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少井背景下基于稀疏层反射系数反演的薄层预测
引用本文:杜昕,范廷恩,范洪军,张显文,张晶玉,蔡文涛. 少井背景下基于稀疏层反射系数反演的薄层预测[J]. 石油地球物理勘探, 2021, 56(2): 356-363. DOI: 10.13810/j.cnki.issn.1000-7210.2021.02.018
作者姓名:杜昕  范廷恩  范洪军  张显文  张晶玉  蔡文涛
作者单位:1. 中海油研究总院有限责任公司, 北京 100020;2. 海洋石油高效开发国家重点实验室, 北京 100020
摘    要:稀疏脉冲反褶积的本质是恢复厚层顶、底反射界面位置,为适合厚层预测的拓频方法,并不适合以研究地震调谐效应为主要内容的薄互层预测.为此,在研究区只有一口定向开发井的背景下,提出一种少井背景下的薄储层预测技术,主要步骤为:①基于稀疏层反射系数反演对叠前偏移数据拓频,突破地震有效频带限制.②将拓频成果分频为地震低频体和高频体,...

关 键 词:薄层预测  少井背景  稀疏层反射系数反演  地震沉积学  分频处理  薄储层有利区叠合频数
收稿时间:2020-08-06

Prediction of thin reservoirs with less well data based on sparse-layer reflectivity inversion
DU Xin,FAN Ting'en,FAN Hongjun,ZHANG Xianwen,ZHANG Jingyu,CAI Wentao. Prediction of thin reservoirs with less well data based on sparse-layer reflectivity inversion[J]. Oil Geophysical Prospecting, 2021, 56(2): 356-363. DOI: 10.13810/j.cnki.issn.1000-7210.2021.02.018
Authors:DU Xin  FAN Ting'en  FAN Hongjun  ZHANG Xianwen  ZHANG Jingyu  CAI Wentao
Affiliation:1. CNOOC Research Institute Ltd., Beijing 100020, China;2. State Key Laboratory of Offshore Oil Exploitation, Beijing 100020, China
Abstract:Sparse spike inversion aims at restoring the top and bottom of a thicker reservoir. It is less effective for interpreting thin reservoirs by focusing on seismic tuning effect. To predict the reservoir in the study area with only a well, we propose a method for predicting the thin reservoirs. The procedures include:①Enhance the effective frequency of PSTM data based on sparse-layer reflectivity inversion; ②Split the wide frequency band data into low-frequency and high-frequency components through frequency division processing. Track the primary sequence stratigraphic framework on the low-frequency data and make stratal slices. Use the 90° phase shift method to convert the high-frequency data to lithology estimation, and extract the seismic attributes on the stratigraphic framework.③ On the histogram of the attributes, use integral operation to convert the seismic attributes to a ‘best reservoir probability estimation.④Sum up the ‘best reservoir probability estimation’ in each stratigraphic unit and establish a ‘cumulative frequency of favorable thin reservoir area estimation’. This attribute characterizes the spatial overlap of thin reservoirs, and can be used to guide design and location of wells for exploring the thin reservoirs.
Keywords:prediction of thin reservoir  less well data  sparse-layer reflectivity inversion  seismic sedimentology  frequency division processing  cumulative frequency of favorable thin reservoir area  
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