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Anisotropic Prestack Depth Migration for Multicomponent Data - Methodology and Examples

R.R. Kendall, Samuel H. Gray, Xinyang Miao

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Abstract

L-30 ANISOTROPIC PRESTACK DEPTH MIGRATION FOR MULTICOMPONENT DATA – METHODOLOGY AND EXAMPLES Abstract 1 We show using both synthetic and real data the effects of anisotropy on converted-wave prestack depth migration. We also introduce a methodology for producing accurate velocity models for these anisotropic prestack depth migrations. We use the synthetic data to illustrate the depth and lateral mispositioning that can occur when isotropic migration techniques are applied to anisotropic rocks. We then introduce a methodology for accurately determining velocity models that are in turn crucial for depth imaging. Finally we show a real data example from the Mahogany Field

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L-30 ANISOTROPIC PRESTACK DEPTH MIGRATION FOR MULTICOMPONENT DATA – METHODOLOGY AND EXAMPLES Abstract 1 We show using both synthetic and real data the effects of anisotropy on converted-wave prestack depth migration. We also introduce a methodology for producing accurate velocity models for these anisotropic prestack depth migrations. We use the synthetic data to illustrate the depth and lateral mispositioning that can occur when isotropic migration techniques are applied to anisotropic rocks. We then introduce a methodology for accurately determining velocity models that are in turn crucial for depth imaging. Finally we show a real data example from the Mahogany Field

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Available abstract

L-30 ANISOTROPIC PRESTACK DEPTH MIGRATION FOR MULTICOMPONENT DATA – METHODOLOGY AND EXAMPLES Abstract 1 We show using both synthetic and real data the effects of anisotropy on converted-wave prestack depth migration. We also introduce a methodology for producing accurate velocity models for these anisotropic prestack depth migrations. We use the synthetic data to illustrate the depth and lateral mispositioning that can occur when isotropic migration techniques are applied to anisotropic rocks. We then introduce a methodology for accurately determining velocity models that are in turn crucial for depth imaging. Finally we show a real data example from the Mahogany Field

Key concepts: Prestack, Anisotropy, Isotropy, Geology, Synthetic data, Field (mathematics), Algorithm, Computer science

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