井震联合窄小河道砂体预测方法研究
|
摘要
为了充分挖潜窄小河道砂体剩余油,以大庆油田北二西为例,在精细等时地层格架建立的基础上,用波形聚类、相干体、分频、属性分析等地震预测技术对窄小河道砂体预测适应性进行了分析。通过分析发现,不同技术对窄小河道砂体边界识别程度是不同的,波形聚类可以大致判断河流方向,对于窄小河道边界识别不明显;相干体对于窄小河道边界的识别好于波形聚类;分频可以清楚地看到窄小河道砂体边界细微变化。通过对RMS属性分析,建立了薄互层砂体预测厚度与砂体实际厚度的关系,并利用后验井进行了验证。对于厚度>2 m的砂体,预测精度高,对于厚度为1～2 m的砂体,在预测相对误差<35%时,预测精度可以达到60%,对于厚度<1 m的砂体,属性预测不可靠。
Seismic prediction technologies for narrow channel sand body are analyzed such as waveform clustering,coherence cube,frequency division and attribute analysis in order to produce remaining oil of narrow channel sand body,taking Beierxi area of Daqing oilfield as an example,on the basis of isochronous stratigraphic framework. It is found that different prediction technologies have different results to narrow channel sand bodies. Waveform clustering can approximately determine direction of narrow channel,but it can not distinguish narrow channel boundary obviously. Coherence cube is more superior than waveform clustering in narrow channel boundary recognition. Frequency division can clearly show narrow channel boundary subtle change. The relationship between the predicted sand body thickness and the actual sand body thickness is established through the analysis of RMS attribute,and it is verified that prediction accuracy of sand body is different. The prediction accuracy is high when sand body thickness is more than 2 m and the prediction accuracy can reach 60% on the condition that relative prediction error is less than 35% when thickness of sand body is between 12 m. The prediction accuracy of attribute is not reliable when thickness of sand body is less than 1 m. This prediction method has important significance in the production of remaining oil of narrow channel sand body.
Seismic prediction technologies for narrow channel sand body are analyzed such as waveform clustering,coherence cube,frequency division and attribute analysis in order to produce remaining oil of narrow channel sand body,taking Beierxi area of Daqing oilfield as an example,on the basis of isochronous stratigraphic framework. It is found that different prediction technologies have different results to narrow channel sand bodies. Waveform clustering can approximately determine direction of narrow channel,but it can not distinguish narrow channel boundary obviously. Coherence cube is more superior than waveform clustering in narrow channel boundary recognition. Frequency division can clearly show narrow channel boundary subtle change. The relationship between the predicted sand body thickness and the actual sand body thickness is established through the analysis of RMS attribute,and it is verified that prediction accuracy of sand body is different. The prediction accuracy is high when sand body thickness is more than 2 m and the prediction accuracy can reach 60% on the condition that relative prediction error is less than 35% when thickness of sand body is between 12 m. The prediction accuracy of attribute is not reliable when thickness of sand body is less than 1 m. This prediction method has important significance in the production of remaining oil of narrow channel sand body.
引文
[1]尹成,王治国,雷小兰,等.地震相约束的多属性储层预测方法研究[J].西南石油大学学报:自然科学版,2010,32(5):173–179.Yin Cheng,Wang Zhiguo,Lei Xiaolan,et al.Mul-ti–attributer reservoir prediction method under restraint of seismic facies[J].Journal of Southwest Petroleum U-niversity:Science&Technology Edition,2010,32(5):173–179.
[2]张洪波,王纬,顾汉明.高精度地震属性储层预测技术研究[J].天然气工业,2005,25(7):35–37.Zhang Hongbo,Wang Wei,Gu Hanming.High–accuracy seismic attribute reservoir predictiion technique[J].Natu-ral Gas Industry,2005,25(7):35–37.
[3]王娟,陈玉林,郭宝玺.三维可视化河道立体解释技术[J].石油地球物理勘探,2005,40(6):677–681.Wang Juan,Chen Yulin,Guo Baoxi.3–D visualization interpretation technique of channels[J].Oil Geophysical Prospecting,2005,40(6):677–681.
[4]刘伟方,于兴河,何琼英.地震属性在SU气田开发中的应用[J].天然气地球科学,2006,17(6):862–867.Liu Weifang,Yu Xinghe,He Qiongying.Application of seismic attributes in SU gas field development[J].Natural Gas Geoscience,2006,17(6):862–867.
[5]王长城,施泽进,张光荣,等.川东南嘉陵江组储层地质特征及储层预测研究[J].西南石油大学学报:自然科学版,2008,30(1):8–10.Wang Changcheng,Shi Zejin,Zhang Guangrong,et al.The geologic characteristics and reservoir prediction of Jialingjiang formation in the southeast area of Sichuan[J].Journal of Southwest Petroleum University:Science&Technology Edition,2008,30(1):8–10.
