Prediction Algorithm of Fracture Opening of Bedrock Lurk Reservoir Based on New Ensemble Learning Algorithm

In today’s rapid development of high technology, the use of scientific and technological means to make the better development of bedrock submerged reservoir reservoir has made a trend, in order to more adapt to the current development, create intelligent bedrock submerged mountain reservoir reservoir, so that the precision level of bedrock submerged mountain reservoir reservoir is improved, and bedrock submerged mountain reservoir reservoir reservoir is followed. In the bedrock reservoir, it is very important to collect, analyze and process the information of the life forms in the bedrock reservoir, so as to achieve the accurate realization of the bedrock reservoir. The digital iterative algorithm cannot accurately collect and analyze the information problems in the bedrock hidden mountain reservoir. Therefore, a new ensemble learning algorithm is proposed to predict and analyze crack opening. Firstly, computer technology is used to collect Internet information, and the indicators are divided according to the requirements of crack opening prediction to reduce the interference factors in crack opening prediction. Then, the computer technology predicts the fracture opening of the bedrock lurk reservoir to form a fracture opening prediction scheme, and comprehensively analyzes the fracture opening prediction results. ANSYS simulation shows that the new ensemble learning algorithm is better than the digital iterative algorithm in predicting fracture opening and reliability of the fracture opening prediction of bedrock lurk reservoir reservoirs under certain evaluation criteria.