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The seismic reflection methods to image the near sub-surface still remains a challenging task due to several factors as the presence of surface waves but also, the high attenuation and heterogeneities of these media. These key points affect significantly the higher frequencies and decrease the expected resolution. In this context, the scientific objective of this study is to develop an adaptive processing flow to improve, in terms of resolution, the potential of sub-surface seismic imaging techniques based on seismic reflection events, for the first 300–400m of the earth’s surface by an experimental approach on real datasets. The study is founded by a consortium of four collaborates: Gustave Eiffel University, CEA, ORANO, TOTALENERGIES within the framework of the Sub-surface seismic reflection (SR2S) project. The seismic data of this project was generated in an experimental research setup using 3-component seismic vibratory source signals along three source lines, which were recorded simultaneously on two parallel oriented 3-component receiver lines (600m each). The dataset was in June 2019 acquired by LIAG and FUGO in the near surface zone of the Tournemire experimental site (Dep. Aveyron, France). This paper covers the pre-processing and the first steps of processing adapted to the vertical component of the dataset.