方法对比
并排查看您选择的方法；存在差异的行会高亮显示。
| 地质力学建模× | 地球物理反演× | |
|---|---|---|
| 领域 | 地球科学 | 地球科学 |
| 方法族 | Process / pipeline | Process / pipeline |
| 起源年份≠ | 1900s | 1963 |
| 提出者≠ | Coulomb and Mohr | Tikhonov and Tarantola |
| 类型≠ | rock behavior prediction pipeline | data assimilation pipeline |
| 开创性文献≠ | Jaeger, J. C., & Cook, N. G. W. (1979). Fundamentals of Rock Mechanics (2nd ed.). Chapman and Hall. link ↗ | Tarantola, A. (1987). Inverse Problem Theory: Methods for Data Fitting and Model Parameter Estimation. Elsevier. link ↗ |
| 别名 | mechanical earth modeling, stress modeling, rock mechanics simulation | inverse problem solving, parameter estimation, model-data fitting |
| 相关≠ | 5 | 3 |
| 摘要≠ | Geomechanical modeling is the numerical simulation of stress and deformation in rock masses, integrating rock properties, pressure conditions, and geometric constraints. Rooted in classical mechanics (Coulomb, Mohr) but modernized by finite element and finite difference methods, this approach is essential for well integrity assessment, reservoir compaction prediction, and stability evaluation of slopes and excavations. Models link subsurface geology to rock mechanical behavior. | Geophysical inversion is the process of using observed geophysical data to estimate subsurface properties and structures. Formalized by Tikhonov (1963) and expanded by Tarantola (1987), this mathematical framework solves the inverse problem: given measurements (gravity, magnetics, seismic, electrical), what subsurface model produced them? Inversion is central to all quantitative geophysics and enables extraction of detailed subsurface information from surface or borehole measurements. |
| ScholarGate数据集 ↗ |
|
|