Research On Flow Detection Of Oil-sand Phases Based On Acoustic Emission Technology

Flow detection of liquid-solid phases is important for industrial production process, theflow detection mainly includes liquid and solid, among them, the solid detection is morecomplex. In the process of oil production, the flow detection of liquid-solid phases is alsocritical, such as sand production problem in unconsolidated sandstone reservoir developmentincreasingly prominent. To decrease the difficulty of sand production management, tend touse moderate sanding techniques to maximize the benefit of oil wells. Therefore, developmentof oil-sand flow detection for timely and effective prediction and control of sand productionhas important significance.In this paper, through the study of liquid-solid phases characteristics in oil production,then put forward a method of flow detection in oil-sand phases based on acoustic emissiontechnology. On the one hand, the method used ultrasonic to measure the oil phase flow, on theother hand, used acoustic emission sensors to detect sands signal in oil flow, and through thespecialized collection method to analyze signal characteristics, thereby obtained the sand flowinformation.Firstly, paper designed an impact detection component which increased the sand speed,and easier for sensor to receive the impact signal, also an ultrasonic detection component wasdesigned to measure the oil flow, then built the flow detection system of oil-sand phases.Secondly, combining the characteristics of acoustic emission signal in oil-sand phases, asignal processing software had been written which has function of time-frequency andfiltering analysis. Moreover, used numerical simulation to the impact dection component, thenestablished a mass flow model among sand concentration, sand size and oil velocity,simultaneously designed and completed the the laboratory evaluation experiments, alsoestablished an acoustic power model among sand mass, sand size and oil velocity. Finally,comparing experimental and simulation results, an acoustic power model had been built which between sand mass flow and oil flow, then verified the model had good accuracy.Both numerical simulation and laboratory experiment proved that the sand acousticpower had a clear correlation among sand mass, sand size and oil velocity, combining theultrasonic sensor detecting the oil flow, which could be used as an evaluation criteria inoil-sand phases. Therefore, proved the feasibility of the detection system, the study has laid agood foundation for further research and field application in sand production monitoring.