Recognition technology of multiphase flow regime and system development

The recognition of oil-gas-water multiphase flow regime is investigated. Based on multi-sensor data-pressure signal and differential pressure signal, containing sufficient information about the multiphase piping flow, the recognition rule for special flow regime is established by the aid of the signal feature analysis experimental flow parameters. A classifying approach is secondly induced using the learn quantification vector arithmetic to recognize the unknown flow regime. And then the recognition technology is proposed which is a fusion method combining the rule of flow regimes with the classifying approach. The technology has the advantage of good reliability, error-capability, stable performance, and is lack of the strict request for each sensor. The recognition system is developed by means of microprocessor integrating technologies so it has a simple structure without moving device, and can be applied to a not fast transient flow with a measuring error lower than 10 percent. The system also functions such as remaining the original pipe structure, continuous utilizing, real-time print and signal transport.