地震数据体结构特征时空关系与油气预测
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摘要
利用地震数据体结构特征的时空变化进行储集层预测是近年来新出现的一项油气预测新技术。地震数据体结构特征是指地震数据体中每一地震道振幅离散数据点按时间顺序排列所显示的波形特征。根据地震数据体结构时空关系特征,可以在地震剖面上定量解释出油气层,发现油气分布规律,进一步提高储集层预测精度。通过对克拉2气田的克拉2井和普光气田的普光5井两口井发现的主力气层的地震振幅时空关系的研究,能很好地识别出气层边界,为储量评估提供有力依据。本研究方法对于不同岩石类型、不同沉积相(海相、海陆过渡相和陆相)油气区,深度范围200~7 000 m、厚度5 m以上的目的层都具有很好的适用性,预测准确率平均可达80%以上。图10表2参11
There has been a new hydrocarbon prediction technology to use the space-time relationship of seismic data structure characteristics for reservoir prediction.The seismic data structure characteristics refer to the wave characteristics shown in the discrete amplitude data points of each seismic trace arranged by the order of time.Based on the space-time relationship of seismic data structure characteristics,we can interpret the oil and gas layers quantitatively and find the oil-gas distribution rules on the seismic profile,so as to further improve the precision of reservoir prediction.Through the study on the space-time relationship of seismic amplitude for the main gas layers found in Well Kela-2 in Kela-2 Gasfield and Well Puguang-5 in Puguang Gasfield,the gas-layer boundary can be identified clearly,providing a strong basis for reserves estimation.This research method applies well to the target layers with depth of 200-7 000 m and thickness of over 5 m,in the oil-gas provinces of various lithologies and sedimentary facies(marine,paralic and continental facies).The prediction accuracy can reach over 80% on average.
There has been a new hydrocarbon prediction technology to use the space-time relationship of seismic data structure characteristics for reservoir prediction.The seismic data structure characteristics refer to the wave characteristics shown in the discrete amplitude data points of each seismic trace arranged by the order of time.Based on the space-time relationship of seismic data structure characteristics,we can interpret the oil and gas layers quantitatively and find the oil-gas distribution rules on the seismic profile,so as to further improve the precision of reservoir prediction.Through the study on the space-time relationship of seismic amplitude for the main gas layers found in Well Kela-2 in Kela-2 Gasfield and Well Puguang-5 in Puguang Gasfield,the gas-layer boundary can be identified clearly,providing a strong basis for reserves estimation.This research method applies well to the target layers with depth of 200-7 000 m and thickness of over 5 m,in the oil-gas provinces of various lithologies and sedimentary facies(marine,paralic and continental facies).The prediction accuracy can reach over 80% on average.
引文
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[11]孟伟.地震结构灰色关联在塔河油田4区奥陶系储层预测中的应用[J].新疆地质,2004,22(3):300-303.Meng Wei.Study of Ordovician reservoir and the response ofstructural feature of seismic data in block 4 of Tahe Oilfield[J].Xinjiang Geology,2004,22(3):300-303.
[2]张寒,朱光有.利用地震和测井信息预测和评价烃源岩——以渤海湾盆地富油凹陷为例[J].石油勘探与开发,2007,34(1):55-59.Zhang Han,Zhu Guangyou.Using seismic and log information topredict and evaluate hydrocarbon source rocks:An example fromrich oil depressions in Bohai Bay[J].Petroleum Exploration andDevelopment,2007,34(1):55-59.
[3]季敏,王尚旭,李生杰,等.物理模型的地震属性预测效果分析[J].石油勘探与开发,2007,34(3):339-341.Ji Min,Wang Shangxu,Li Shengjie,et al.An analysis ofattribute prediction result in seismic physical modeling[J].Petroleum Exploration and Development,2007,34(3):339-341.
[4]Lin Changrong,Wang Shangxu,Zhang Yong.Predicting thedistribution of reservoirs by applying the method of seismic datastructure characteristics:Example from the eighth zone in TaheOilfield[J].Applied Geophysics,2006,3(4):234-242.
[5]Lin Changrong.Application of Grey System Theory to gas poolprediction of 3D seismic data prior to drilling[A].SPE 54274,1999.
[6]Wang Shangxu,Lin Changrong.The analysis of seismic datastructure and oil and gas prediction[J].Applied Geophysics,2004,1(2):75-82.
[7]刘雯林.油气田开发地震技术[M].北京:石油工业出版社,1996.Liu Wenlin.Application of seismic technique on the developmentof oil-gas fields[M].Beijing:Petroleum Industry Press,1996.
[8]Brown A R.三维地震资料解释[M].张孚善(译).北京:石油工业出版社,1996.Brown A R.3D seismic data interpretation[M].Zhang Fushan(Trans.).Beijing:Petroleum Industry Press,1996.
[9]林昌荣,孙立春,崇仁杰.地震数据结构特征与油气预测[J].中国海上油气(地质),2000,14(6):417-421.Lin Changrong,Sun Lichun,Chong Renjie.Numerical structureof seismic data and hydrocarbon prediction[J].China Offshore Oiland Gas(Geology),2000,14(6):417-421.
[10]刘思峰,徐忠详.灰色系统研究新进展[C].武汉:华中理工大学出版社,1996.Liu Sifeng,Xu Zhongxiang.New development of grey systemresearch[C].Wuhan:HUST Press,1996.
[11]孟伟.地震结构灰色关联在塔河油田4区奥陶系储层预测中的应用[J].新疆地质,2004,22(3):300-303.Meng Wei.Study of Ordovician reservoir and the response ofstructural feature of seismic data in block 4 of Tahe Oilfield[J].Xinjiang Geology,2004,22(3):300-303.
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