Abstract: Techniques relating to performing an incremental backup of a database relative to a previous backup are disclosed. The incremental backup may include initiating monitoring of a dirty list indicative of one or more portions of the database that have been modified since the previous backup, causing a reset of the dirty list, obtaining a copy of the dirty list, and backing up only portions of the database identified by the copy of the dirty list. The copy may be representative of the dirty list immediately prior to the reset.

Abstract: Methods, computer program products, computer systems, and the like, which provide for the performance of a targeted backup operation, are disclosed. Such a targeted backup operation is performed on a backup that comprises a plurality of data blocks. The data blocks, in turn, comprise an in-use data block and an unused data block. The targeted backup operation comprises performing a backup operation on the in-use data block.

Abstract: A system, method, and medium for performing incremental backups of a Microsoft SQL server database. A snapshot of the database is created, and then a map identifying the changed extents is retrieved from the snapshot. The changed extents are then retrieved from the snapshot and stored in a backup storage device. For a restore operation, a full database backup file is written to a storage device and then the changed extents from a stored incremental backup file may be merged with the full backup file. Next, the database server is notified of the reconstructed file and then the reconstructed file is mounted by the database server as a live instance of the database.

Abstract: Various systems and methods for restoring data in distributed storage systems. For example, one method involves receiving a first selection, where the first selection identifies data abstraction. The data abstraction represents a data source that can be restored. The method also involves receiving a second selection, where the second selection identifies a restore operation, and where the restore operation is associated with the data abstraction. The method also involves determining data to be restored, where this determination is based on the data source(s) (as can be determined from the data abstraction) and on the second selection. Data can then be restored based on the determined data.

Abstract: A system, method, and medium for performing incremental backups of a Microsoft SQL server database. A snapshot of the database is created, and then a map identifying the changed extents is retrieved from the snapshot. The changed extents are then retrieved from the snapshot and stored in a backup storage device. For a restore operation, a full database backup file is written to a storage device and then the changed extents from a stored incremental backup file may be merged with the full backup file. Next, the database server is notified of the reconstructed file and then the reconstructed file is mounted by the database server as a live instance of the database.

Abstract: A hydrocarbon exploration method is disclosed for developing a model of at least one effective material property of a subsurface reservoir as a function of the composition and structure of the reservoir rock. In one embodiment, the method comprises: obtaining a 3D image (102) of a rock sample characteristic of a reservoir of interest (101); segmenting the 3D image into compositional classes (103) based on similarities in mineralogy, structure and spatial distribution; selecting a model (105) that relates an effective material property of interest to the volume fractions of each compositional class; and determining the parameters of the model (106). The model may be used to assess the commercial potential of the subsurface reservoir (107).

Abstract: A system, method, and medium for performing incremental backups of a Microsoft SQL server database. A snapshot of the database is created, and then a map identifying the changed extents is retrieved from the snapshot. The changed extents are then retrieved from the snapshot and stored in a backup storage device. For a restore operation, a full database backup file is written to a storage device and then the changed extents from a stored incremental backup file may be merged with the full backup file. Next, the database server is notified of the reconstructed file and then the reconstructed file is mounted by the database server as a live instance of the database.

Abstract: A hydrocarbon exploration method is disclosed for generating anisotropic resistivity models of a subsurface reservoir from seismic and well data using a rock physics model. In one embodiment, the method comprises: selecting wells within a region of interest (101); obtaining a plurality of rock properties (102) and adjusting selected rock parameters (103) in the calibration of the rock physics model at the well locations; inverting porosity and shale content from seismic data (107); propagating the calibrated rock physics model to the region of interest (109) and calculating effective resistivity for the entire region of interest (109). The inventive method also provides for analyzing the uncertainty associated with the prediction of the resistivity volume.

Abstract: A full backup of a database is created at a first point in time. To restore the database to its state at a second point in time (after the full backup was created), a set of incremental backups, including the incremental backup that corresponds to the second point in time and incremental backups created between the first and second points in time, is used in reverse chronological order. For example, blocks in the full backup can be selectively overwritten with corresponding blocks from the incremental backups in reverse chronological order.

Abstract: Method for predicting physical properties of a source rock formation wherein an inclusion-based (103) mathematical rock physics model (101) is constructed that treats organic matter as solid inclusions, solid background, or both, and relates anisotropic elastic and electric properties of source rock to in-situ rock and fluid properties (102). The model is calibrated with well log data and may be used to forward model calculate effective anisotropic elastic (104.1) and electrical (104.2) properties of the source rock formation, or by inversion (441-442) of sonic and resistivity log data to calculate total organic carbon (423) in terms of a difference (421) between elastic and electrical properties of the source rock.

Abstract: A system, method, and medium for performing incremental backups of a Microsoft SQL server database. A snapshot of the database is created, and then a map identifying the changed extents is retrieved from the snapshot. The changed extents are then retrieved from the snapshot and stored in a backup storage device. For a restore operation, a full database backup file is written to a storage device and then the changed extents from a stored incremental backup file may be merged with the full backup file. Next, the database server is notified of the reconstructed file and then the reconstructed file is mounted by the database server as a live instance of the database.

Abstract: A hydrocarbon exploration method is disclosed for generating anisotropic resistivity models of a subsurface reservoir from seismic and well data using a rock physics model. In one embodiment, the method comprises: selecting wells within a region of interest (101); obtaining a plurality of rock properties (102) and adjusting selected rock parameters (103) in the calibration of the rock physics model at the well locations; inverting porosity and shale content from seismic data (107); propagating the calibrated rock physics model to the region of interest (109) and calculating effective resistivity for the entire region of interest (109). The inventive method also provides for analyzing the uncertainty associated with the prediction of the resistivity volume.

Abstract: A hydrocarbon exploration method is disclosed for developing a model of at least one effective material property of a subsurface reservoir as a function of the composition and structure of the reservoir rock. In one embodiment, the method comprises: obtaining a 3D image (102) of a rock sample characteristic of a reservoir of interest (101); segmenting the 3D image into compositional classes (103) based on similarities in mineralogy, structure and spatial distribution; selecting a model (105) that relates an effective material property of interest to the volume fractions of each compositional class; and determining the parameters of the model (106). The model may be used to assess the commercial potential of the subsurface reservoir (107).