| The application of elastic impedance inversion in reservoir prediction at the Jinan area of Tarim Oilfield |
| |
| 作者姓名： | 杨金华 李国发 刘洋 姜卫东 |
| |
| 作者单位： | [1]School of Earth and Space Sciences, Peking University, Beijing 100871, China [2]Key Laboratory of Geophysical Exploration of CNPC, China University of Petroleum, Beijing 102249, China [3]East Geophysical Company, Zhuozhou, 072751, China |
| |
| 摘 要： | The Triassic reservoir in the Jinan area of Tarim Oilfield consists largely of interbedded sand and shale. Because of the large overlap between sandstone and shale impedance, it is difficult to distinguish sandstone from shale by acoustic impedance alone. Compared to acoustic impedance, elastic impedance contains more lithologic and physical information of the reservoir. Based on meticulous well-tie calibration, elastic impedance data volumes for 10°, 20°, and 30° emergence angles are obtained using pre-stack elastic impedance inversion. A non-linear statistical relationship between elastic impedance and shale content is set up by a PNN neural network. The non-linear mapping relationship is used to predict the reservoir shale content from elastic impedance, which will depict and predict the reservoir oil-bearing sands.
|
| 关 键 词： | 中国 济南地区 页岩 弹性阻抗 声音阻抗 神经网络 |
| 收稿时间： | 11 July 2007 |
| 修稿时间： | 2007-07-11 |
The application of elastic impedance inversion in reservoir prediction at the Jinan area of Tarim Oilfield |
| |
| Yang Jinhua,Li Guofa,Liu Yang,Jiang Weidong.The application of elastic impedance inversion in reservoir prediction at the Jinan area of Tarim Oilfield[J].Applied Geophysics,2007,4(3):201-206. |
| |
| Authors: | Yang Jinhua Li Guofa Liu Yang Jiang Weidong |
| |
| Institution: | (1) School of Earth and Space Sciences, Peking University, Beijing, 100871, China;(2) Key Laboratory of Geophysical Exploration of CNPC, China University of Petroleum, Beijing, 102249, China;(3) East Geophysical Company, Zhuozhou, 072751, China |
| |
| Abstract: | The Triassic reservoir in the Jinan area of Tarim Oilfield consists largely of interbedded sand and shale. Because of the
large overlap between sandstone and shale impedance, it is difficult to distinguish sandstone from shale by acoustic impedance
alone. Compared to acoustic impedance, elastic impedance contains more lithologic and physical information of the reservoir.
Based on meticulous well-tie calibration, elastic impedance data volumes for 10°, 20°, and 30° emergence angles are obtained
using pre-stack elastic impedance inversion. A non-linear statistical relationship between elastic impedance and shale content
is set up by a PNN neural network. The non-linear mapping relationship is used to predict the reservoir shale content from
elastic impedance, which will depict and predict the reservoir oil-bearing sands. |
| |
| Keywords: | Acoustic impedance elastic impedance shale content PNN neural network non-linear relationship |
| 本文献已被 维普 SpringerLink 等数据库收录！ |
|
