Automated Failure Detection Workflow for Electrical Submersible Pump Surveillance

Abstract: The generation of a framework often remains as a mystery of software consultants. The strong interconnections of parameters to their roots present a permanent problem to many companies. Also the question of how simplified a complex process can be without losing correspondence to reality and the quality check of the resulting statements are issues to be dealed. This thesis describes the whole process of a framework generation in a step-by-step navigation. Starting with the gathering of information, glancing the principles of knowledge management and ending with the testing of the framework, all important design phases are discussed. A surveillance framework for parameter analysis and failure detection for electrical submersible pumps (ESP) in oilfield applications is created as an example for a framework design. With specialised engineers for the subjects mechanical engineering, petroleum production engineering and software engineering the design of a program is facilitated. An economic assessment judges on the economic impact of a surveillance program. Assets and limitations of automated analysis are discussed as well as the basic prerequisites for a proper and reasonable development and the fundamental learning effect.