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基于高分辨率波形指示反演方法在“甜点”预测中的应用:以四川盆地焦石坝地区页岩储层为例
引用本文:郭鹏,苑益军,刘喜武,张远银,吴学敏,李鸿. 基于高分辨率波形指示反演方法在“甜点”预测中的应用:以四川盆地焦石坝地区页岩储层为例[J]. 现代地质, 2018, 32(2): 406
作者姓名:郭鹏  苑益军  刘喜武  张远银  吴学敏  李鸿
作者单位:(1中国地质大学(北京) 地球物理与信息技术学院,北京100083;2中国电建集团北京勘测设计研究院有限公司 物探测试中心,北京100024;3中国石化 石油勘探开发研究院,北京100083;4中国石化 页岩油气勘探开发重点实验室,北京100083;5国家能源页岩油研发中心,北京100083;6广州海洋地质调查局,广东 广州510075;7天津市市政工程设计研究总院,天津300392)
基金项目:国家重点基础研究计划项目“陆相页岩油富集要素与有利区预测”(2014CB239104)。
摘    要:针对常规叠后稀疏脉冲反演方法分辨率不足,以及传统叠后地质统计学反演方法缺乏横向地质意义的局限,应用基于高分辨率波形指示反演方法刻画了四川盆地焦石坝地区龙马溪组页岩薄储层段波阻抗剖面展布及其优质页岩储层段时间域厚度平面展布情况。通过对焦石坝地区龙马溪组页岩薄储层段波阻抗剖面展布进行“盲井”检测,与常规叠后稀疏脉冲反演方法的刻画精度相比,高分辨率波形指示反演方法计算结果的刻画精度提高了一倍。进一步应用高分辨率波形指示反演方法模拟了焦石坝地区龙马溪组页岩薄储层段有机碳含量(TOC)剖面展布,为后期页岩储层精细评价以及“甜点”预测奠定了基础。

关 键 词:高分辨率  储层预测  波阻抗  有机碳含量  

Inversion Method Based on High-resolution Waveform and Its Application on Predicting Sweet Spots:An Example from Shale Gas Reservoirs in Jiaoshiba Area of Sichuan Basin
GUO Peng,YUAN Yijun,LIU Xiwu,ZHANG Yuanyin. Inversion Method Based on High-resolution Waveform and Its Application on Predicting Sweet Spots:An Example from Shale Gas Reservoirs in Jiaoshiba Area of Sichuan Basin[J]. Geoscience of Geosciences, 2018, 32(2): 406
Authors:GUO Peng  YUAN Yijun  LIU Xiwu  ZHANG Yuanyin
Abstract:The resolution of the conventional post stack sparse pulse inversion method is low, and the traditional geostatistical inversion method also lacks the lateral geological significance. For these limitations, this paper proposed an inversion method based on high resolution waveforms. This inversion method was employed to portray the distribution profile of wave impedance of the thin shale reservoir on Longmaxi Formation in Jiaoshiba area of Sichuan Basin, and to describe the plane distribution profile of thickness of high quality shale reservoirs in time domain. In the performance for random well detection on the distribution profile of wave impedance in target reservoirs, the accuracy of this method had doubled comparing with the conventional post stack sparse pulse inversion method. This inversion method was further applied to simulate the distribution profile of TOC in the target reservoir, and the results laid a foundation for the later ‘sweet spots’ evaluation and fine evaluation of shale reservoirs.
Keywords:high resolution  reservoir prediction  acoustic impedance  total organic carbon (TOC) content  
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