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绕射波分离成像技术在塔河油田碳酸盐岩地震弱反射储层预测中的应用

Application of diffraction wave separation and imaging technique in weak seismic reflection of carbonate reservoir prediction in Tahe Oilfield

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【作者】 陈明政邓光校朱生旺杨子川

【Author】 Cheng Mingzheng;Deng Guangxiao;Zhu Shengwang;Yang Zichuan;Sinopec Northwest Company;Sinopec Exploration & Production Research Institute;

【机构】 中国石油化工股份有限公司西北油田分公司中国石油化工股份有限公司石油勘探开发研究院

【摘要】 塔河油田奥陶系碳酸盐岩岩溶缝洞型油藏的主体开发区已进入挖潜阶段,前期对于强"串珠状"异常反射的大尺度缝洞储集体开发动用程度高,而呈"非典型"地震弱异常反射的小尺度缝洞储集体还处于开发初期,提高这类储集体的精细预测与识别精度,是进一步提高塔河油田储量动用率的关键所在。通过应用局部倾角滤波与预测反演联合的绕射波分离技术,从地震记录中将绕射波分离出来并单独成像,然后再与常规叠前时间偏移地震数据体进行融合处理,以突出小尺度缝洞储集体的"非典型"地震弱反射异常。实际应用效果表明,通过绕射波分离成像与融合处理的方法有效地提高了前期较难识别的"非典型"弱反射异常体的识别与刻画能力。

【Abstract】 The main reservoir type is the Ordovician carbonate Karst fracture-cave reservoir in Tahe Oilfield,which has entered potential tapping period.The producing degree of large-scale fracture-cave reservoir with strong "bead"anomalous reflection is high,while the small-scale reservoirs with"atypical"weak seismic reflection anomalies is at the initial stage of production,so enhancing the precision of fine reservoir characterization and identification is the key to increase the producing rate of reserves in Tahe Oilfield.Therefore,we utilized the diffraction wave separation technique(combining local dip filtering with prediction inversion)to separate diffraction wave from seismic data and image it separately;then,the result was carried out fusion processing with conventional PSTM seismic data volume to highlight the"atypical"weak seismic reflection anomalies.The actual application indicates that the diffraction wave separation imaging and fusion processing method effectively improve the capability for characterizing and identifying the "atypical"weak seismic reflection anomalies which is hard to be recognized previously.

【基金】 国家重点基础研究发展计划(973计划)课题“碳酸盐岩缝洞型油藏缝洞单元地球物理表征研究”(2011CB201002);国家科技重大专项课题“缝洞储集体识别与描述技术研究”(2011ZX05014-001)和“塔里木海相碳酸盐岩优质储层地球物理预测技术及应用项目”(2011ZX05005-002-001-004)联合资助
  • 【文献出处】 石油物探 ,Geophysical Prospecting for Petroleum , 编辑部邮箱 ,2015年02期
  • 【分类号】P631.4;P618.13
  • 【被引频次】6
  • 【下载频次】187
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