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| 지구물리 역산× | 시추공 검층 자료 분석× | |
|---|---|---|
| 분야 | 지구과학 | 지구과학 |
| 계열 | Process / pipeline | Process / pipeline |
| 기원 연도≠ | 1963 | 1940s |
| 창시자≠ | Tikhonov and Tarantola | Guyod and Barnhart |
| 유형≠ | data assimilation pipeline | subsurface characterization pipeline |
| 원전≠ | Tarantola, A. (1987). Inverse Problem Theory: Methods for Data Fitting and Model Parameter Estimation. Elsevier. link ↗ | Asquith, G. B., & Gibson, C. R. (2004). Basic Well Log Analysis (2nd ed.). American Association of Petroleum Geologists. link ↗ |
| 별칭 | inverse problem solving, parameter estimation, model-data fitting | wireline logging, borehole logging, petrophysical analysis |
| 관련≠ | 3 | 5 |
| 요약≠ | 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. | Well log analysis is the systematic examination of measurements recorded by instruments lowered into a borehole to characterize subsurface lithology, fluid content, and petrophysical properties. Originating in the 1940s, this method has become indispensable for petroleum exploration, groundwater assessment, and engineering geology. Well logs provide direct depth-correlated data that anchor interpretation of seismic surveys and constrain reservoir models. |
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