Geological Stratification Technology Based on Artificial Intelligence Algorithms and Its Application Effects
Geological stratification is the foundation of geological research.In the actual work,geological personnel carry out a large number of well stratigraphic divisions,which requires a large amount of work.Moreover,there are significant differences in stratification among different geological researchers,and the stratification results are unstable.Based on the characteristics of geological stratification tasks,three big data analysis algorithms,convolutional neural network,convolutional neural network focusing on hierarchical boundaries and mask autoencoder,are compared,and the mask autoencoder algorithm is selected for geological modeling.Based on the particularity of geological stratification tasks and geological structures,conditional random fields are added to constrain the layer order,and the mask autoencoder algorithm is further optimized.Taking the block A and B in XX oilfield as research demonstration areas,formation division samples are established and geological stratification models are established to realize the division of the entire well section of the second level strata and fine division of the third level small layers.Good prediction results are achieved,and exploration and evaluation wells are used to predict development wells.This technology can effectively solve the problem of stability in stratification results,and can realize rapid prediction of batch wells.
万方数据
维普
