monitoring

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.

The authors of this paper evaluate the effectiveness of production-enhancement activities for a long-string, gas-lifted producer using distributed-temperature-sensing technology.

The authors of this paper write that 4D data are an integral part of a reservoir-management program and, together with geological and production history data, are being used to update reservoir models to further the goals of field development.

The authors of this paper describe the development of a continuous monitoring solution throughout its deployment.

The authors of this paper show the migration of a CO2 plume within a depleted carbonate reservoir and the expected effects of CO2 saturation and pressure buildups during injection on time lapse 4D seismic for conformance monitoring.

Industry leaders are harnessing the power of data to improve efficiencies, eliminate nonproductive time, and reduce Capex.

Chevron assets in Texas and Colorado have earned high marks for control of methane emissions under a pilot program with Project Canary, paving the way for its sale of responsibly sourced gas.