Gas well classification method based on production data characteristic analysis

Scientific and effective classification of gas well is beneficial to figure out its production situations and clarify its production characteristics, so as to specifically prepare single-well fine management strategies. In order to further guide the implementation of gas well management strategies and improve the efficiency of gas well classification, this paper took the production situation evaluation and management strategy preparation of gas well as the beginning point to establish a gas well classification method based on production data analysis by introducing linear discriminant analysis algorithm (LDA), based on abundant production data of gas wells. In this method, two classification items of drainage capacity and liquid producing intensity are adopted to describe gas well types. Based on the easily accessible production data, data characteristics are analyzed, evaluation indexes of two classification items are put forward, and the characteristic index system of gas well classification is established. The gas well analysis sample set with prior classification result is constructed based on a large amount of gas well production data and management experience. LDA algorithm is introduced to mine and process the analysis sample data, so as to realize the dimension reduction processing of initial high-dimensional data of analysis samples and recognize the distribution of analysis samples in the new low-dimensional subspace. Finally, the boundary of gas well classification is determined based on the distribution characteristics of various analysis samples in the low-dimensional subspace, and multi-index gas well classification based on production data analysis is completed. Twenty evaluation samples beyond the analysis samples were selected and classified to verify the performance of the classification method, and the classification result is in line with the practical field recognition. In conclusion, based on the analysis and mining of field production data, this method can realize instant and efficient gas well classification while providing specific guidance for the preparation of gas well management strategies, providing a new way of thinking for gas well classification, and playing a certain role in guiding gas well classification.