Sweet spot prediction for fine-grain sediment reservoirs in the Cangdong Sag
Li Yuetong1, Lu Zong-sheng1, Wu Zhendong2, Li Yuhai2, Li Bingling2, Wang Renkang2
1. School of Earth Sciences, China University of Geosciences(Wuhan), Wuhan, Hubei 430074, China; 2. Dagang Branch, GRI, BGP Inc, CNPC, Tianjin 300280, China
Abstract：Ek2 in the Cangdong Sag,a fine-grained tight and thin reservoir,is characterized by horizontally rapid change,complex lithology,and low resolution on seismic data,so it is very difficult to use conventional methods to predict it.Therefore we propose a stripping step-by-step strategy.First seismic response characteristics of different sweet spot segments are classified by single-well rock-electrical characteristics and forward modeling.Amplitude and frequency characteristics of the different lithofacies are analyzed on well-seismic data.And litho-logy prediction is carried out with amplitude and frequency attribute fusion.Then sweet spots are predicted with the sensitive signature log inversion.This approach is applied to Ek2 in the Cangdong Sag; the sweet spot distribution is successful achieved.The total area of predicted sweet spots in Xiaoji,Guanxi low slope and Kongxi low slope is 185km2.The increased drilling success rate after our prediction proves that the proposed approach is effective and practical.
李岳桐, 卢宗盛, 吴振东, 李玉海, 李冰玲, 王仁康. 沧东凹陷孔二段细粒沉积岩致密油甜点预测[J]. 石油地球物理勘探, 2018, 53(5): 1059-1066.
Li Yuetong, Lu Zong-sheng, Wu Zhendong, Li Yuhai, Li Bingling, Wang Renkang. Sweet spot prediction for fine-grain sediment reservoirs in the Cangdong Sag. Oil Geophysical Prospecting, 2018, 53(5): 1059-1066.
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