Application of Hierarchical Matrices to Linear Inverse Problems in Geostatistics (Record no. 187677)
[ view plain ]
| 000 -LEADER | |
|---|---|
| fixed length control field | 01905nab a2200241 4500 |
| 008 - CÓDIGOS DE INFORMACIÓN DE LONGITUD FIJA - INFORMACIÓN GENERAL | |
| Campo de control de longitud fija | 260224s2012 xxu ing |
| 041 ## - IDIOMA | |
| Idioma | Inglés |
| 245 00 - TITULO | |
| Título | Application of Hierarchical Matrices to Linear Inverse Problems in Geostatistics |
| 260 ## - PUBLICACION, DISTRIBUCION, ETC | |
| Lugar de publicación, distribución, etc. | |
| Nombre de publicador, distribuidor, etc. | |
| Fecha de publicación, distribución, etc. | sept./oct. 2012 |
| 270 ## - FECHA DE CARGA | |
| Fecha de carga | 13/05/2013 ; 13/05/2013 |
| 300 ## - DESCRIPCION FISICA | |
| Otra extensión | 18 p. ; 857-875 |
| 520 ## - RESUMEN, ETC | |
| Resumen | Traducción del resúmen del autor: Characterizing the uncertainty in the subsurface is an important step for exploration and extraction of natural resources, the storage of nuclear material and gasses such as natural gas or CO2. Imaging the subsurface can be posed as an inverse problem and can be solved using the geostatistical approach [Kitanidis P.K. (2007) Geophys. Monogr. Ser. 171, 19-30, doi:10.1029/171GM04; Kitanidis (2011) doi: 10.1002/9780470685853. ch4, pp. 71-85] which is one of the many prevalent approaches. We briefly describe the geostatistical approach in the context of linear inverse problems and discuss some of the challenges in the large-scale implementation of this approach. Using the hierarchical matrix approach, we show how to reduce matrix vector products involving the dense covariance matrix from (m2) to (m log m), where m is the number of unknowns. Combined with a matrix-free Krylov subspace solver, this results in a much faster algorithm for solving the system of equations that arise from the geostatistical approach. We illustrate the performance of our algorithm on an application, for monitoring CO2 concentrations using crosswell seismic tomography. |
| 581 ## - ESTADO DE COLECCIÓN | |
| Estado de colección | 5 |
| 773 0# - CORRECCIÓN | |
| Título | Oil and Gas Science and Technology |
| Partes relacionadas | 67 |
| 942 ## - DESC. DE MATERIAL | |
| Tipo de item KOHA | Artículo de Revista |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Saibaba, A.K. |
| 9 (RLIN) | 53141 |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Ambikasaran, S. |
| 9 (RLIN) | 53142 |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Yue Li, J. |
| 9 (RLIN) | 53143 |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Kitanidis, P.K. |
| 9 (RLIN) | 53144 |
| 100 1# - RESPONSABLE PERSONAL | |
| Apellido, Nombre | Darve, E.F. |
| 9 (RLIN) | 53145 |
| Biblioteca propietaria | Biblioteca actual | Fecha de adquisición | Inventario | Total de préstamos | Inventario | Fecha de carga | Tipo de item KOHA |
|---|---|---|---|---|---|---|---|
| Biblioteca Alejandro Angel Bulgheroni | Biblioteca Alejandro Angel Bulgheroni | 06/03/2026 | 200059819 | 200059819 | 06/03/2026 | Artículo de Revista |



