monitoring

This paper sheds light on newer frontiers of tracer applications with unconventional uses to gain flow insights from an oil and gas reservoir.

This paper presents a comprehensive technical review of applications of distributed acoustic sensing.

The authors of this paper describe a technology built on a causation-based artificial intelligence framework designed to forewarn complex, hard-to-detect state changes in chemical, biological, and geological systems.

The venture will deploy Eni's real-time, pipeline-integrity monitoring system.

This paper presents an intelligent tube solution that combines data retrieved by the sensors with the actual resistance of each pipe in the well to allow adjustment of production parameters while ensuring installation safety.

The Swiss-based company Hydromea announced advances in underwater optical modem technology and development of an underwater monitoring system capable of daily data sweeps remotely.

In Part 2 of a series of articles, the author focuses on generating a connection between the problem types and various methods of trying to solve these problems.

This paper presents an artificial intelligence algorithm called dual heuristic dynamic programming that can be used to solve petroleum optimization-control problems.

In Part 1 of a series of articles, the author highlights candidate selection and problem clarification. This section describes how the success rate of solving conformance problems is improved by reducing assumptions and improving your problem understanding prior to executing a solution.

This paper presents a proposed condition indicator that estimates the wear experienced by an all-metal progressing cavity pump at any point in operation and takes into consideration the effects of downhole operating conditions.