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气烟囱对油气运移通道和运移模式具有一定的指示作用,而利用原始地震数据或单一地震属性对气烟囱进行解释存在严重的多解性.本文采用基于有监督人工神经网络的多属性模式识别技术对三维地震数据进行气烟囱体检测,并将其应用于渤海辽东湾郯庐断裂带某工区,以摸清油气运移机制和成藏模式,达到预测油气有利分布范围的目的.结果表明,气烟囱体能够更清楚、直观地指示油气沿断裂运移的通道,气烟囱发育部位与浅层气的分布比较一致.研究区内深大走滑断裂是沟通深层烃源岩的主要通道,是油气平面分布的主要控制因素.断裂后期活动形成的次级雁列断层对油气具有调节作用,使得部分油气在浅层新近系储层中聚集成藏,断裂活动性大小的不同决定了油气再次调节作用的大小,从而控制油气富集层位的差异性.气烟囱检测结果与该区钻井揭示的油气富集规律基本一致,从而证明了该方法的有效性和实用性.
The gas chimney has some indication to hydrocarbon migration channel and migration mode, but there is a serious multi-solution to the interpretation of gas chimney by using original seismic data or single seismic attribute.In this paper, based on the multi-attribute model with supervised artificial neural network Identification technology to detect the gas chimney body in 3D seismic data and apply it to a certain work area in the Tanlu fault zone of Liaodong Bay in the Bohai Sea to find out the hydrocarbon migration mechanism and reservoir forming pattern and achieve the purpose of predicting the favorable distribution range of oil and gas.The results show that , The gas chimney body can more clearly and intuitively indicate the channel along which oil and gas migrate along the fault and the gas chimney development site is more consistent with the shallow gas distribution.The deep strike-slip fault in the study area is the main channel for the communication of deep source rock, Is the main controlling factor of oil-gas distribution.Secondary goose-faulting faults formed in the later stage of fault play an adjusting role on oil and gas, making some oil and gas accumulate and accumulate in the shallow Neogene reservoirs, and the difference of fault activity determines the oil and gas again Adjust the size of the role, so as to control the difference of oil and gas enrichment horizons.Inspecting results of gas chimneys and hydrocarbon enrichment Law is consistent, which proves the effectiveness and practicality of the method.