[6]罗忠辉,冷军.地震属性分析在潜江凹陷储层预测中的应用[J].石油天然气学报:江汉石油学院学报,2010,32(1):228–231.Luo Zhonghui,Leng Jun.Application of seismic at-tribute analysis of reservor prediction in Qianjiang De-pression[J].Journal of Oil and Gas Technology,2010,32(1):228–231.
[7]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 of attribute prediction result in seismic physical modeling[J].Petroleum Exploration and Development,2007,34(3):339–341.
[8]王鑫.地震属性技术在王73地区储层预测中的应用[J].石油物探,2007,46(3):272–277.Wang Xin.Application of seismic attribute techonolgy in predicting the reservoir in Wang73area[J].Geophysical Prospecting for Petroleum,2007,46(3):272–277.
[9]郎晓玲,彭仕宓,康红全,等.利用多属性体分类技术预测扇三角洲砂体[J].西南石油大学学报:自然科学版,2010,32(1):57–62.Lang Xiaoling,Peng Shimi,Kang Hongquan,et al.Pre-dict fan delta sand body by using multi–attributes vol-ume classification technology[J].Journal of Southwest Petroleum University:Science&Technology Edition,2010,32(1):57–62.
[10]邹新宁,孙卫,张盟勃,等.沼泽沉积环境的辫状河道特征及其识别方法[J].石油地球物理勘探,2005,40(4):438–443.Zou Xinning,Sun Wei,Zhang Mengbo,et al.Braided channel characters in palustrine environment and its i-dentifiedmethods[J].OilGeophysicalProspecting,2005,40(4):438–443.
[11]洪余刚,陈景山,成世琦,等.瞬时振幅相干法在储层预测中的应用[J].西南石油学院学报,2005,27(2):25–27.Hong Yugang,Chen Jingshan,Cheng Shiqi,et al.The application of instantaneous amplitude coherence analy-sismethodtoreservoirprediction[J].JournalofSouthwest Petroleum Institute,2005,27(2):25–27.
[12]孙辉,范国章,吕福亮,等.孟加拉湾缅甸若开盆地上新统斜坡水道复合体沉积特征[J].沉积学报,2011,29(4):695–702.Sun Hui,Fan Guozhang,LüFuliang,et al.Sedimentary characteristics of pliocene slope channel complexes in the Rakhinebasin,offshoreMyanmar[J].ActaSedimentolog-ica Sinica,2011,29(4):695–702.
[13]卢秀华.分频技术在曲流河储层预测中的应用[J].石油天然气学报,2011,33(3):76–80.Lu Xiuhua.Aplication of spectral decomposition technol-ogy in meandering reservoir prediction[J].Journal of Oil and Gas Techonolgy,2011,33(3):76–80.
[14]龚洪林,王振卿,蔡刚,等.分频解释技术在碳酸盐岩储层预测中应用[J].西南石油大学学报,2007,29(增刊1):5–8.Gong Honglin,Wang Zhenqing,Cai Gang,et al.Application of separate frequency interpretation technique in prediction of carbonate reservoir[J].Journal of Southwest Petroleum University,2007,29(S1):5–8.
[15]王永刚,谢东,乐友喜,等.地震属性分析技术在储层预测中的应用[J].石油大学学报:自然科学版,2003,27(3):30–32.Wang Yonggang,Xie Dong,Le Youxi,et al.Application of seismic attribute analysis technology in reservoir pre-diction[J].Journal of China University of Petorleum:Edi-tion of Natural Science,2003,27(3):30–32.
[16]王世瑞,王树平,狄帮让,等.基于地震属性特征的河道砂体预测方法[J].石油地球物理勘探,2009,44(3):304–313.Wang Shirui,Wang Shuping,Di Bangrang,et al.Prediction of channel sand body based on seismic attributes[J].Oil Geophysical Prospecting,2009,44(3):304–313.
[2]张洪波,王纬,顾汉明.高精度地震属性储层预测技术研究[J].天然气工业,2005,25(7):35–37.Zhang Hongbo,Wang Wei,Gu Hanming.High–accuracy seismic attribute reservoir predictiion technique[J].Natu-ral Gas Industry,2005,25(7):35–37.
[3]王娟,陈玉林,郭宝玺.三维可视化河道立体解释技术[J].石油地球物理勘探,2005,40(6):677–681.Wang Juan,Chen Yulin,Guo Baoxi.3–D visualization interpretation technique of channels[J].Oil Geophysical Prospecting,2005,40(6):677–681.
