The Thin-Bed Reservoir Prediction Based on High-Precision Seismic Inversion

Abstract

Abstract We put forward a high-resolution seismic inversion workflow to improve vertical resolution, making it possible to identify reservoirs within 10m. We employed this workflow in Ordos Basin for delineating tight gas. Our research is based on improving the vertical resolution of the inversion results to a reasonable extent. The new workflow integrates the blue filtering of seismic data, well conditioning, wavelet extracting, geostatistical inversion, and 3D geobody delineation to characterize thin-bed reservoir properties. The quality control approaches for inversion results are presented to improve the accuracy of thin-bed reservoir prediction. The complete workflow is provided and each step is described in detail to permit readers to replicate. The case study is presented for thin-bed reservoir prediction where the quality of seismic data is poor. After the new workflow is carried out, a large number of thin-bed reservoirs with a thickness of less than 10 m can be identified. The distribution of thin-bed reservoirs can be clearly delineated. The predicted result is verified to be consistent with the well data and the lateral distribution of seismic events. Due to the application of this workflow in the Ordos Basin, smaller targets can be delineated, which guides the geoscientists to evaluate the favorable traps in thin-bed reservoirs, and it can also provide a basis for well correlation and oil & gas development.