Application of Artificial Intelligence Large Model Seismic Information Analysis Technology in Northern Slope of Baodao Sag

Baodao 21-1 gas field, the first large-scale gas field in Baodao sag, has been detected. If we want to accelerate the construction of gas fields in this area and ensure immediate production, it is imperative to seek out more favorable potential targets on the north slope and surrounding areas of Baodao sag. From west to East, Baodao B, A, C and other transition fault terraces are developed on the north slope of Baodao sag, controlling the source rocks, reservoirs, traps, and the migration of oil and gas within Baodao sag. Faced with the huge workload and timeliness requirements, traditional manual interpretation methods can no longer meet the current work requirements. This study primarily utilizes artificial intelligence-based large model seismic information analysis technology. It employs a deep convolutional hybrid neural network algorithm, coupled with a large model database, and incorporates manual interpretation label training to predict the stratigraphic framework and favorable reservoirs on the north slope of Baodao sag. Following multiple rounds of deep learning and training, the interpretation scheme and reservoir characteristics align with geological understanding. This technology enhances the precision and efficiency of practical evaluations, thereby making significant contributions to the exploration, development, and well deployment on the north slope and surrounding areas of Baodao sag.