用形态学滤波从电导率图像中提取缝洞孔隙度谱

发布时间：2018-04-11 17:43

本文选题：电成像测井 + 多尺度形态学滤波　；参考：《吉林大学学报(地球科学版)》2017年04期

【摘要】：为了更好地实现对缝洞型储层孔隙结构和孔隙度的精细评价,基于高覆盖率和高分辨率电成像测井的电导率数据,用多尺度形态学滤波方法分离了基质孔、裂缝和溶蚀孔洞,提取了缝洞孔隙度谱。首先分析了电成像测井对裂缝和溶蚀孔洞的响应模式;其次,在简单介绍数学形态学算子的基础上,给出了结构元素选择和滤波算子构造的方法,用于电成像测井数据的噪声压制和缝洞异常电导率信息的提取;再次,基于缝洞发育处电导率异常的边缘检测结果,用椭圆形及不规则多边形函数拟合溶蚀孔洞,用多项式插值函数拟合裂缝边界,继而提取缝洞分布多类属性参数,获得缝洞孔隙度谱;最后,用实测数据对文中算法进行了测试,验证了多尺度数学形态学滤波方法用于电成像测井资料缝洞孔隙度谱计算的有效性。
[Abstract]:In order to better evaluate the pore structure and porosity of fracture-cavity reservoir, based on the conductivity data of high coverage and high resolution electrical imaging logging, the matrix pore, fracture and solution pore were separated by multi-scale morphological filtering method.The porosity spectrum was extracted.First, the response mode of electrical imaging logging to fracture and solution hole is analyzed. Secondly, on the basis of a brief introduction of mathematical morphology operator, the selection of structural elements and the construction of filter operator are given.It is used for noise suppression of electrical imaging logging data and extraction of abnormal conductivity information of fractures and cavities. Thirdly, based on the edge detection results of electrical conductivity anomalies in fracture and cavity development, the elliptical and irregular polygon functions are used to fit the solution holes.The fracture boundary is fitted with polynomial interpolation function, and then many kinds of attribute parameters of fracture and cavity distribution are extracted, and the porosity spectrum of fracture and cavity is obtained. Finally, the algorithm is tested with measured data.The validity of multi-scale mathematical morphological filtering method for calculating fracture-cavity porosity spectrum of electrical imaging logging data is verified.
【作者单位】：中石油测井有限公司华北测井事业部;中国石油大学(北京)地球物理与信息工程学院;中石油华北油田分公司勘探开发研究院;
【基金】：中国石油天然气股份有限公司重大科技专项项目(2017E-15)~~
【分类号】：P618.13;P631.81

【参考文献】