Petroleum Reservoir Evaluation and Development >
2022 , Vol. 12 >Issue 4: 666 - 676
DOI: https://doi.org/10.13809/j.cnki.cn32-1825/te.2022.04.015
Application of facies-controlled prestack geostatistical inversion method in high quality reservoir prediction of low permeability reservoir: A case study of V Oil Formation of Es33 in Block A
Received date: 2022-04-14
Online published: 2022-09-02
In order to solve the difficulties in prediction of high-quality reservoirs in low-permeability V Oil Formation of Es3 sub member in Block A, the residual velocity analysis, flattening and denoising of prestack gather data are carried out to improve the quality of data. Subsequently, well logging formation evaluation, petrophysical modeling and elastic curve forward modeling are carried out, lithology and physical property sensitive parameters are optimized, and it is clear that the combined application of two elastic parameters of speed ratio of P and S waves（Vp/Vs） and vertical wave impedance（CPIMP） could identify high-quality reservoirs. Then, the prestack inversion data preparation, facies control scheme design, well free simulation constant variation and variable range optimization are carried out, and a set of comprehensive prediction method for high-quality reservoirs in low-permeability reservoirs based on facies controlled pre stack geostatistics inversion is established. The inversion results obtained by this method not only improve the accuracy of reservoir prediction, but also are more in line with the geological law. The prediction results can effectively reflect the distribution of high-quality reservoirs in low-permeability reservoirs. Two horizontal wells have been deployed and good application results have been achieved.
Baoyin ZHAO , Ming ZHANG . Application of facies-controlled prestack geostatistical inversion method in high quality reservoir prediction of low permeability reservoir: A case study of V Oil Formation of Es33 in Block A[J]. Petroleum Reservoir Evaluation and Development, 2022 , 12(4) : 666 -676 . DOI: 10.13809/j.cnki.cn32-1825/te.2022.04.015
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