基于INPEFA技术的高分辨率层序地层研究——以埕北油田东营组二段为例  

Research of high resolution sequence stratigraphy using INPEFA:a case study in the second member of Dongying formation of Chengbei oilfield

作　　者：王梦琪[1] 谢俊[1] 王金凯[1] 董运晓 王泽润 段雅君[1] 

机构地区：[1]山东科技大学地球科学与工程学院,山东青岛266590

出　　处：《中国科技论文》2016年第9期982-987,994,共7页China Sciencepaper

基　　金：国家自然科学基金资助项目(41172109;51504143);山东省自然科学基金资助项目(ZR2014DP012;ZR2011DM009)

摘　　要：运用高分辨层序地层学只能对埕北油田厚储层特定级别的基准面旋回进行识别,缺乏统一的标准,存在人为性和多解性等问题。为提高层序划分的准确性及精确度,通过辅助利用最大熵频谱分析技术,对测井曲线进行合成预测误差滤波分析(integrated prediction error filter analysis,INPEFA)处理得到频率趋势线,借助INPEFA曲线趋势拐点的识别以实现不同级次层序界面的划分。研究采用"熵谱-测井定界面、频谱属性分析划小层"的方法,通过基准面变化趋势还原、INPEFA曲线趋势拐点和井间旋回对比分析,在东营组二段上部识别出5个旋回界面、5个中期旋回和11个短期旋回。因此,基于INPEFA技术的高分辨率层序地层研究可以实现洪泛面、剥蚀面的识别以及判断沉积环境的变化,准确识别不同级次的层序界面和旋回叠置形式。The high resolution sequence stratigraphy can only recognize Chengbei oilfield＇s thick reservoir base level cycles at specific levels.There are some problems such as the miss of unified standard,man-made and multi-solutions problems.In order to improve the accuracy and precision of the sequence division,the maximum entropy spectrum analysis technology is used to conduct INPEFA（integrated prediction error filter analysis）processing on logging curves to get the frequency trend line,whose turning point corresponds to sequence boundaries of different grades and has obvious layered marks.Therefore,the method of＂identifying interface with entropy spectrum-logging,and dividing small layers with spectrum attributive analysis＂is applied.Five cycle interfaces,five medium cycles and 11 short cycles are identified at the upper part of the dongying group 2with INPEFA processing to the GR curve of Chengbei oilfield and inter well cycle comparison and analysis.Therefore,research of high resolution sequence stratigraphy using INPEFA can realize the recognition flooding surface,erosion surface and the changes of sedimentary environment,accurate identification of different classes of sequence interface and cycle superimposed form.

关 键 词：高分辨率层序地层学 东营组二段 INPEFA技术 厚储层小层划分与对比 

分 类 号：P618.13[天文地球—矿床学] P539.2[天文地球—地质学]