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ORIGINAL RESEARCH article

Front. Earth Sci.

Sec. Solid Earth Geophysics

This article is part of the Research TopicFrontiers in Borehole Multi-Geophysics: Innovations and ApplicationsView all 12 articles

A Novel Brittleness Evaluation Method for Shale Based on Nonlinear Weighting of Mineral Composition: A Case Study of the Qiongzhusi Formation in Southwestern Sichuan Basin

Provisionally accepted
Wenhao  WangWenhao Wang1Weibiao  XieWeibiao Xie1*Haili  MaHaili Ma2Zilong  RenZilong Ren1Qiuli  YinQiuli Yin1Pan  ZhangPan Zhang1
  • 1China University of Petroleum Beijing, Karamay Campus, Karamay, China
  • 2Shenli well logging Company, Sinopec, Doying, China

The final, formatted version of the article will be published soon.

Accurate assessment of shale brittleness is crucial for identifying optimal development zones, directly impacting the effectiveness of fracturing stimulation and production forecasting. To address the ambiguity regarding the influence of different mineral components on brittleness in current mineral-based evaluation approaches, this study employs the Analytic Hierarchy Process (AHP) to quantify the brittleness contribution coefficients of diverse minerals based on their distinct physical properties. Moreover, the study considers the nonlinear correlation between mineral content and shale brittleness to enhance the existing mineral-based brittleness index model. Application of this refined model to the Qiongzhusi Formation shale in the southwestern Sichuan Basin reveals a reduction of approximately 34% in the mean relative error compared to traditional methods, demonstrating improved capture of vertical brittleness variations. This model effectively characterizes the vertical variability of shale reservoir brittleness, offering a straightforward construction process, broad applicability, and essential data support for subsequent comprehensive geological and engineering assessments.

Keywords: Brittleness evaluation3, Elastic parameters2, Mineral composition1, Qiongzhusi Formation5, Shale reservoir4

Received: 31 Oct 2025; Accepted: 12 Dec 2025.

Copyright: © 2025 Wang, Xie, Ma, Ren, Yin and Zhang. This is an open-access article distributed under the terms of the Creative Commons Attribution License (CC BY). The use, distribution or reproduction in other forums is permitted, provided the original author(s) or licensor are credited and that the original publication in this journal is cited, in accordance with accepted academic practice. No use, distribution or reproduction is permitted which does not comply with these terms.

* Correspondence: Weibiao Xie

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