Shear wave velocity prediction using seismic attributes and well log data

3D Petrophysical Modeling Usning Complex Seismic Attributes and Limited Well Log Data

A method for 3D modeling and interpretation of log properties from complex seismic attributes (obtained from 3D post stack seismic data) is developed by integrating Principal Component Analysis and Local Linear Modeling. Complex seismic attributes have non-linear relationships with petrophysical properties of rocks. These complicated relationships can be approximated using statistical methods. ...

Geostatistical Seismic Inversion Using Well Log Constraints

Information about reservoir properties usually comes from two sources: seismic data and well logs. The former provide an indirect, low resolution image of rock velocity and density. The latter provide direct, high resolution (but laterally sparse) sampling of these and other rock parameters. An important problem in reservoir characterization is how best to combine these data sets, allowing the ...

Multi- and Monoscale Attributes for Well and Seismic Data

Pore throat size characterization of carbonate reservoirs by integrating core data, well logs and seismic attributes

Investigation of pore system properties of carbonate reservoirs has an important role in evaluating the reservoir quality and delineating high production intervals. The current study proposes a three-step approach for pore throat size characterization of these reservoirs, by integrating core data, well logs and 3D seismic volume. In this respect, first the pore throats size was calculated using...

Horizon refinement by synthesis of seismic and well log data

Subsurface rock strata are often conceptualized in three dimensions as depth surfaces, or horizons. By picking the corresponding reflection event from 3-D seismic data, an approximate “seismic horizon” can be obtained, but in general the inconsistencies in the approximation are nontrivial. Picks from well log data give the depth to the horizon to high accuracy, but only at a few points. To achi...