Abstract: The present disclosure relates to a method for predicting an amount of water-sealed gas in a high-sulfur water-bearing gas reservoir. The method solves the problem that no method has yet been proposed for predicting the amount of water-sealed gas in a high-sulfur water-bearing gas reservoir. According to the technical solution, the method includes: considering that the volume of the gas reservoir does not change during the production of the constant-volume gas reservoir, deriving, based on a material balance method, a material balance equation of the high-sulfur water-bearing gas reservoir in consideration of water-sealed gas and water-soluble gas, solving and drawing a chart of water-sealed gas in the high-sulfur water-bearing gas reservoir by an iterative algorithm, obtaining a recovery factor of the high-sulfur water-bearing gas reservoir in consideration of water-sealed gas and water-soluble gas, and further obtaining the amount of water-seal gas in the high-sulfur water-bearing gas reservoir.

Abstract: Implementations are directed to identifying potential churn of a user of one or more computer-implemented systems provided by an enterprise. In some examples, actions include identifying potential churn of providing a plurality of event profiles based on historical data, each event profile being representative of interactions of users with the enterprise and corresponding to churn of the users, at least one event profile being representative of an interaction of users with the one or more computer-implemented services, providing a pulse of the user at least partially based on historical data associated with the user, and one or more event profiles of the plurality of event profiles, and determining that the user is at-risk of churn based on the pulse of the user and a risk index value, and in response, displaying an indication that the user is at-risk of churn in a graphical user interface.

Abstract: Implementations are directed to identifying potential churn of a user of one or more computer-implemented systems provided by an enterprise. In some examples, actions include identifying potential churn of providing a plurality of event profiles based on historical data, each event profile being representative of interactions of users with the enterprise and corresponding to churn of the users, at least one event profile being representative of an interaction of users with the one or more computer-implemented services, providing a pulse of the user at least partially based on historical data associated with the user, and one or more event profiles of the plurality of event profiles, and determining that the user is at-risk of churn based on the pulse of the user and a risk index value, and in response, displaying an indication that the user is at-risk of churn in a graphical user interface.