论文部分内容阅读
地震属性分析是储层预测的重要手段,特别是对复杂油气藏的勘探。在地震资料精细构造解释的基础上,对BN44地区目的层提取地震属性并优选出对含油气敏感的属性,结合地震、地质资料分析了对含油气敏感的地震属性,预测出有利的含油气储层,最后应用神经网络法对储层的含油气进行定量预测。应用结果表明,优选出对油气响应敏感的地震属性对储层预测具有重要的指导意义。
Seismic attribute analysis is an important means of reservoir prediction, especially for the exploration of complex reservoirs. Based on the detailed structural interpretation of the seismic data, seismic attributes are extracted from the target layer in BN44 area and the attributes that are sensitive to oil and gas are extracted. Based on the seismic and geological data, the seismic attributes sensitive to oil and gas are analyzed, and the favorable oil and gas reservoir Finally, the neural network method is used to quantitatively predict the oil and gas in the reservoir. The application results show that selecting the seismic attributes that are sensitive to the oil-gas response has important guiding significance for reservoir prediction.