APPLIED GEOPHYSICS
 
        Home  |  Copyright  |  About Journal  |  Editorial Board  |  Indexed-in  |  Subscriptions  |  Download  |  Contacts Us  |  中文
APPLIED GEOPHYSICS  2025, Vol. 22 Issue (2): 432-446    DOI: 10.1007/s11770-025-1237-5
article Current Issue | Next Issue | Archive | Adv Search Previous Articles  |  Next Articles  
Research on Seismic Prediction Methods for Pore Pressure in the Canglangpu Formation Carbonate of JT1 Well Area in Sichuan Basin
Zhao Hu*, Yu Huan, Zhang Hang, Zhang Jie-wei, Li Wen-hao, Yang Heng, Dai Jing-yun, An Hong-yi
1.Sichuan Province University Key Laboratory of Natural Gas Geology, SWPU, Chengdu 610500; 2. School of Geoscisence and Technology, Southwest Petroleum University, Chengdu 610500; 3. Geophysical Division, PetroChina Southwest Oil & Gasfi eld Company, Chengdu 610041; 4. Southwest Oil&Gas fi eld Company Northeastern Sichuan Oil and Gas District, Dazhou 635000; 5. Petrochina Southwest Oil&Gas fi eld Company Exploration Division, Chengdu 610041.
 Download: PDF (0 KB)   HTML ( KB)   Export: BibTeX | EndNote (RIS)      Supporting Info
Abstract The Canglangpu Formation in the JT1 well area of the Sichuan Basin exhibits strong lateral heterogeneity and complex overpressure mechanisms, leading to ambiguous pore pressure distribution characteristics. Conventional prediction methods, such as the Equivalent Depth Method, are either inapplicable or yield unsatisfactory results (e.g., Fillippone’s method), contributing to frequent drilling incidents like gas kick, overfl ow, and lost circulation, which hinder the safe and effi cient exploration of natural gas. To address these challenges, this paper integrates lithology, physical properties, and overpressure mechanisms of the Canglangpu Formation. From a petrophysical perspective, a pore pressure prediction model independent of lithology and overpressure mechanisms was developed by combining the poroelasticity theory, linear elastic Hooke’s Law, and Biot’s effective stress theory, with an analysis of the relationship between carbonate rock strain, external stress, and internal pore pressure. Unlike conventional methods, the model does not rely on the establishment of a normal compaction trend line. Pre-stack seismic inversion was applied to achieve 3D pore pressure prediction for the formation. Results indicate high accuracy, with a relative error of less than 5% compared to measured data, and strong consistency with actual drilling events. The proposed method provides robust technical support for pore pressure prediction in carbonate formations and drilling geological design.
Service
E-mail this article
Add to my bookshelf
Add to citation manager
E-mail Alert
RSS
Articles by authors
Key wordsSichuan Basin    Canglangpu Formation    pore pressure prediction    seismic prediction    pre-stack inversion     
Received: 2025-02-01;
Fund: This research is supported by innovation consortium project of China Petroleum and Southwest Petroleum University (No.2020CX010201) and Sichuan Science and Technology Program (No. 2024NSFSC0081)
Corresponding Authors: Zhao hu (Email:cumtzhaohu@163.com).   
 E-mail: cumtzhaohu@163.com
About author: Zhao Hu, Doctor, Professor, received bachelor's degree in geological engineering from China University of mining and technology in 2004 and received his doctorate in earth exploration and information technology from Chengdu University of technology. At present, he is a professor in school of geoscience and technology of Southwest Petroleum University, mainly engaged in teaching and scientific research of seismic acquisition method and seismic interpretation.
Cite this article:   
. Research on Seismic Prediction Methods for Pore Pressure in the Canglangpu Formation Carbonate of JT1 Well Area in Sichuan Basin[J]. APPLIED GEOPHYSICS, 2025, 22(2): 432-446.
 
No references of article
[1] Wang Kang-Ning, Sun Zan-Dong, Dong Ning. Prestack inversion based on anisotropic Markov random field–maximum posterior probability inversion and its application to identify shale gas sweet spots[J]. APPLIED GEOPHYSICS, 2015, 12(4): 533-544.
[2] Zhang Ru-Wei, Li Hong-Qi, Zhang Bao-Jin, Huang Han-Dong, Wen Peng-Fei. Detection of gas hydrate sediments using prestack seismic AVA inversion[J]. APPLIED GEOPHYSICS, 2015, 12(3): 453-464.
[3] Huang Han-Dong, Wang Yan-Chao, Guo Fei, Zhang Sheng, Ji Yong-Zhen, Liu Cheng-Han. Zoeppritz equation-based prestack inversion and its application in fluid identification[J]. APPLIED GEOPHYSICS, 2015, 12(2): 199-211.
[4] LUO Chun-Mei, WANG Shang-Xu, YUAN San-Yi. Effect of inaccurate wavelet phase on prestack waveform inversion[J]. APPLIED GEOPHYSICS, 2014, 11(4): 479-488.
[5] TIAN Yu-Kun, ZHOU Hui, CHEN Han-Ming, ZOU Ya-Ming, GUAN Shou-Jun. Bayesian prestack seismic inversion with a self-adaptive Huber-Markov random-field edge protection scheme[J]. APPLIED GEOPHYSICS, 2013, 10(4): 453-460.
[6] CHEN Shuang-Quan, WANG Shang-Xu, ZHANG Yong-Gang, JI Min. Reservoir prediction using pre-stack inverted elastic parameters[J]. APPLIED GEOPHYSICS, 2009, 6(4): 375-384.
Copyright © 2011 APPLIED GEOPHYSICS
Support by Beijing Magtech Co.ltd support@magtech.com.cn