【摘要】 目前,人们主要从岩性、物性、电性、弹性阻抗等角度,对储层中气水的性质进行预测,然而成功率却并非很高.其实,从频率或能量响应的角度出发,或许能提高气水识别的成功率.由于频率是物质的固有属性,地震波经过含气或含水的储层后,在不同的频段将有不同的响应特征,但在原始地震剖面上却很不容易发现.利用基于ARMA模型时间序列分析方法和Prony信号分析理论的吸收滤波技术,结合测井、岩石物理、地质、地震等资料,分析含气储层和含水储层的不同吸收衰减特征和响应差异.由此可以实现气水性质的有效识别,最终达到直观、快捷的预测优质含气储层的目的.将该技术应用到气水裂缝理论模型的试算和川西坳陷深层须家河组气藏的含气性识别中,均获得了良好的应用效果.更多还原

【Abstract】 At present, the methodologies of distinguishing gas and water in reservoirs are mostly by the difference of lighology, physical character, electric character, elastic impedance and or so, but usually the successful rate is really low. In fact, in the view of frequency or energy, the successful rate can increase perhaps. Because frequency is the inherent attribute of substance, and there are different responses at different frequencies when the seismic wave propagates in the gassy reservoir and water reservoir. However, it is difficult to find them from the original seismic data. Applying the absorption filtering technology which is based on the ARMA analysis method and Prony’s signal analytical theory, and combine the information of well log, rock physics, geology, seismic and or so, we analyze the absorption characters of gas reservoir and water reservoir to discover the different responses of the gas reservoir and water reservoir. By this way, we can distinguish the gas and water in the reservoir, and achieve the aims to prospect the gas reservoir straightly and rapidly. By the technology, it has gotten the good result in test of model data and in practice of gassy detection on the Xujiahe Formation in the West Sichuan Depression.更多还原