摘要
裂缝广泛存在于各类岩石中,其特征对于储层评价、油气藏开发和地质灾害预测等领域具有重要意义。现有基于图像处理的裂缝提取技术在微裂缝识别、裂缝细节特征提取、裂缝与孔隙区分等方面存在明显不足。提出了一种多尺度裂缝滤波核叠加降噪方法,采用多个滤波核叠加对岩心CT扫描图像进行滤波降噪,再将滤波结果叠加;提出了一种多尺度信息增强裂缝分割方法,将阈值分割、顶帽分割等图像分割方法与边缘增强技术相结合,以增强微裂缝信息,并针对不同尺度裂缝采取不同的分割策略;分析了图像分割三维体的长度、宽度、表面积、体积、形状因子、平整度和伸长率等形态参数之间的关系。研究结果表明,多尺度裂缝滤波核叠加降噪方法显著降低了岩心CT扫描图像噪声干扰,精准地保留了裂缝细节特征;多尺度信息增强裂缝分割方法提高了多尺度裂缝的提取精确度和稳定性;裂缝形态参数图版能剔除与裂缝相似的孔隙、特殊矿物边界等非裂缝,最终实现多尺度裂缝的准确提取。
Fractures are widely present in various kinds of rocks and are critical for reservoir evaluation,deve⁃lopment,and geological disaster prediction.Existing image⁃based fracture extraction technologies have noticeable deficiencies in micro⁃fracture recognition,fracture detail extraction,and fracture and pore differentiation.A multiscale fracture filter kernel superimposition noise reduction method was proposed,which used multiple filter kernels in superimposition to filter and reduce noises in CT scanning images of rock cores,with the filtering results then superimposed.A multiscale information⁃enhanced fracture segmentation method was also proposed.It combined image segmentation methods such as threshold and top⁃hat segmentation with edge enhancement to better capture micro⁃fracture information,applying different strategies for fractures of varying scales.The relationships between morphological parameters such as length,width,surface area,volume,shape factor,flatness,and elongation of the segmented 3D volumes were analyzed.The results showed that the proposed noise reduction method signifi⁃cantly reduced noise interference in CT scanning images of rock cores,and accurately preserved detailed fracture characteristics.This method improves the accuracy and stability of multiscale fracture extraction.The fracture morphological parameter chart effectively eliminates non⁃fractures such as pores and special mineral boundaries that are similar to fractures,achieving precise extraction of multiscale fractures.
作者
吴丰
陈学武
赵辉
石祥超
刘建锋
WU Feng;CHEN Xuewu;ZHAO Hui;SHI Xiangchao;LIU Jianfeng(School of Geoscience and Technology,Southwest Petroleum University,Chengdu,Sichuan 610500,China;Research Institute of Geological Exploration and Development,Chuanqing Drilling Engineering Co.,LTD.,PetroChina,Chengdu,Sichuan 610051,China;State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation,Southwest Petroleum University,Chengdu,Sichuan 610500,China;State Key Laboratory of Hydraulics and Mountain River Engineering,Sichuan University,Chengdu,Sichuan 610065,China)
出处
《石油实验地质》
北大核心
2025年第4期882-894,共13页
Petroleum Geology & Experiment
基金
国家自然科学基金区域创新发展联合基金项目(U20A20266)
中国石油—西南石油大学创新联合体科技合作项目(2020CX010303)联合资助。
关键词
裂缝
数字岩心
CT扫描
图像处理
滤波
边缘增强
fracture
digital rock core
CT scanning
image processing
filtering
edge enhancement
