Applying Machine Learning Methods to Identify Injection Intervals Using DTS Data

Abstract

Summary The problem of determining the intervals of fluid loss in an injection horizontal well is solved. The chosen setting is one of the simplest from the point of view of the ongoing processes. The successful solution of the problem using machine learning methods should show the perspective of the approach for solving more complex problems. The chosen approach to solving the problem involves training models on a synthetic sample obtained using a thermohydrodynamic simulator. The results of the algorithm operation are demonstrated, which can be assessed as successful.