Artificial Intelligence Algorithm with Geological Constraints Establishes Element Porosity Relationship

This article focuses on the application of artificial intelligence algorithms with geological constraints to establish a high-precision relationship model between geological elements and porosity. This algorithm integrates geological theory and artificial intelligence techniques, incorporating geological constraints into data analysis and model construction. The predicted porosity obtained through this multiple regression model fits well with the measured porosity, and the geological interpretation is reasonable and consistent with reservoir characteristics. Overall, it is believed that artificial intelligence algorithms with geological constraints can accurately predict the size of reservoir porosity, especially in the study of low resistance reservoir performance, which has certain advantages. This innovative method not only improves the efficiency of geological data analysis but also ensures the geological rationality and practical application value of research results, which has certain significance for promoting the intelligent development of oil and gas exploration and development.