[4]刘伟方,于兴河,何琼英.地震属性在SU气田开发中的应用[J].天然气地球科学,2006,17(6):862–867.Liu Weifang,Yu Xinghe,He Qiongying.Application of seismic attributes in SU gas field development[J].Natural Gas Geoscience,2006,17(6):862–867.
[5]王长城,施泽进,张光荣,等.川东南嘉陵江组储层地质特征及储层预测研究[J].西南石油大学学报:自然科学版,2008,30(1):8–10.Wang Changcheng,Shi Zejin,Zhang Guangrong,et al.The geologic characteristics and reservoir prediction of Jialingjiang formation in the southeast area of Sichuan[J].Journal of Southwest Petroleum University:Science&Technology Edition,2008,30(1):8–10.
[6]罗忠辉,冷军.地震属性分析在潜江凹陷储层预测中的应用[J].石油天然气学报:江汉石油学院学报,2010,32(1):228–231.Luo Zhonghui,Leng Jun.Application of seismic at-tribute analysis of reservor prediction in Qianjiang De-pression[J].Journal of Oil and Gas Technology,2010,32(1):228–231.
[7]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 of attribute prediction result in seismic physical modeling[J].Petroleum Exploration and Development,2007,34(3):339–341.
[8]王鑫.地震属性技术在王73地区储层预测中的应用[J].石油物探,2007,46(3):272–277.Wang Xin.Application of seismic attribute techonolgy in predicting the reservoir in Wang73area[J].Geophysical Prospecting for Petroleum,2007,46(3):272–277.
[9]郎晓玲,彭仕宓,康红全,等.利用多属性体分类技术预测扇三角洲砂体[J].西南石油大学学报:自然科学版,2010,32(1):57–62.Lang Xiaoling,Peng Shimi,Kang Hongquan,et al.Pre-dict fan delta sand body by using multi–attributes vol-ume classification technology[J].Journal of Southwest Petroleum University:Science&Technology Edition,2010,32(1):57–62.
[10]邹新宁,孙卫,张盟勃,等.沼泽沉积环境的辫状河道特征及其识别方法[J].石油地球物理勘探,2005,40(4):438–443.Zou Xinning,Sun Wei,Zhang Mengbo,et al.Braided channel characters in palustrine environment and its i-dentifiedmethods[J].OilGeophysicalProspecting,2005,40(4):438–443.
[11]洪余刚,陈景山,成世琦,等.瞬时振幅相干法在储层预测中的应用[J].西南石油学院学报,2005,27(2):25–27.Hong Yugang,Chen Jingshan,Cheng Shiqi,et al.The application of instantaneous amplitude coherence analy-sismethodtoreservoirprediction[J].JournalofSouthwest Petroleum Institute,2005,27(2):25–27.
[12]孙辉,范国章,吕福亮,等.孟加拉湾缅甸若开盆地上新统斜坡水道复合体沉积特征[J].沉积学报,2011,29(4):695–702.Sun Hui,Fan Guozhang,LüFuliang,et al.Sedimentary characteristics of pliocene slope channel complexes in the Rakhinebasin,offshoreMyanmar[J].ActaSedimentolog-ica Sinica,2011,29(4):695–702.
[13]卢秀华.分频技术在曲流河储层预测中的应用[J].石油天然气学报,2011,33(3):76–80.Lu Xiuhua.Aplication of spectral decomposition technol-ogy in meandering reservoir prediction[J].Journal of Oil and Gas Techonolgy,2011,33(3):76–80.
[14]龚洪林,王振卿,蔡刚,等.分频解释技术在碳酸盐岩储层预测中应用[J].西南石油大学学报,2007,29(增刊1):5–8.Gong Honglin,Wang Zhenqing,Cai Gang,et al.Application of separate frequency interpretation technique in prediction of carbonate reservoir[J].Journal of Southwest Petroleum University,2007,29(S1):5–8.
[15]王永刚,谢东,乐友喜,等.地震属性分析技术在储层预测中的应用[J].石油大学学报:自然科学版,2003,27(3):30–32.Wang Yonggang,Xie Dong,Le Youxi,et al.Application of seismic attribute analysis technology in reservoir pre-diction[J].Journal of China University of Petorleum:Edi-tion of Natural Science,2003,27(3):30–32.
[16]王世瑞,王树平,狄帮让,等.基于地震属性特征的河道砂体预测方法[J].石油地球物理勘探,2009,44(3):304–313.Wang Shirui,Wang Shuping,Di Bangrang,et al.Prediction of channel sand body based on seismic attributes[J].Oil Geophysical Prospecting,2009,44(3):304–313.
版权所有：© 2023 中国地质图书馆 中国地质调查局地学文献中心