Prediction of Three Pressures and Wellbore Stability Evaluation Based on Seismic Inversion for Well Huqian-1

The abnormal pore pressures in ultra-deep wells in the Junggar Basin, China are constantly causing drilling incidents for both the drilling engineers and geologists. Formation pore-pressure is an important parameter in wellbore stability analysis, and accurate prediction of pore pressure before drilling is of great significance for effectively controlling wellbore instability. In this paper, the authors utilize seismic velocity inversion and rock mechanics prediction to evaluate the three pressure parameters, i.e., pore pressure, collapse pressure, and fracture pressure. Seismic data were inversed and the velocity model was constructed. Then, the layering models of the relationships between seismic velocity and logging data of the whole formation layers were constructed using seismic attributes and the corresponding acoustic logging data. Finally, the acoustic logging data, or interval transit time of ten corresponding formations, were predicted using layering models of seismic data. In an ultra-deep well, two abnormal highly pressurized sections were confirmed. This shows great potential for realizing real-time prediction of acoustic and density log data of undrilled formations in this area. Field applications confirm that the proposed method enhances prediction accuracy and computational efficiency compared to the Eston method. Two abnormal high-pressure zones were successfully identified in the Huqian-1 well, i.e., the Taxihe Formation (1.38 g/cm3) and the Anjihaihe Formation (1.50 g/cm3).

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Publication Details

Journal
Processes
Published
2025-08-29
DOI
https://doi.org/10.3390/pr13092772
Citations
2
Primary Topic
Seismic Imaging and Inversion Techniques
Type
article
Field-Weighted Citation Impact
3.73

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article

Prediction of Three Pressures and Wellbore Stability Evaluation Based on Seismic Inversion for Well Huqian-1

Xinjun Mao, Renzhong Gan, Xiaoying Song, Yingjian Xiao et al.
2 citations
Processes
Seismic Imaging and Inversion Techniques
3.73
article

Prediction of Three Pressures and Wellbore Stability Evaluation Based on Seismic Inversion for Well Huqian-1

Xinjun Mao, Renzhong Gan, Xiaoying Song, Yingjian Xiao, Cheng Zhiguo, Xiaotao Wang, Wei Zheng, Peirong Yu
article en
2 citations

Abstract

The abnormal pore pressures in ultra-deep wells in the Junggar Basin, China are constantly causing drilling incidents for both the drilling engineers and geologists. Formation pore-pressure is an important parameter in wellbore stability analysis, and accurate prediction of pore pressure before drilling is of great significance for effectively controlling wellbore instability. In this paper, the authors utilize seismic velocity inversion and rock mechanics prediction to evaluate the three pressure parameters, i.e., pore pressure, collapse pressure, and fracture pressure. Seismic data were inversed and the velocity model was constructed. Then, the layering models of the relationships between seismic velocity and logging data of the whole formation layers were constructed using seismic attributes and the corresponding acoustic logging data. Finally, the acoustic logging data, or interval transit time of ten corresponding formations, were predicted using layering models of seismic data. In an ultra-deep well, two abnormal highly pressurized sections were confirmed. This shows great potential for realizing real-time prediction of acoustic and density log data of undrilled formations in this area. Field applications confirm that the proposed method enhances prediction accuracy and computational efficiency compared to the Eston method. Two abnormal high-pressure zones were successfully identified in the Huqian-1 well, i.e., the Taxihe Formation (1.38 g/cm3) and the Anjihaihe Formation (1.50 g/cm3).

ProcessesVol. 13(9)
China University of Petroleum, Beijing (CN), Karamay Central Hospital (CN), China National Petroleum Corporation (China) (CN)
Strong, China University of Petroleum, Beijing
Openalex Percentile: Top 7%
Seismic Imaging and Inversion Techniques
3.73
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