The Lower Permian Maokou Formation in the Hechuan area is one of the key horizons for natural gas exploration in the Sichuan Basin, showing a low degree of exploration and great exploration potential. The Lower Permian gas reservoir is mainly controlled by the reservoir, therefore it is subject to the development of the Maokou Formation reservoir. However, due to the strong heterogeneity and significant variations in physical properties of the Maokou Formation dolomite reservoir in the Hechuan area, there are significant differences in seismic response characteristics of reservoirs with different porosities. Through comprehensive analysis of gas testing wells in the Maokou Formation, criteria for reservoir classification were established based on lithology, average porosity, plane porosity, and thickness of dolomite reservoirs. The effective reservoirs in the Maokou Formation were divided into two types: high-porosity reservoirs and medium-porosity reservoirs. On the basis of establishing a physical quantity model for the Lower Permian carbonate rock in the research area, the rock physical characteristics and seismic response characteristics of reservoirs with different pores are determined through model forward modeling, and appropriate methods are selected for prediction. By using the optimization processing method of gathers and wavelet decomposition to remove sidelobes, the issue of seismic abnormal response caused by lateral velocity changes in the underlying Maokou Formation has been solved. The relative strength relationship of seismic response amplitude can effectively characterize the true situation of reservoir development. Then, by using post-stack inversion and pre-stack simultaneous inversion methods, the high-porosity and medium-porosity dolomite reservoirs in the Maokou Formation are classified and predicted, thereby to effectively improve the prediction accuracy of reservoirs, ultimately providing a reliable basis for the exploration and development of the Maokou Formation in the Hechuan area in the later stage.
| Published in | Earth Sciences (Volume 13, Issue 2) |
| DOI | 10.11648/j.earth.20241302.13 |
| Page(s) | 67-75 |
| Creative Commons |
This is an Open Access article, distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution and reproduction in any medium or format, provided the original work is properly cited. |
| Copyright |
Copyright © The Author(s), 2024. Published by Science Publishing Group |
Sichuan Basin, Maokou Formation, Dolomite Reservoir Rock, Physical Quantity Version, Reservoir Prediction
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APA Style
Yao, L., Shize, W., Haiyin, L., Xiaojie, C., Jing, Z., et al. (2024). Classification and Prediction Method for Dolomite Reservoirs in the Permian Maokou Formation in the Sichuan Basin. Earth Sciences, 13(2), 67-75. https://doi.org/10.11648/j.earth.20241302.13
ACS Style
Yao, L.; Shize, W.; Haiyin, L.; Xiaojie, C.; Jing, Z., et al. Classification and Prediction Method for Dolomite Reservoirs in the Permian Maokou Formation in the Sichuan Basin. Earth Sci. 2024, 13(2), 67-75. doi: 10.11648/j.earth.20241302.13
AMA Style
Yao L, Shize W, Haiyin L, Xiaojie C, Jing Z, et al. Classification and Prediction Method for Dolomite Reservoirs in the Permian Maokou Formation in the Sichuan Basin. Earth Sci. 2024;13(2):67-75. doi: 10.11648/j.earth.20241302.13
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Download@article{10.11648/j.earth.20241302.13,
author = {Lu Yao and Wang Shize and Li Haiyin and Cui Xiaojie and Zhao Jing and Li Li and Zou Wen and Yan Qun},
title = {Classification and Prediction Method for Dolomite Reservoirs in the Permian Maokou Formation in the Sichuan Basin
},
journal = {Earth Sciences},
volume = {13},
number = {2},
pages = {67-75},
doi = {10.11648/j.earth.20241302.13},
url = {https://doi.org/10.11648/j.earth.20241302.13},
eprint = {https://article.sciencepublishinggroup.com/pdf/10.11648.j.earth.20241302.13},
