--> Abstract: Experiment on the Selection of Time-Transgression Predictive Seismic Attributes, by Yawen He and Hongliu Zeng; #90206 (2014)
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Experiment on the Selection of Time-Transgression Predictive Previous HitSeismicNext Hit Previous HitAttributesNext Hit

Yawen He¹ and Hongliu Zeng²
¹Department of Geoscience, Jackson School of Geosciences, The University of Texas at Austin, TX, USA
²Bureau of Economic Geology, Jackson School of Geosciences, The University of Texas at Austin, TX, USA

Abstract

Both previous theoretical discussion and case studies have shown that Previous HitseismicNext Hit reflections do not necessarily follow the geologic time lines. And in this study, we design a reproducible experiment to select Previous HitseismicNext Hit Previous HitattributesNext Hit that would favor the prediction of the time-transgression for a target Previous HitseismicNext Hit event.

Our Tertiary example in South Texas manifested an increasing tendency of time-transgressive reflections, generated by chaotic "labyrinth" velocity model with the most lateral lithofacies variation, compared with smooth "layered-cake" velocity model with the least lateral lithofacies variation. Conforming to this tendency, three-dimensional Previous HitseismicNext Hit volumes with known intensiveness and magnitude of time transgression could be prepared accordingly.

Afterward, a quantitative criterion to select time-transgression predictive Previous HitseismicNext Hit Previous HitattributesNext Hit was proposed. Time transgression for a given event is quantified by "peak-picked error", and the distributions of candidate Previous HitseismicNext Hit Previous HitattributesNext Hit are estimated within a defined window, centering that event. We inferred that the correlation between a candidate Previous HitseismicTop attribute and the "peak-picked error" could serve as one of the quantitative criteria.

AAPG Search and Discovery Article #90206 © AAPG Hedberg Conference, Interpretation Visualization in the Petroleum Industry, Houston, Texas, June 1-4, 2014