Application of Seismic Motion Inversion Technology in Thin Reservoir Prediction: An Example of a Thin Sandstone Reservoir in the K Block of the Doseo Basin

Abstract The reservoir in the K block of the Doseo Basin in Chad is characterized by thin layers, rapid lateral variations, and strong heterogeneity. The existing drilling data limitations and uneven spatial distribution have made traditional reservoir prediction techniques inadequate for the high-precision requirements of hydrocarbon exploration and development. In order to tackle this issue, a new study proposes a thin reservoir prediction technology route on the basis of seismic motion inversion technology. This method combines blue filtering technology and seismic motion inversion. Firstly, blue filtering technology processes post-stack seismic data to broaden the frequency band and enhance high-frequency information, improving data resolution for subsequent inversion predictions. Then, Seismic motion inversion technology examines the spatial variation characteristics of seismic waveforms and applies bidirectional constraints on distance. This approach integrates seismic and geological data, improving the accuracy and reliability of reservoir predictions. Finally, sand body carving technology is employed to illustrate the distribution characteristics of sand bodies within different target layers. The research findings indicate that the inversion results are highly consistent with geological sedimentary facies and actual drilling well data, improving the precision of thin reservoir predictions. This approach provides a scientific basis for optimizing well locations and developing effective strategies. Additionally, the technical route adopted in this study could provide a useful reference for predicting thin sandstone reservoirs in other area of the Doseo Basin.