Rock Property Prediction Using Multiple Seismic and Geologic Attributes ProvidesInsight to Field Development for a Large UAE Field

摘要

High quality 3D seismic data over a large UAE field combined withrnhigh-end geophysical techniques resulted in spectacular porosityrndetail from seismic data over this carbonate field. By using specialrnpost stack filtering techniques to improve data continuity andrndiscontinuity, two optimal data sets were generated. One datarnvolume was optimized for structure and stratigraphic interpretationrnand the other for event mapping and quantitative seismic attributernanalysis. A multi-attribute calibration method was used to estimaternthe porosity from the seismic data. Attributes used include seismicrnand geologic or interpretative attributes. The result was a porosityrnprediction that was 20% improved over the traditional single attributernapproach, as measured on hidden well data. The predicted porosityrnvolume provided high quality detail of reservoir heterogeneity andrnwas very useful in understanding flood front advance in the platformrninterior and flow patterns in the clinoforms. In addition, the seismicrnporosity volume provides a means to place future wells to tap bypassedrnoil and to optimize the location of planned injector andrnproducer zones.