Enhancing Deepwater Reservoir Identification in the Lagzira Offshore License using Novel Spatiotemporal Visualization Technique

Summary This study analyzes newly merged 3D PSDM seismic data in the Lagzira Offshore license, located in the Tarfaya-Ifni Basin, offshore Morocco. By leveraging Relative Geological Time (RGT) analysis and a cutting-edge depth-based RGB blending approach, interpreters can efficiently visualize and map deepwater clastic systems within the post-rift Cretaceous. Unlike conventional RMS amplitude methods—which rely on fixed sampling windows—this color blending technique offers real-time flexibility to capture depositional features in thicker sediment packages. The resulting images honor geological morphology, enabling detailed mapping of channel elements at varying depths and revealing new stacked targets. Furthermore, the method addresses disadvantages of spectral decomposition, including the need for expert-driven frequency parameterization and extensive computation time. This approach de-risks potential reservoir presence by highlighting amplitude anomalies within thick Cretaceous intervals. The newly identified leads, supported by amplitude-based stratigraphic indicators, overlie the Jurassic SM-1 discovery, where oil was previously recovered. Overall, this workflow improves reservoir delineation in complex slope environments and provides a fast, accurate, and consistent means to integrate seismic geomorphology into prospect evaluation.

Authors

Publication Details

Published
2025-01-01
DOI
https://doi.org/10.3997/2214-4609.2025639019
Primary Topic
Reservoir Engineering and Simulation Methods
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Enhancing Deepwater Reservoir Identification in the Lagzira Offshore License using Novel Spatiotemporal Visualization Technique

Geoffrey Elliott, A. Elghorori, L. Tortarolo
Reservoir Engineering and Simulation Methods
article

Enhancing Deepwater Reservoir Identification in the Lagzira Offshore License using Novel Spatiotemporal Visualization Technique

Geoffrey Elliott, A. Elghorori, L. Tortarolo
article en

Abstract

Summary This study analyzes newly merged 3D PSDM seismic data in the Lagzira Offshore license, located in the Tarfaya-Ifni Basin, offshore Morocco. By leveraging Relative Geological Time (RGT) analysis and a cutting-edge depth-based RGB blending approach, interpreters can efficiently visualize and map deepwater clastic systems within the post-rift Cretaceous. Unlike conventional RMS amplitude methods—which rely on fixed sampling windows—this color blending technique offers real-time flexibility to capture depositional features in thicker sediment packages. The resulting images honor geological morphology, enabling detailed mapping of channel elements at varying depths and revealing new stacked targets. Furthermore, the method addresses disadvantages of spectral decomposition, including the need for expert-driven frequency parameterization and extensive computation time. This approach de-risks potential reservoir presence by highlighting amplitude anomalies within thick Cretaceous intervals. The newly identified leads, supported by amplitude-based stratigraphic indicators, overlie the Jurassic SM-1 discovery, where oil was previously recovered. Overall, this workflow improves reservoir delineation in complex slope environments and provides a fast, accurate, and consistent means to integrate seismic geomorphology into prospect evaluation.

Life below water
Openalex Percentile: Top 86%
Reservoir Engineering and Simulation Methods
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Enhancing Deepwater Reservoir Identification in the Lagzira Offshore License using Novel Spatiotemporal Visualization Technique — Geoffrey Elliott, A. Elghorori, et al. · (2025) | TGRS Research Map | TGRS