基于全局扫描–自适应局部优化的深部煤层吸附气临界深度计算方法

A Global-local Optimization Approach for Critical Depth Determination of Adsorbed Gas in Deep Coal Seam

  • 摘要: 为了精确计算深部煤层吸附气含量的转折点,本文运用多元函数偏导数理论,深入量化温度和压力对吸附量的影响程度,通过多元函数极值点概念精准定义临界深度,并构建与深度紧密关联的目标方程。提出融合全局符号扫描与Brent 局部优化算法的求解方法,用于获取深部煤层吸附气的临界深度,并引入物理约束筛选最优解,从而形成一套适用于不同吸附模型的临界深度计算方法。相较于传统方法,该方法无须大量实验数据,提高了计算效率。计算结果与实测数据高度吻合,充分验证了该求解方法的可靠性和准确性。

     

    Abstract: To accurately calculate the inflection point of gas adsorption in deep coal seams, this study employs partial derivative theory of multivariate functions to quantitatively analyze the effects of temperature and pressure on the adsorption capacity. It accurately defines the critical depth by using the concept of multivariate function extremum and constructs an objective function closely related to the burial depth. A solution method integrating global scanning and the Brent local optimization algorithm is proposed. This method introduces physical constraints to filter optimal solutions, resulting in a critical depth calculation method applicable to various adsorption models. Compared with conventional methodologies, this approach requires less experimental data and enhances computational efficiency. The strong correlation between the calculated results and the measured data confirms the reliability and accuracy of the proposed method.

     

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