Our Technical Approach

South Bay Resource's technical approach is flexible and varies with the project at hand. In classical "bright spot" trends such as found on the US Gulf Coast, we use advanced technologies that go beyond conventional seismic amplitude exploration through the use of quantitative data mining and pattern recognition techniques. We accomplish this by performing two tasks in parallel, one empirical and the other theoretical: cataloging seismic "signatures" versus production history and modeling/ analyzing the AVO/ amplitude physics of various rock types and fluid fill. Pattern recognition, using modern neural network techniques, is then used to bring the two together in ways that reveal subtle traps in mature areas.

A similar approach is used in more consolidated areas such as Alberta or the mid-Continent where the prediction of lithology/porosity is sought more often than fluid fill type. Here, various rock parameters are matched versus their seismic signature by carefully cataloging seismic response versus log-derived and production-history-derived well parameters. We make extensive use of simultaneous inversion so as to extract subtle lithology and fluid information.

Careful Preparation, Normalization & Analysis

The key to this approach is the careful preparation, normalization and analysis of digital well logs on the one hand, and the careful preparation of advanced and normalized seismic attributes on the other. When applied within a full understanding of the sequence stratigraphy, depositional environment and facies distribution, stratigraphic exploration becomes possible.

South Bay Resources integrates all log, seismic and production data using an extensive suite of modern software. This software suite includes most Schlumberger modules (SeisClass, Log Property Mapper, Framework 3D, InDepth, Variance Cube, etc.), Veritas DGC (AVO, Emerge, Strata). Elog, PowerLog, Petra as well as a slew of online data base production and scout packages.