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Abstract <p>This paper presents the results of kinetic analysis of organic matter (OM) of 41 samples of rocks of the Bazhenov Formation from one well. The kerogen maturity of all the samples is low (early oil window). According to the results the kinetic characteristics of kerogen, such as activation energy of destruction of bonds, frequency factor, and generation beginning and end temperature could significantly vary within one section. The range of temperature variation required to transform 50% of OM in the investigated samples is up to 27°C. The difference in modeling with various kinetic spectra shows that the assignment of the entire section of the Bazhenov Formation to a single homogeneous rock with similar OM characteristics is incorrect and will significantly affect the accuracy of the resulting basin models.</p>

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The Variability of the Kinetic Characteristics of Organic Matter of the Bazhenov Formation Based on the Example of Core Material from a Well in the Center of Western Siberia

  • 期刊论文

  • 发表日期：

    2025年2月1日

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  • G. G. Savostin,
  • M. L. Makhnutina,
  • M. O. Kostyshina,
  • Yu. A. Kotochkova,
  • T. V. Grigorenko,
  • D. A. Griaznova,
  • O. A. Emelyanenko,
  • A. G. Kalmykov,
  • G. A. Kalmykov

摘要

Abstract

This paper presents the results of kinetic analysis of organic matter (OM) of 41 samples of rocks of the Bazhenov Formation from one well. The kerogen maturity of all the samples is low (early oil window). According to the results the kinetic characteristics of kerogen, such as activation energy of destruction of bonds, frequency factor, and generation beginning and end temperature could significantly vary within one section. The range of temperature variation required to transform 50% of OM in the investigated samples is up to 27°C. The difference in modeling with various kinetic spectra shows that the assignment of the entire section of the Bazhenov Formation to a single homogeneous rock with similar OM characteristics is incorrect and will significantly affect the accuracy of the resulting basin models.