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应用INPEFA技术和小波转换识别层序界面--以下寺湾油田泉8区块为例

Identification of sequence boundary by INPEFA technology and transformed wavelet:a case study in the Quan 8 block of Xiasiwan Oilfield
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摘要 针对下寺湾油田泉8区块长2段标志层缺失、地层侵蚀难以精细对比划分的问题,通过分析测井、试油、岩石薄片等资料,应用INPEFA技术、小波转换进行地层层序划分。结果表明:延10段向上至延9段由负趋势转变为正趋势,长1段上半部为正趋势,下半部分为负趋势,长2_(1)顶部出现了明显的负向拐点,底部存在正向拐点,长2_(2)正负趋势交替;采用INPEFA技术将长2油层划分为3个长期基准面旋回、6个中期基准面旋回、15个短期基准面旋回;应用转换小波对研究区垂直于剥蚀方向地层剖面进行精细划分,发现尺度因子a=24的转换小波地层对比明显。 Aiming at the problems of the absence of the marker bed in the Chang 2 Member of Quan 8 block in the Quanjiawan Oilfield of Xiasiwan,and the difficulty in fine comparison and division due to the formation erosion,through the analysis of logging,oil testing,rock thin section and other data,the INPEFA technology and wavelet transformation are applied to carry out the stratigraphic sequence division.The results indicate that from Yan 10 upward to Yan 9,the trend changes from negative to positive,while the upper half of Yan 1 shows a positive trend and the lower half shows a negative trend.There is an obvious negative inflection point at the top of Chang 2_(1),and a positive inflection point exists at the bottom,and alternating positive and negative trends at Chang 2_(2).Using INPEFA technology,the Chang 2 oil reservoir is divided into 3 long-term base level cycles,6 medium-term base level cycles,and 15 short-term base level cycles.The transformed wavelet is applied to make a fine division of the stratigraphic section perpendicular to the direction of denudation in the study area,and it is found that the stratigraphic correlation of the transformed wavelet with the scale factor a=24 is obvious.
作者 田伟伟 陈龙龙 王强 石彬 谢旭强 赵聪 TIAN Weiwei;CHEN Longlong;WANG Qiang;SHI Bin;XIE Xuqiang;ZHAO Cong(Research Institute of Shaanxi Yanchang Petroleum(Group)Co.,Ltd.,Xi’an,Shaanxi 710075,China)
出处 《石油地质与工程》 2025年第3期78-84,91,共8页 Petroleum Geology and Engineering
基金 陕西省科技统筹创新工程计划项目“延长难采储量有效动用开发技术研究”(2016KTCL01-12)。
关键词 下寺湾油田 泉8区块 长2段 INPEFA技术 小波转换 Xiasiwan Oilfield Quan 8 block Chang 2 Member INPEFA technique transformed wavelet
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