地震资料气水识别方法及其应用
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摘要
有效预测储层中流体的性质对油气勘探具有十分重要的意义。2008年之前研究了基于地震纵波勘探资料的泊松比气水预测方法,初步应用取得了一定效果,之后进一步完善了预测方法,又开展了广泛的应用研究,先后对川渝地区、苏里格地区多个构造的不同砂岩储层,以及川渝地区和国外的多个碳酸盐岩储层进行了预测,取得的认识和成果主要有:①储层测井泊松比在不同储层中具有稳定规律,对不同类型的储层具有一致性的判识模式,即含气储层泊松比低、含水储层泊松比较高,致密层或非储层泊松比更高;②所形成的预测方法能有效地识别气、气水及同含气水,预测结果符合率均较高,且分布规律与地质认识基本一致。以四川盆地为主的5个典型实例应用结果表明,该方法具有推广应用价值。
Accurate identification of fluids in reservoirs is of great significance to hydrocarbon exploration.Methods of identifying gas and water layers with Poisson's ratios based on P-waves were developed before 2008.Their preliminary results of application are satisfactory.After that,the innovative prediction methods and extensive application studies have been used to predict several sandstone reservoirs in Sichuan,Chongqing and Sulige areas as well as several carbonate reservoirs in Sichuan and Chongqing areas and even some areas in foreign countries.The following understandings are obtained.First,logging Poisson's ratios of reservoirs show stable patterns of variation in different reservoirs,i.e.the Poisson ratio of a gas layer is relatively low,while that of a water layer is relatively high,and that of tight reservoirs and/or non-reservoirs is even higher.Second,the prediction methods can effectively recognize layers with gas or water or both.The prediction results match well with the real data.Five typical case studies confirm their values of popularization and application.
Accurate identification of fluids in reservoirs is of great significance to hydrocarbon exploration.Methods of identifying gas and water layers with Poisson's ratios based on P-waves were developed before 2008.Their preliminary results of application are satisfactory.After that,the innovative prediction methods and extensive application studies have been used to predict several sandstone reservoirs in Sichuan,Chongqing and Sulige areas as well as several carbonate reservoirs in Sichuan and Chongqing areas and even some areas in foreign countries.The following understandings are obtained.First,logging Poisson's ratios of reservoirs show stable patterns of variation in different reservoirs,i.e.the Poisson ratio of a gas layer is relatively low,while that of a water layer is relatively high,and that of tight reservoirs and/or non-reservoirs is even higher.Second,the prediction methods can effectively recognize layers with gas or water or both.The prediction results match well with the real data.Five typical case studies confirm their values of popularization and application.
引文
[1]吴大奎,戴勇,郑淑芬,等.叠后地震资料气水识别研究与应用[J].天然气工业,2008,28(11):38-41.
[2]吴大奎,李亚林,伍志明,等.地震、测井资料联合反演的神经网络算法研究[J].天然气工业,2004,24(3):55-57.
[3]吴大奎.录井、测井、地震联合反演气水预测方法应用研究[R].成都:川庆钻探工程公司地质勘探开发研究院,2009.
[2]吴大奎,李亚林,伍志明,等.地震、测井资料联合反演的神经网络算法研究[J].天然气工业,2004,24(3):55-57.
[3]吴大奎.录井、测井、地震联合反演气水预测方法应用研究[R].成都:川庆钻探工程公司地质勘探开发研究院,2009.
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