Development of automation tools for the seismic data quality control in an interpretive support of data processing

Introduction. The aim of seismic exploration is to build a depth-velocity geological model based on the joint interpretation of seismic and well data. Seismic exploration provides uniform coverage of the studied area, and borehole data provide more complete and accurate information about the studied section at a discrete set of points (well locations). The results of the main stages of seismic data processing undergo quality control during interpretation support (ISO). The supporting task is to quickly carry out quality control (QC) at different stages of processing, starting from the earliest. Early detection of possible errors and selection of the optimal parameters of the procedures ensures high quality materials at the end of the processing stage. Seismic interpretation relies on the use of well data in conjunction with the seismic data and various attributes within a single interpretation package. At the same time, seismic processing and interpretation are historically separated by different software packages. Methods. The aim of the work was to create software tools that facilitate the interaction between processing and interpretation. The developed tools should: 1) include the functionality of interpretation packages necessary for interpretation support various stages of processing, 2) be able to access seismic data directly from the software for processing. Results and discussion. Successful testing of the created software tools showed the possibility of performing the necessary analysis without using specialized interpretation packages. The implemented software packages generate a report with QC metrics and figures, which the interpreter can view and make conclusions about the current stage of the processing.

seismic data quality control, interpretive support of data processing, clusterization

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