Accurate identification of traps and pinch-outs on a stratigraphic reservoir-A case from Hala’alate Mountain in the Junggar Basin, China
Xinshuai Li, Xuesong Yang, Huilai Wang, Chenlin Wu, Jun Xie, Qiongyao Pu, Xuecai Zhang, Xiaofan Hao, Yan Li
TL;DR
This study improves the identification of stratigraphic reservoirs in the Junggar Basin using seismic and logging data to enhance hydrocarbon exploration.
Contribution
An improved included angle extrapolation method and Poisson’s ratio inversion are introduced for better reservoir prediction.
Findings
The improved method reduces errors in identifying reservoir pinch-out lines using seismic data.
Poisson’s ratio inversion enhances the accuracy of predicting reservoir oil-bearing facies zones.
The study identifies structural lithologic and stratigraphic overlap pinch-out reservoirs in the area.
Abstract
In the investigation of stratigraphic reservoirs, a significant discrepancy frequently exists between the delineation of the formation pinch-out line as traced using the characteristics of seismic wave reflections and the actual location of the formation pinch-out line. This has been the main problem restricting further hydrocarbon exploration and development. In this study, Hala’alate Mountain on the northwestern margin of the Junggar Basin is taken as an example for carrying out the study of stratigraphic reservoirs by integrating logging, drilling, and 3D seismic data. On the one hand, in studies based on the identification of formation pinch-out points using seismic data, the identification error of reservoir pinch-out lines is reduced by the improved included angle extrapolation method by utilizing the half energy attribute. On the other hand, the Poisson’s ratio curve is…
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Taxonomy
TopicsSeismic Imaging and Inversion Techniques · Hydrocarbon exploration and reservoir analysis · Geological formations and processes