ABSTRACT: Facies Geometry Delineation & Rock and Fluid Property Distribution from Multi-Attribute Classification and Data Mining Technologies: A New Paradigm in the Generation of Hydrocarbon Prospects
Rock Solid Images (RSI) has developed a prospect generation workflow that emphasizes
two tasks – determination of the prospective reservoir facies (geobody) geometry and
determination of the internal rock and fluid properties associated with the prospective
reservoir facies. The determination of the facies geometry is accomplished primarily
through the use of seismic interface attributes; the determination of the internal rock
and fluid properties is accomplished primarily through the use of seismic interval
attributes. The RSI approach to prospecting emphasizes data mining technologies and the
reduction of conventional interpretive processes.
The delineation of prospective facies involves four steps: computation of multiple seismic interface attributes, sensitivity analysis of the attributes to prospective facies and fluid types, clustering of the attributes through Kohonen self-organized mapping, and calibration of the resulting classes to known facies and fluid information at existing well locations.
Once the geometry of the prospective facies has been determined through the use of interface attributes, the internal rock and fluid properties of the reservoir facies must be determined. Rock physics transforms are used to convert the seismic interval attributes into physically meaningful rock and fluid property volumes.
Finally, the shape of the reservoir facies must be integrated with the internal rock and fluid properties. Integration of the closed-surface geobody and internal rock and fluid properties is accomplished through the creation of the geologically conformable property grid.
A case study has been developed in which a turbiditic fan and fluvial channel property grids have been generated and populated with rock and fluid properties
AAPG Search and Discovery Article #90026©2004 AAPG Annual Meeting, Dallas, Texas, April 18-21, 2004.