--> Abstract: Seismic Acoustic Impedance and Well-Log Data Integration: Applications to Carbonate Reservoirs, Partitioned Neutral Zone (PNZ), Saudi Arabia and Kuwait, by Arturo Contreras, Rebecca Latimer, Xiuyuan Li, Stewart Griest, and Scott Meddaugh; #90078 (2008)

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Seismic Acoustic Impedance and Well-Log Data Integration: Applications to Carbonate Reservoirs, Partitioned Neutral Zone (PNZ), Saudi Arabia and Kuwait

Arturo Contreras, Rebecca Latimer, Xiuyuan Li, Stewart Griest, and Scott Meddaugh
ETC, Chevron, Houston, TX

This paper describes the successful integration of acoustic impedance (AI) data into a reservoir characterization project designed to delineate the hydrocarbon reservoirs in the Partitioned Neutral Zone (PNZ), between Saudi Arabia and Kuwait. Seismic and well-log data acquired in carbonate reservoirs of the Wafra and South-Fuwaris Fields were used to generate AI and lithotypes models.

Three case studies from different areas and intervals are analyzed: (1) the Eocene interval from the Western Wafra Field; (2) the Maastrichtian interval from the Central Wafra Field; and (3) the Cretaceous Ratawi interval from the South Fuwaris Field. Sensitivity analyses were performed to determine the relationship between AI and lithotypes. These sensitivity studies indicate that reservoir and non-reservoir facies can be discriminated in terms of AI.

In the Western Wafra area, Eocene reservoir dolomites are associated with relatively low-AI values, whereas anhydrite-rich evaporites correlate with the highest AI values. The Wafra-Maastrichtian interval is characterized by three AI-lithotypes: low-AI shales, mid-AI porous dolomites, and high-AI tight limestones. Finally, the South-Fuwaris Cretaceous interval is represented by a thick oolite reservoir and thin limestone reservoirs, both with high porosity and low-AI values; tight limestones with the highest AI values are also present.

Accordingly, trace-based inversion was applied to the seismic data to produce AI models with sufficient resolution to discriminate between the lithofacies associations within the different study areas. Furthermore, mapping of individual reservoir intervals showed internal reservoir heterogeneities and geologically meaningful distributions of AI and lithotypes.

 

AAPG Search and Discovery Article #90078©2008 AAPG Annual Convention, San Antonio, Texas