CAJ | 학술논문

砂砾岩地层评价中岩性识别、层序划分以及地层对比是亟待解决的难题.在测井曲线中提取有效的地层信息是解决此问题的有效途径.在总结前人研究工作基础上,提出了测井属性的概念,并初步进行了属性分类,目前主要分为曲线多元参数统计属性、小波分析属性、频谱分析属性和积分属性4类.辅以典型实例分析,取得了明显的地质效果,提升了测井地质应用能力:多元参数统计属性能够有效地识别砂砾岩地层的复杂岩性;频谱分析属性对信号突变点具有敏感性,可以反映地层界面;根据小波的多尺度属性实现了由粗到细逐级地划分层.序界面;依据测井曲线的积分属性在砂砾岩地区地层对比工作中取得了良好的效果.
사력암지층평개중암성식별、층서화분이급지층대비시극대해결적난제.재측정곡선중제취유효적지층신식시해결차문제적유효도경.재총결전인연구공작기출상,제출료측정속성적개념,병초보진행료속성분류,목전주요분위곡선다원삼수통계속성、소파분석속성、빈보분석속성화적분속성4류.보이전형실례분석,취득료명현적지질효과,제승료측정지질응용능력:다원삼수통계속성능구유효지식별사력암지층적복잡암성;빈보분석속성대신호돌변점구유민감성,가이반영지층계면;근거소파적다척도속성실현료유조도세축급지화분층.서계면;의거측정곡선적적분속성재사력암지구지층대비공작중취득료량호적효과.
Lithological identification, sequence subdivision and stratigraphic correlation were the critical problems needed to be solved badly in sand-conglomerate formation evaluation. Extraction of effective strata information from logging curves was an effective way to solve the problem. On the basis of summarizing the predecessorsr experiences, the concept of logging attributes analysis(LAA) was proposed, which could be classified into four subdivisions, such as multi-pa rameter logging curve statistics, wavelet analytical attribute, spectral analytical attribute and integration attribute. The study was carried out through case analysis, and obvious geological effect was obtained, its ability of application in log ging geology was improved. Multi-parameter statistical analysis can effectively identify the complex lithology in sand-con glomerate formation. Spectral analysis, which is sensitive to signal jump, can be used to reflect the formation interface. Based on the multi-size characteristics of wavelet analysis, the sequence interface is subdivided coarse to fine grade com bined with the multi-scale wavelet analysis attributes, to identify the sequence interface by sedimentary cycle. Integration of logging curves achieves good effect in the stratigraphic correlation in sand-conglomerate region.