AVO分析方法是利用地震反射波振幅与炮检距的关系（Amplitude versus Offset简称AVO）来识别岩性检测油气的一种地震技术。与榆林气田相似，在子洲气田勘探中，运用该技术见到很好效果。子洲气田上古生界二叠系山西组合气砂岩主要属三...AVO分析方法是利用地震反射波振幅与炮检距的关系（Amplitude versus Offset简称AVO）来识别岩性检测油气的一种地震技术。与榆林气田相似，在子洲气田勘探中，运用该技术见到很好效果。子洲气田上古生界二叠系山西组合气砂岩主要属三角洲平原及三角洲前缘分流河道沉积。由于含气砂岩和致密砂岩在波阻抗上差异较小．在常规的岩性反演剖面上，很难区分含气砂岩和致密砂岩。引入AVO处理分析方法，利用不同岩性泊松比差异所形成的AVO特征响应．可以有效区分地震高阻抗层的岩性及含气性，从而减少了地震岩性解释上的陷阱。在开发中。应用高保真的CMP道集资料进行AVO处理分析，是提高天然气开发井预测成功率的一种有效手段。展开更多
Existing seismic prediction methods struggle to effectively discriminate between fluids in tight gas reservoirs,such as those in the Sulige gas field in the Ordos Basin,where porosity and permeability are extremely lo...Existing seismic prediction methods struggle to effectively discriminate between fluids in tight gas reservoirs,such as those in the Sulige gas field in the Ordos Basin,where porosity and permeability are extremely low and the relationship between gas and water is complicated.In this paper,we have proposed a comprehensive seismic fluid identification method that combines ray-path elastic impedance(REI)inversion with fluid substitution for tight reservoirs.This approach is grounded in geophysical theory,forward modeling,and real data applications.We used geophysics experiments in tight gas reservoirs to determine that Brie's model is better suited to calculate the elastic parameters of mixed fluids than the conventional Wood’s model.This yielded a more reasonable and accurate fluid substitution model for tight gas reservoirs.We developed a forward model and carried out inversion of REI.which reduced the non-uniqueness problem that has plagued elastic impedance inversion in the angle domain.Our well logging forward model in the ray-path domain with different fluid saturations based on a fluid substitution model proved that REI identifies fluids more accurately when the ray parameters are large.The distribution of gas saturation can be distinguished from the crossplot of REI(p=0.10)and porosity.The inverted ray-path elastic impedance profile was further used to predict the porosity and gas saturation profile.Our new method achieved good results in the application of 2D seismic data in the western Sulige gas field.展开更多
文摘AVO分析方法是利用地震反射波振幅与炮检距的关系（Amplitude versus Offset简称AVO）来识别岩性检测油气的一种地震技术。与榆林气田相似，在子洲气田勘探中，运用该技术见到很好效果。子洲气田上古生界二叠系山西组合气砂岩主要属三角洲平原及三角洲前缘分流河道沉积。由于含气砂岩和致密砂岩在波阻抗上差异较小．在常规的岩性反演剖面上，很难区分含气砂岩和致密砂岩。引入AVO处理分析方法，利用不同岩性泊松比差异所形成的AVO特征响应．可以有效区分地震高阻抗层的岩性及含气性，从而减少了地震岩性解释上的陷阱。在开发中。应用高保真的CMP道集资料进行AVO处理分析，是提高天然气开发井预测成功率的一种有效手段。
基金supported by the National Science and Technology Major Project(No.2016ZX05050 and 2017ZX05069)CNPC Major Technology Special Project(No.2016E-0503)
文摘Existing seismic prediction methods struggle to effectively discriminate between fluids in tight gas reservoirs,such as those in the Sulige gas field in the Ordos Basin,where porosity and permeability are extremely low and the relationship between gas and water is complicated.In this paper,we have proposed a comprehensive seismic fluid identification method that combines ray-path elastic impedance(REI)inversion with fluid substitution for tight reservoirs.This approach is grounded in geophysical theory,forward modeling,and real data applications.We used geophysics experiments in tight gas reservoirs to determine that Brie's model is better suited to calculate the elastic parameters of mixed fluids than the conventional Wood’s model.This yielded a more reasonable and accurate fluid substitution model for tight gas reservoirs.We developed a forward model and carried out inversion of REI.which reduced the non-uniqueness problem that has plagued elastic impedance inversion in the angle domain.Our well logging forward model in the ray-path domain with different fluid saturations based on a fluid substitution model proved that REI identifies fluids more accurately when the ray parameters are large.The distribution of gas saturation can be distinguished from the crossplot of REI(p=0.10)and porosity.The inverted ray-path elastic impedance profile was further used to predict the porosity and gas saturation profile.Our new method achieved good results in the application of 2D seismic data in the western Sulige gas field.
