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“亮点”是一项有效的地震油气检测技术,是利用地层充气后,引起波阻抗变化,在地震剖面上产生明显的振幅异常,且伴有平点、暗点、波的干扰和绕射、极性反转、同向轴下拉、能量屏蔽、吸收系数增加等现象。本文主要通过“神经网络”、“AVO”、“振幅量化”“频谱能量吸收”、“弹性能与塑性能技术”等方面进行“亮点”含气性的的判别,为提高气井钻探率打下基础。
“Bright spot ” is an effective seismic oil and gas detection technology, which is caused by the change of wave impedance after the formation is aerated, and produces obvious amplitude anomaly on the seismic section with the interference of flat spots, dark spots and waves and Shooting, polarity reversal, co-axial pull-down, energy shielding, absorption coefficient increases and so on. In this paper, we focus on the “bright spot” gas content of the “neural network”, “AVO”, “amplitude quantization” “spectral energy absorption”, “elastic energy and plastic performance technology” Sexual discrimination, to improve gas drilling rate and lay the foundation.