Based on the Optimal Learning Algorithm of Vortex Search, the Prediction of Oil Field Development Index is Studied

Abstract

Abstract Nowadays, with the development of the times, many times we will use high-tech to enrich and facilitate our lives, and as the backbone of our energy system - the oil industry, is no exception. Especially in the current oil field oil storage is insufficient, but also to strictly control oil exploration in the field to ensure the stability of the entire national system. Therefore, in order to strictly control the development forecast of oil fields, this paper uses the optimization learning algorithm based on vortex search to control this. In this paper, with the support of existing technology, sandbox simulation and eddy current algorithm are used to model the future oil field development without disclosing oil field information and actual reserves. The experimental results show that the selection of a suitable algorithm can predict the development index of oil field within a certain range, and the general error rate is not more than 5%.