Open AccessAlgorithm for estimating the flow rate of an oil producing well based on dynamometer data
Author(s) -
К. Ф. Тагирова,
Alexey Vulfin
Publication year - 2021
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/808/1/012049
Subject(s) - dynamometer , range (aeronautics) , computer science , flow (mathematics) , image (mathematics) , nonlinear system , nonlinear regression , algorithm , artificial intelligence , regression analysis , engineering , mathematics , machine learning , mechanical engineering , physics , geometry , quantum mechanics , aerospace engineering
The paper proposes an algorithm for determining the flow rate of an oil producing well based on dynamometer data. The dynamogram is presented as a two-dimensional image processed using a convolutional neural network that solves the problem of nonlinear regression between the dynamogram image and the flow rate value. The structure of the dynamometer data collection and processing system is presented, the main steps of the data analysis algorithm are described. The resulting model makes it possible to estimate the production rate with an error in the range of 15-20%.