Advances in Earth Science ›› 2024, Vol. 39 ›› Issue (4): 429-439. doi: 10.11867/j.issn.1001-8166.2024.026

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Research on Prediction Technologies for Overpressure in the Jurassic Strata of the Mosuowan Area, Junggar Basin

Tao WU 1( ), Zeyang XU 2 , 3( ), Wenqi YAN 1, Liying FEI 1, Hechong LIU 1, Jingzhou ZHAO 2 , 3, Jun LI 2 , 3, Zhiwei DU 2 , 3   

  1. 1.Exploration and Development Research Institute of PetroChina Xinjiang Oilfield Company, Karamay Xinjiang 834000, China
    2.Shaanxi Key Laboratory of Petroleum Accumulation Geology, Xi’an Shiyou University, Xi’an 710065, China
    3.College of Earth Sciences & Engineering, Xi’an Shiyou University, Xi’an 710065, China
  • Received:2023-07-11 Revised:2024-02-25 Online:2024-04-10 Published:2024-04-26
  • Contact: Zeyang XU E-mail:wutao33@petrochina.com.cn;xuzeyang@xsyu.edu.cn
  • About author:WU Tao, Professor of engineering, research areas include the reservoir sedimentology and the petrolume geology. E-mail: wutao33@petrochina.com.cn
  • Supported by:
    the Prospective and Fundamental Project of Petro China(2021DJ0405)

Tao WU, Zeyang XU, Wenqi YAN, Liying FEI, Hechong LIU, Jingzhou ZHAO, Jun LI, Zhiwei DU. Research on Prediction Technologies for Overpressure in the Jurassic Strata of the Mosuowan Area, Junggar Basin[J]. Advances in Earth Science, 2024, 39(4): 429-439.

Overpressure is widespread in the Jurassic strata of the Mosuowan area in the Junggar Basin. Achieving precise pressure prediction with high accuracy is crucial for enhancing reservoir formation understanding and ensuring optimal drilling safety. However, existing pressure prediction methods are generally influenced, either directly or indirectly, by the causes of overpressure, leading to variations in their applicability. This study, based on the geological and logging response characteristics of the overpressured section, postulates that overpressure in the Jurassic strata of the Mosuowan area primarily originates from deep pressure transmission, with supplementary contributions from clay mineral transformation, while undercompaction plays a negligible role. Three pressure prediction models were selected: Fillippone, trend regression, and Bowers models. These models were compared for practical applications.

In conclusion, the Fillippone model is suitable for early-stage pressure monitoring while drilling without reference wells; the Bowers model is recommended when there are limited reference wells available. In the late exploration stage, both trend regression and Bowers models can be utilized to investigate overpressure distribution.

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