摘要：Oil shale represents an unconventional hydrocarbon resource with strategic importance for energy security. This study develops a comprehensive kinetic framework for oil shale pyrolysis that integrates constrained Fraser-Suzuki (FS) deconvolution, isoconversional activation-energy estimation, Sestak-Berggren (SB) unified conversion-function fitting, and multi-parameter response prediction. Multi-heating-rate thermogravimetric analysis (TGA) data were employed to deconvolute overlapping derivative thermogravimetric (DTG) peaks, followed by cross-validation of activation energies using both the Friedman and Starink methods. The kinetic compensation effect (KCE) was incorporated as a physical constraint to ensure parameter reliability. The optimized kinetic parameters were subsequently coupled with an Organic Matter Pyrolysis Model (OMPM) to predict product distribution. Results demonstrate that the six-peak deconvolution scheme adequately characterizes the major mass-loss features in the DTG curves. Kinetic fitting and subsequent product prediction were performed for the four organic peaks (Peaks 1-4), whose activation energies range from 179.5 to 283.2 kJ ＆ sdot;mol-1. The model exhibits predictive capability across both training conditions and extrapolated low-heating-rate scenarios, providing a kinetic foundation for in-situ conversion process optimization.

关键字：Oil shale; Pyrolysis kinetics; Fraser-Suzuki deconvolution; S estak-Berggren equation; Kinetic compensation effect; Product distribution prediction

ISSN号：0016-2361

卷、期、页：卷: 420

发表日期：2026-09-15

期刊分区（SCI为中科院分区）：二区

收录情况：SCI（科学引文索引印刷版）,EI（工程索引）,SCIE（科学引文索引网络版）

发表期刊名称：FUEL

通讯作者：王世熙,杨景辉

第一作者：贾趵,黄中伟

论文类型：期刊论文

论文概要：贾趵,王世熙,杨景辉,黄中伟，Multi-stage kinetic analysis and product distribution prediction for oil shale pyrolysis，FUEL，2026，卷: 420

论文题目：Multi-stage kinetic analysis and product distribution prediction for oil shale pyrolysis