Abstract
The feeble difference in acoustic impedance between reservoir and its adjacent rocks is unfavorable to use seismic inversion to characterize reservoirs, and the corresponding results are always invalid and coarse. Based on the knowledge of the geology and geophysics of tight clastic reservoir, this paper outlines a new program used for seismic inversion in tight clastic reservoir characterization. Firstly a coarse inversion result in accordance with geological pattern is obtained through artificial neural network. Then geo-statistics inversion is applied to integrate well data and the inversion data mentioned above, and to get the high-resolution inversion data honored with lateral geological pattern. This seismic inversion program is employed in D gas field, in which tight gas reservoir is the main type, and the high-resolution results are obtained which can be used for reservoir characterization.
Original language | English |
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Pages (from-to) | 298-304+352 |
Journal | Shiyou Diqiu Wuli Kantan/Oil Geophysical Prospecting |
Volume | 47 |
Issue number | 2 |
Publication status | Published - Apr 2012 |
Externally published | Yes |
Keywords
- Artificial neural network
- Geo-statistics
- Reservoir prediction
- Seismic inversion