地震相技术在煤层气勘探中的应用
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摘要
在分析了采用地震相技术预测煤层气含量可行性的基础上,首先利用无监督向量量化网络对研究区地震资料进行了地震波形划分,然后在钻孔实测煤层气含量值的指导下,依赖地震波形特征反演与煤层气含量有关综合特征,完成了使用地震相分布图对勘探区煤层气含量的预测。预测结果与实测值相符,具有较高的预测分辨率,从而证明了该方法的有效性和实用性。
This paper analyzed the feasibility of applying seismic facies technology to forecasting coal-bed methane content.The authors first made seismic wave division in the study area by using unsupervised vector quantization network,and then completed coal-bed methane content prediction in the exploration area based on seismic facies under the guidance of the measured coal-bed methane values in drill holes and according to seismic wave characteristics.The results are consistent with the measured values and have relatively high prediction of resolution,suggesting that the application of seismic facies technology is an effective approach to predicting coal-bed methane content.
This paper analyzed the feasibility of applying seismic facies technology to forecasting coal-bed methane content.The authors first made seismic wave division in the study area by using unsupervised vector quantization network,and then completed coal-bed methane content prediction in the exploration area based on seismic facies under the guidance of the measured coal-bed methane values in drill holes and according to seismic wave characteristics.The results are consistent with the measured values and have relatively high prediction of resolution,suggesting that the application of seismic facies technology is an effective approach to predicting coal-bed methane content.
引文
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[2]李辛子.煤层气地物物理技术研究综述[R].北京:中国石油化工股份有限公司石油勘探开发研究院,2008.
[3]叶建平.中国煤层气勘探开发技术研究[M].北京:石油工业出版社,2007.
[4]温书亮.地震多属性聚类分析技术及其在渤海某区块油气预测中的应用[J].天然气工业,2007,27(增刊A):374-378.
[5]朱剑兵.地震相划分方法研究新进展[J].油气地球物理,2008,6(3):6-9.
[6]Thierry M K.Unsupervised seismic facies classification:A review and comparison of techniques and implementation[J].The Leading Enge,2003,10:942-953.
[7]Victor L,Marcelo S,Carlos P,et al.Seismic facies analysis based on3D multiattribute volume classification,La Palma Field,Mara-caibo,Venezuela[J].The Leading Edge,2003,1:32-36.
[8]朱剑兵,赵培坤.国外地震相划分技术研究新进展[J].勘探地球物理进展.2009,6:167-169.
[9]印兴耀,韩文功,李振春等.地震技术新进展(下)[M].东营:中国石油大学出版社,2006.
[10]王龙军.基于三维地震的地震相分析技术研究[D].西安:西安科技大学,2008.
[11]Widyanto R M,NobuharaH.Improving Recognition and Generaliza-tion Capability of BackPropagation NN Using a Self-Organized Net-work Inspired by Immune Algorithm[J].Appplied Soft Computing.2005(3):72-84.
[12]张明学,刘淑芬.乌尔逊凹陷南部大磨拐河组地震相[J].物探与化探,2009,33(6):638-641.
[13]朱强,阎建国,程谦,等.基于多属性数据体的三维地震相体分析技术[J].物探化探计算技术,2010,32(1):72-78.
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