Quantitative seismic facies analysis for thin-bed reservoirs: A case study of the central Boonsville Field, Fort Worth Basin, North-central Texas
© 2004 Society of Exploration Geophysicists. A simple pattern recognition method has been developed to recognize the subtle geological and geophysical features of a thin-bed sequence and to predict thin-bed reservoirs. Compared with other seismic trace pattern techniques, such as seismic coherence and trace classification, this approach shows the following advantages: (1) correcting for the possible mistracking of top horizons by searching a specified time window; (2) presenting seismic facies as continuous values by introducing the modified cross-correlation algorithm, as opposed to categorical numbers; (3) more easily performing one or more supervised trace pattern analysis and combining each of them into a seismic facies; and (4) requiring no wells and therefore fitting very well into spare-well environment such as deep water exploration areas.
SEG Technical Program Expanded Abstracts
Quantitative seismic facies analysis for thin-bed reservoirs: A case study of the central Boonsville Field, Fort Worth Basin, North-central Texas.
SEG Technical Program Expanded Abstracts,
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