Artigo Revisado por pares

Seismic reservoir characterization of a U.S. Midcontinent fluvial system using rock physics, poststack seismic attributes, and neural networks

2002; Society of Exploration Geophysicists; Volume: 21; Issue: 5 Linguagem: Inglês

10.1190/1.1481248

ISSN

1938-3789

Autores

Joel Walls, M. Turhan Taner, Gareth Taylor, Maggie Smith, Matthew B. Carr, Naum Derzhi, Jock Drummond, Donn McGuire, Stan Morris, John Bregar, James Lakings,

Tópico(s)

Hydraulic Fracturing and Reservoir Analysis

Resumo

In a U.S. Midcontinent gas field, a channel feature contained shale and reservoir sands ranging in porosity from 6% to 20%. Well logs, core data, and 3D seismic data were combined in a reservoir characterization study to map the lithology and variability of porosity within the target sand. The project was conducted in two phases—a qualitative, uncalibrated seismic attribute study and a detailed well-log-calibrated reservoir characterization.

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