摘要
准噶尔盆地莫西庄地区三工河组二段岩性复杂多样、变化快,单砂岩体中薄层岩性频繁互层,存在较强的岩性、物性、含油非均质性特征。精细划分薄互层岩性并识别其分层界面是开展储层识别、流体解释及有效储层厚度确立等重要的前提工作。为了精确地识别薄互层岩性的分层界面,从测井信息采集分辨率与信号分析角度出发,提出了基于小波与反褶积相结合的薄互层岩性分层界面识别方法。首先,利用小波变换多尺度分解和重构原理,对自然伽马测井曲线进行高、低频分解,提取出反映地层岩性变化的有效信号与高频噪声;然后,对有效信号进行重构,构建一条去除噪声能够表征更接近真实地层信息的自然伽马测井曲线;最后,利用反褶积方法对重构的自然伽马测井曲线进行高分辨率处理,很大程度上提高了自然伽马测井曲线响应薄层岩性的纵向分辨率。经实例井取心岩性资料验证,利用该方法处理得到高分辨率自然伽马测井曲线的形态与数值特征能够有效地提高单砂岩体中多套薄互层岩性分层界面识别的精度,为莫西庄三工河组二段储层有效性精细评价提供了依据。
The second member of the Sangonghe formation in the Moxizhuang area of the Junggar basin is characterized by complex and diverse lithology with rapid variations.The thin layers of lithology within a single sandstone body frequently alternate,exhibiting pronounced lithological,physical,and oil-bearing heterogeneity characteristics.Therefore,meticulously distinguishing the thin interbedded lithology and identifying its layering interfaces are crucial prerequisites for reservoir identification,fluid interpretation,and the determination of effective reservoir thickness.To accurately identify the layering interfaces of thin interbedded lithology,we propose a method that integrates wavelet analysis with deconvolution,approaching it from the perspectives of logging information acquisition resolution and signal analysis.Firstly,utilizing the principle of multi-scale decomposition and reconstruction of wavelet transform,the natural gamma ray(GR)logging curve is decomposed into high and low frequency components,thereby extracting effective signals reflecting lithological variations of the strata as well as high-frequency noise.Then,the effective signals are reconstructed to form a GR curve that has been denoised and better represents the true stratigraphic information.Finally,the deconvolution method is applied to the reconstructed GR curve for high-resolution processing,significantly enhancing the vertical resolution of the GR curve in response to thin-bedded lithology.As validated by core lithology data from exemplary wells,the morphological and numerical characteristics of the high-resolution GR curve obtained through this method can effectively enhance the precision in identifying multiple thin interbedding interfaces within sandstone bodies,thereby offering a solid foundation for conducting detailed evaluations of the reservoir effectiveness in the second member of the Sangonghe formation within the Moxizhuang area.
作者
李志鹏
黄莉莎
闫建平
杨明林
乌洪翠
王敏
LI Zhipeng;HUANG Lisha;YAN Jianping;YANG Minglin;WU Hongcui;WANG Min(SINOPEC Xinjiang Xinchun Petroleum Development CO.LTD.,Wusu,Xinjiang 833300,China;School of Geoscience and Technology,Southwest Petroleum University,Chengdu,Sichuan 610500,China;National Key Laboratory of Oil&Gas Reservoir Geology and Exploitation,Southwest Petroleum University,Chengdu,Sichuan 610500,China;Natural Gas Geology Key Laboratory of Sichuan Province,Sothwest Petroleum University,Chengdu,Sichuan 610500,China;Institute of Exploration and Development,Shengli Oilfield,SINOPEC,Dongying,Shandong 257015,China)
出处
《测井技术》
CAS
2024年第5期602-612,共11页
Well Logging Technology
基金
国家自然科学基金项目“低电阻率页岩气储层:成因机制差异及含气饱和度模型研究”(42372177)
中国石油化工股份有限公司课题“莫西庄低渗透低饱和度油藏综合评价关键技术研究”(P21007-8)。
关键词
岩性非均质性
“小波+反褶积”组合法
曲线重构
提高分辨率
岩性界面识别
lithological heterogeneity
"wavelet+deconvolution"combination method
curve reconstruction
improve resolution
lithologic interface identification