abstract = {The Lower Permian Maokou Formation in the Hechuan area is one of the key horizons for natural gas exploration in the Sichuan Basin, showing a low degree of exploration and great exploration potential. The Lower Permian gas reservoir is mainly controlled by the reservoir, therefore it is subject to the development of the Maokou Formation reservoir. However, due to the strong heterogeneity and significant variations in physical properties of the Maokou Formation dolomite reservoir in the Hechuan area, there are significant differences in seismic response characteristics of reservoirs with different porosities. Through comprehensive analysis of gas testing wells in the Maokou Formation, criteria for reservoir classification were established based on lithology, average porosity, plane porosity, and thickness of dolomite reservoirs. The effective reservoirs in the Maokou Formation were divided into two types: high-porosity reservoirs and medium-porosity reservoirs. On the basis of establishing a physical quantity model for the Lower Permian carbonate rock in the research area, the rock physical characteristics and seismic response characteristics of reservoirs with different pores are determined through model forward modeling, and appropriate methods are selected for prediction. By using the optimization processing method of gathers and wavelet decomposition to remove sidelobes, the issue of seismic abnormal response caused by lateral velocity changes in the underlying Maokou Formation has been solved. The relative strength relationship of seismic response amplitude can effectively characterize the true situation of reservoir development. Then, by using post-stack inversion and pre-stack simultaneous inversion methods, the high-porosity and medium-porosity dolomite reservoirs in the Maokou Formation are classified and predicted, thereby to effectively improve the prediction accuracy of reservoirs, ultimately providing a reliable basis for the exploration and development of the Maokou Formation in the Hechuan area in the later stage.
},
year = {2024}
}
TY - JOUR T1 - Classification and Prediction Method for Dolomite Reservoirs in the Permian Maokou Formation in the Sichuan Basin AU - Lu Yao AU - Wang Shize AU - Li Haiyin AU - Cui Xiaojie AU - Zhao Jing AU - Li Li AU - Zou Wen AU - Yan Qun Y1 - 2024/04/29 PY - 2024 N1 - https://doi.org/10.11648/j.earth.20241302.13 DO - 10.11648/j.earth.20241302.13 T2 - Earth Sciences JF - Earth Sciences JO - Earth Sciences SP - 67 EP - 75 PB - Science Publishing Group SN - 2328-5982 UR - https://doi.org/10.11648/j.earth.20241302.13 AB - The Lower Permian Maokou Formation in the Hechuan area is one of the key horizons for natural gas exploration in the Sichuan Basin, showing a low degree of exploration and great exploration potential. The Lower Permian gas reservoir is mainly controlled by the reservoir, therefore it is subject to the development of the Maokou Formation reservoir. However, due to the strong heterogeneity and significant variations in physical properties of the Maokou Formation dolomite reservoir in the Hechuan area, there are significant differences in seismic response characteristics of reservoirs with different porosities. Through comprehensive analysis of gas testing wells in the Maokou Formation, criteria for reservoir classification were established based on lithology, average porosity, plane porosity, and thickness of dolomite reservoirs. The effective reservoirs in the Maokou Formation were divided into two types: high-porosity reservoirs and medium-porosity reservoirs. On the basis of establishing a physical quantity model for the Lower Permian carbonate rock in the research area, the rock physical characteristics and seismic response characteristics of reservoirs with different pores are determined through model forward modeling, and appropriate methods are selected for prediction. By using the optimization processing method of gathers and wavelet decomposition to remove sidelobes, the issue of seismic abnormal response caused by lateral velocity changes in the underlying Maokou Formation has been solved. The relative strength relationship of seismic response amplitude can effectively characterize the true situation of reservoir development. Then, by using post-stack inversion and pre-stack simultaneous inversion methods, the high-porosity and medium-porosity dolomite reservoirs in the Maokou Formation are classified and predicted, thereby to effectively improve the prediction accuracy of reservoirs, ultimately providing a reliable basis for the exploration and development of the Maokou Formation in the Hechuan area in the later stage. VL - 13 IS - 2 ER -
Geological Research Center, Bureau of Geophysical Prospecting Inc, China National Petroleum Corporation, Zhuozhou, China
