Petroleum Reservoir Evaluation and Development >
2021 , Vol. 11 >Issue 5: 680 - 687
DOI: https://doi.org/10.13809/j.cnki.cn32-1825/te.2021.05.003
Marine thin sandstone reservoir prediction method and seismic sedimentology study: A case study of H Oilfield in the Pearl River Mouth Basin of the South China Sea
Received date: 2020-09-02
Online published: 2021-10-12
H Oilfield in the Pearl River Mouth Basin mainly develops delta front deposits. Its reservoir thickness is thin, the lateral change is fast, and the understanding of lithologic boundary and sand body connectivity is not clear, which seriously restricts the efficient development of oil field. Seismic waveform indication inversion can fully use the lateral changes of seismic waveforms to carry out high-frequency component estimation, and establish the interpolation model which is more consistent with the sedimentary characteristics. This method has good inter-well prediction ability, and is particularly suitable for high-precision prediction of fast lateral changes, strong non-average, and thin interbedded sand and mudstone reservoirs. While for another method, seismic sedimentology, is to use the seismic attribute slice to describe the lateral distribution range and sedimentary characteristics of the reservoir under the guidance of isochronous stratigraphic framework. It has a good detection effect on the plane sedimentary characteristics of thin reservoir which cannot be resolved vertically. Combined with the above two methods, a set of technical processes for fine description and sedimentary characterization of marine thin sandstone reservoirs is formed and has achieved good application results in H Oilfield, meanwhile provides effective technical support for remaining oil prediction and potential tapping adjustment in the study area.
Jingyu ZHANG , Tingen FAN , Haifeng WANG , Yufei GAO , Hongchao DONG , Mingwei HE . Marine thin sandstone reservoir prediction method and seismic sedimentology study: A case study of H Oilfield in the Pearl River Mouth Basin of the South China Sea[J]. Petroleum Reservoir Evaluation and Development, 2021 , 11(5) : 680 -687 . DOI: 10.13809/j.cnki.cn32-1825/te.2021.05.003
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