物探化探计算技术2026，Vol.48Issue(4)：584-594,11.DOI:10.12474/wthtjs.20251230-0001
基于多矿物分析的砂岩储层岩石物理参数反演
The rock physical parameters inversion of sandstone reservoirs based on multi-mineral analysis
摘要
Abstract
The study of rock physics parameter inversion methods is of great significance in seismic reservoir prediction.Well logging data serves as the primary source of information for this process.Using well logging data to invert rock physical parameters requires two prerequisites:first,knowledge of the rock's mineral composition,and second,the use of appropriate rock physics models.In practical applications,obtaining accurate mineral composition information can be challenging,thereby reducing the precision of the inversion.To address this issue,a Bayesian theory-based multi-mineral inversion method is employed to obtain the endpoint values and volume fractions of the minerals in the rock.Subsequently,a least-squares algorithm constrained by the critical porosity model,the Voigt model,and the Reuss model is used to invert the elastic moduli of the minerals and the pore aspect ratio.Results from actual well logging data show that the Bayesian theory-based multi-mineral inversion method can yield reasonable estimates of mineral volume fractions.Building on these estimates,the least-squares algorithm can further refine the inversion to yield more accurate estimates of the mineral elastic moduli and pore aspect ratios.This approach yields reconstructed P-and S-wave velocities closer to the measured values,thereby reducing the error between the predicted and observed values.关键词
砂岩储层/岩石物理参数反演/多矿物分析方法/最小二乘算法/孔隙纵横比Key words
sandstone reservoir/rock physics parameter inversion/multi-mineral analysis method/least squares algorithm/pore aspect ratio分类
天文与地球科学引用本文复制引用
蒋仕杰,陈学华,齐迎凯,赵庆伟..基于多矿物分析的砂岩储层岩石物理参数反演[J].物探化探计算技术,2026,48(4):584-594,11.基金项目
国家自然科学基金项目(42374163) （42374163）
中央引导地方科技发展专项项目(2024ZYD0124) （2024ZYD0124）
四川省自然科学基金重点项目(2023NSFSC0019) （2023NSFSC0019）
