"深层碳酸盐岩储层缝洞图像信息深度挖掘及精细评价"(KJZD-K202301508) （KJZD-K202301508）
