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.
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.
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. Oil Geophysical Prospecting, 2021, 56(2): 356-363.
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