碳酸盐岩地层划分及类型识别方法
发布时间：2018-11-08 11:45
【摘要】：四川盆地普光地区碳酸盐岩储层具有溶蚀孔洞发育、裂缝较发育和常规测井响应特征不明显等特点,目前,利用常规测井资料进行地层划分及地层类型识别存在困难,并且现有方法仅仅只能确定地层界面,并不能有效识别地层类型。为此,文中提出了基于成像测井资料的地层划分及类型识别方法。成像电阻率数据经过处理生成平均电阻率曲线,并与自然伽马曲线进行融合,生成反映地层信息的融合曲线,进行初始地层划分;从电成像测井图像中提取熵、能量等纹理特征,与图片数据库中的电成像测井图像进行欧式距离匹配,微调初始分层界面,并确定地层类型。实例应用表明,该方法融合多种测井信息划分地层,确定地层类型,效果良好。
[Abstract]:The carbonate reservoir in Puguang area of Sichuan Basin is characterized by the development of dissolution pores, the development of fractures and the unobvious response of conventional logging. At present, it is difficult to use conventional logging data for stratigraphic classification and formation type identification. And the existing methods can only determine the formation interface, can not effectively identify the formation type. Therefore, a method of stratigraphic classification and classification based on imaging logging data is proposed. After processing the imaging resistivity data, the average resistivity curve is generated and fused with the natural gamma curve to generate the fusion curve to reflect the formation information, and the initial stratigraphic division is carried out. The texture features such as entropy and energy are extracted from the electrical imaging logging image. The Euclidean distance matching is performed with the electrical imaging logging image in the image database. The initial stratification interface is fine-tuned and the formation type is determined. The practical application shows that the method is effective in classifying formation by combining various logging information and determining formation type.
【作者单位】： 长江大学油气资源与勘探技术教育部重点实验室;中国石油集团川庆钻探工程有限公司测井公司;
【基金】：国家自然科学基金项目“复杂地质背景下电成像测井层理面检测与产状快速提取方法研究”(413741148)
【分类号】：P618.13;P631.81
[Abstract]:The carbonate reservoir in Puguang area of Sichuan Basin is characterized by the development of dissolution pores, the development of fractures and the unobvious response of conventional logging. At present, it is difficult to use conventional logging data for stratigraphic classification and formation type identification. And the existing methods can only determine the formation interface, can not effectively identify the formation type. Therefore, a method of stratigraphic classification and classification based on imaging logging data is proposed. After processing the imaging resistivity data, the average resistivity curve is generated and fused with the natural gamma curve to generate the fusion curve to reflect the formation information, and the initial stratigraphic division is carried out. The texture features such as entropy and energy are extracted from the electrical imaging logging image. The Euclidean distance matching is performed with the electrical imaging logging image in the image database. The initial stratification interface is fine-tuned and the formation type is determined. The practical application shows that the method is effective in classifying formation by combining various logging information and determining formation type.
【作者单位】： 长江大学油气资源与勘探技术教育部重点实验室;中国石油集团川庆钻探工程有限公司测井公司;
【基金】：国家自然科学基金项目“复杂地质背景下电成像测井层理面检测与产状快速提取方法研究”(413741148)
【分类号】：P618.13;P631.81
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