摘要
龙12-塔35区块断裂发育复杂,葡萄花油层砂体较薄且连续性较差,沉积微相划分困难。首先结合储层特征及对应模型地震道特征,确定时窗、波形分类数等地震波形分类关键参数,利用神经网络识别技术将目的层三维地震数据划分为不同的地震波类型,然后结合测井资料分析确定地震波形与沉积类型的对应关系,对研究区进行沉积区域的划分。研究区可划分为3个沉积区域,Ⅰ区域波形特征为一个低频强波峰,连续性较好,砂体单层厚度较大、测井曲线显示明显正旋回河道特征;Ⅱ区域波形特征为“两峰夹一谷”,波形在剖面上连续性较差,砂体具有单层薄、层数多整体厚的特征;Ⅲ区域波形特征为“两峰夹弱谷”的复波特征,体现出Ⅰ区与Ⅱ区域交汇特征。分析表明葡萄花油层具有明显的双物源特征,波形分类技术对葡萄花油层物源分析及沉积微相划分具有重要的指导作用。
The Long 12-Ta 35 block has complex fracture development,thin and poorly continuous sand body of the Grapevine oil formation,and difficult sedimentary microphase delineation.Firstly,combining reservoir characteristics and corresponding model seismic channel characteristics,we determine the key parameters of seismic waveform classification such as time window and waveform classification number,and use neural network recognition technology to classify the 3D seismic data of the target layer into different seismic waveform types,and then combine the analysis of logging data to determine the correspondence between seismic waveform and deposition type,and divide the study area into deposition regions.The waveform in areaⅠis characterized by a low-frequency strong peak with good continuity,and the sand body has a large single-layer thickness,and the logging curve shows obvious positive rotational channel characteristics;the waveform in areaⅡis characterized by"two peaks and a valley",and the waveform has poor continuity in the profile,and the sand body is characterized by a thin single layer and a thick overall layer.The waveform in areaⅡis characterized by"two peaks and one valley",with poor continuity in the profile,and the sand body is characterized by thin single layer and thick layers.The waveform in theⅢarea is characterized by a complex waveform with"two peaks and a weak valley",reflecting the intersection of theⅠarea and theⅡarea.The analysis shows that the Grapevine oil layer has obvious dual source characteristics,and the waveform classification technique is an important guide to the source analysis and sedimentary microphase delineation of the Grapevine oil layer.
作者
张学娟
冯庭乐
冯丽
张霭瑜
佘海燕
Zhang Xuejuan;Feng Tingle;Feng Li;Zhang Haiyu;She Haiyan(Chongqing University of Science and Technology,Chongqing 400000)
出处
《石化技术》
CAS
2023年第9期138-141,共4页
Petrochemical Industry Technology
基金
重庆市自然科学基金面上项目“基于压裂效果的页岩脆性定量评价方法研究”(cstc2021jcyj-msxmX0984)
重庆科技学院科技创新基金项目“基于波形分类的多元地震属性储层定量预测技术在他拉哈地区的应用”(YKJCX2120101)资助。
关键词
地震波形分类技术
地震相
沉积相
沉积特征
葡萄花油层
Seismic waveform classification technology
Seismic facies
Sedimentary facies
Sedimentary characteristics
Grape flower oil layer
作者简介
张学娟(1979—),女,黑龙江大庆人,副教授,地震资料反演储层预测及地质建模。
