An intelligent operating system for oilfield processing

摘要

This paper discusses the implementation of an intelligent operating system for oilfield processing. The infrastructure of this intelligent software system, from the database backend to the graphical user interface (GUI) frontend, is examined step by step. Oilfield processing, in general, involves the measurement and analysis of reservoirs, controlling oil or gas production flow through the wellbore, risers and manifolds operation, and wellhead operations, then proceeds to the flare point or transportation out from the production facilities. This paper describes how the system can be applied to upper stream oil and gas production management and forecasting. A Halliburton R5000 desktop for production system (DSP) optimization software system was used for the research discussed in this paper. Several sample workflows were implemented for the proof of concepts. The study results indicate that the selected system met all requirements and proved that an integrated and completed system can reduce human error as well as operating costs. The system is also flexible enough to apply to other industrial applications, such as assembly and manufacturing processes.