| Issue |
E3S Web Conf.
Volume 194, 2020
2020 5th International Conference on Advances in Energy and Environment Research (ICAEER 2020)
|
|
|---|---|---|
| Article Number | 05021 | |
| Number of page(s) | 4 | |
| Section | Environmental Engineering, Ecological Environment and Urban Construction | |
| DOI | https://doi.org/10.1051/e3sconf/202019405021 | |
| Published online | 15 October 2020 | |
Identification and Interpretation of fan deposits in Block H12 of Beixi subsag, Beier depression, Hailar basin
Exploration and Development Research Institute of Daqing Oil Field Co. Ltd, Daqing City, Heilongjiang Province, 163712, China
* Corresponding author: qiyul@petrochina.com.cn, dqzhouyue@petrochina.com.cn
Fan deposits in the Nantun formation in Beier depression have been drilled in the past two decades. It’s difficult to identify and describe subtle traps formed by fans by seismic interpretation. By using a combination of seismic interpretation techniques on the workstation, most of these traps can be identified. By high resolution seismic synthesis records, it is clear to know that the location of the fan body on the seismic profile, and its property. Because of multi-layered and uneven thickness, it is impossible to delineate fan delta features in Nantun formation by one single seismic attribute, Multi-attribute analysis can extend resolution of the seismic data, improve visualization of layer internal composition, see your sand bodies delineation more clearly. Seismic inversion using high resolution log curves and borehole data as a guide can get reservoir thickness. 3d visualization of automatic tracking results makes the reservoir more intuitive. Based on the stratum seismic interpretation, using seismic attribute analysis can depict the shape of the fan, using wave impedance inversion can predict the thickness of the fan, and using automatic tracking technology can display the whole fan.
© The Authors, published by EDP Sciences, 2020
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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