Improving the Reliability of Oil Characteristic Measurements by a Proton Magnetic Resonance Relaxometer as Part of a Flow-through Analyzer

Abstract

The current tasks of monitoring and diagnostics of equipment for optimal management of oil production and oil treatment are discussed. To solve these problems, it is necessary to create a fleet of reliable measuring instruments based on automated software and measurement systems (SMS) with diagnostics of measuring equipment without stopping its operation. The formation of a common fleet of measuring instruments can be performed on the basis of a proton magnetic resonance (PMR) relaxometer as part of a rapid flow PMR analyzer, combining in one device the possibilities of self-diagnosis, measurement of many oil parameters and effective control of wells and equipment. Methods of selfdiagnosis of relaxation meter elements and SMS blocks based on relaxation parameters of PMR affected by additive and multiplicative noise are presented. Algorithms and programs for self-diagnosis of analyzer elements and blocks have been developed, as well as methods for measuring oil characteristics, including such an important parameter as total sulfur content, which negatively affects oil quality and equipment safety. Methods and algorithms for diagnostics of its elements without stopping the equipment for noise analysis and deviation of individual parameters of PMR sensors are proposed.