基于地震叠后反演与属性分析的页岩气有利储层预测

    Prediction of favorable reservoir for shale gas based on seismic post-stack inversion and attribute analysis

    • 摘要: 中国南方页岩气勘查区块多为勘探新区,仅部署少量二维地震和地质钻井,且资料品质普遍较差,页岩气储层预测很难像成熟勘探区一样开展系统性研究工作,如何对现有数据进行充分挖掘是解决勘探新区页岩气储层预测的关键。为此,综合利用不依赖初始模型的叠后约束稀疏脉冲反演方法和多种频率类属性分析技术,开展页岩气有利储层预测。地震反演能够获得多种参数参与储层预测,属性分析能够从多种角度识别储层,通过多种信息综合应用和叠合分析以提高储层预测精确性和有效性,为新区页岩气勘探提供了一种新的思路。该项技术应用于南方某区块,圈定了页岩气的有利目标区,在该区部署的两口水平井均获得高产工业气流。

       

      Abstract: Most shale gas exploration blocks in South China are new exploration areas, only a small number of 2D seismic and geological drilling are deployed there, and the data quality is generally poor.Therefore, it is difficult to carry out systematic research on shale gas reservoir prediction like mature exploration areas.How to fully use the only data is the key to predicting the shale gas reservoir in the new exploration area.The post stack constrained sparse pulse inversion method independent of the initial model and a variety of frequency attribute analysis techniques were used to predict favorable shale gas reservoir.Seismic inversion can make full use of a variety of information parameters to participate in reservoir prediction, and attribute analysis can identify reservoirs from multiple angles.In addition, comprehensive application of multiple information and superposition analysis can improve the accuracy and effectiveness of reservoir prediction, which provides a new idea for shale gas exploration in new exploration area.The technology was applied to a block in South China, and the favorable target of shale gas was delineated.The two horizontal wells deployed in the area obtained high-yield industrial gas flow.

       

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