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利用地震振幅信息进行油气检测一直是地球物理工作者研究的热点,其中AVO技术由于其较高的成功率一直为勘探工作者所推崇。但AVO属性也包含了许多不确定性,即多种岩石可以引起任何类型的AVO响应。贝叶斯估计的叠前反演技术可以定量评价AVO属性的可靠性。它以已知井的测井曲线和AVO属性为输入条件,最后可得到目标区油、气、水的平面概率分布图,以此来减少AVO属性的不确定性。该技术在平湖油气田中山亭构造得到了成功的应用,检测结果与平湖9井吻合,根据叠前反演结果优选了平湖10井,该井主要目的层P8层钻遇油气层9.8m/2层,与预测效果相符。
Oil and gas detection using seismic amplitude information has always been a hot research topic of geophysical workers. Among them, AVO technology has been highly praised by exploration workers due to its high success rate. However, the AVO property also contains a number of uncertainties that a wide variety of rocks can cause any type of AVO response. The Bayesian estimation of prestack inversion technique can quantitatively evaluate the reliability of AVO properties. It takes the known well log and AVO attributes as input conditions and finally obtains the plane probability distribution of oil, gas and water in the target zone to reduce the uncertainty of AVO attributes. The technology has been successfully applied in the construction of the Zhongting Pavilion in Pinghu oil and gas field. The test results are in agreement with those of Pinghu 9 well. Based on the prestack inversion results, Pinghu 10 well is selected. The P8 layer drills the layer of 9.8m / 2 , In line with the prediction effect.