调谐能量增强法在石南21井区薄储集层识别中的应用
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摘要
调谐能量增强法是在叠后地震资料的基础上,根据地震层序模型,利用薄层调谐理论,通过脉冲约束的自适应增强手段突出薄层反射能量、提高地震对薄层识别能力的一种新方法。时频分析是该技术的有效工具,一方面用于分析薄层频带位置和韵律特征,另一方面可判断分辨率改善的地质效果。调谐能量增强法突破了传统地震分辨率的限制,可有针对性地用于识别厚度较小的薄层。在石南21井区应用调谐能量增强法,获得了同时提高信噪比和分辨率的效果,增强了对该区薄储集层的识别和描述能力。通过对调谐能量增强处理前后正演模拟、层位标定、地震反演、谱分解等技术预测储集层结果的对比,证实了该技术是一项针对薄储集层识别的有效工具。图8参11
Tuning-energy-enhanced method(TEEM) is a new way to improve seismic imaging ability,which enlarges reflection energy of thin beds through pulse-constrained self-fitting enhancement according to seismic sequence model and thin bed tuning theory and on the basis of post-stack seismic data.Time-frequency analysis is an effective tool for TEEM.On the one hand,it can be used to analyze frequency distribution and sedimentary rhythm. On the other hand it can estimate the geological effect of seismic resolution improving.TEEM breakthroughs the limitation of traditional seismic resolution,and can be used to recognize very thin beds.In the Shinan 21 block,TEEM was used,and S/N ratio and resolution were improved simultaneously and thin bed recognition and characterization ability was improved correspondingly.According to the comparing results of modeling,calibrating,inversion,spectral-decomposition,it's proved that TEEM is an effective tool for thin bed identification.
Tuning-energy-enhanced method(TEEM) is a new way to improve seismic imaging ability,which enlarges reflection energy of thin beds through pulse-constrained self-fitting enhancement according to seismic sequence model and thin bed tuning theory and on the basis of post-stack seismic data.Time-frequency analysis is an effective tool for TEEM.On the one hand,it can be used to analyze frequency distribution and sedimentary rhythm. On the other hand it can estimate the geological effect of seismic resolution improving.TEEM breakthroughs the limitation of traditional seismic resolution,and can be used to recognize very thin beds.In the Shinan 21 block,TEEM was used,and S/N ratio and resolution were improved simultaneously and thin bed recognition and characterization ability was improved correspondingly.According to the comparing results of modeling,calibrating,inversion,spectral-decomposition,it's proved that TEEM is an effective tool for thin bed identification.
引文
[1]周锦明,熊翥.地震数据精细处理[M].北京:石油工业出版社,2003.
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[10]甘利灯.非常规储集层地震横向预测的一种方法[J].石油勘探与开发,2000,27(2):65-69.
[11]张研,张颖,孙夕平,等.地震储集层预测技术在不同勘探开发阶段的应用[J].石油勘探与开发,2006,33(1):59-63.
[2]ZHOU Jin-ming,XIONG Zhu.Seismic data precise processing[M].Beijing:Petroleum Industry Press,2003.
[3]Countiss M L.Frequency-enhanced imaging of stratigraphicallycomplex,thin-bed reservoirs:A case study from South MarshIsland Block 128 Field[J].The Leading Edge,2002,21(9):826-836.
[4]朱剑兵,纪友亮,赵培坤,等.小波变换在层序地层单元自动划分中的应用[J].石油勘探与开发,2005,32(1):84-86.
[5]Mulholland J W.Sequence stratigraphy:Basic elements,concepts,and terminology[J].The Leading Edge,1998,17(1):37-42.
[6]Mullholland J W.Sequence architecture[J].The Leading Edge,1998,17(6):767-771.
[7]张研,徐凌,陈立康.前陆冲断带复杂构造地震成像技术对策[J].石油勘探与开发,2005,32(5):62-64.
[8]何又雄,姚姚.基于参考道的岩性识别与岩性剖面非线性反演[J].石油勘探与开发,2005,32(3):61-63.
[9]姚逢昌,甘利灯.地震反演的应用与限制[J].石油勘探与开发,2000,27(2):53-57.
[10]甘利灯.非常规储集层地震横向预测的一种方法[J].石油勘探与开发,2000,27(2):65-69.
[11]张研,张颖,孙夕平,等.地震储集层预测技术在不同勘探开发阶段的应用[J].石油勘探与开发,2006,33(1):59-63.
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