Author :
Al-Naamany, Ahmed M. ; Meribout, Mahmoud ; Al Busaidi, Khamis
Abstract :
In the oil industry, many applications require the measurement of more than one liquid level interface, often in challenging environments. In this paper, a new ultrasonic-based technique has been developed to determine oil, emulsion, and water levels in oil tanks. It consists of a compact and programmable ultrasound-based multilayer level measurement device for which a feed-forward neural network is implemented. The advantages of this method over current methods include contactless distance measurement, higher accuracy, lower cost, simpler setup, and not using ionizing radiation. The other advantage of this technique over light-based methods is its insensitivity to a dusty and smoky environment and independence of the object material and surface. Preliminary experiments have been conducted on the device. In this paper, the design and operating parameters of the device are discussed, and evidence of satisfactory performance is given.
Keywords :
feedforward neural nets; level measurement; oil technology; tanks (containers); ultrasonic measurement; contactless distance measurement; emulsion levels; feedforward neural network; ionizing radiation; liquid level interface; nonradioactive-based machine; oil levels; oil tanks; oil-water interface detection; ultrasonic-based technique; ultrasound-based multilayer level measurement; water levels; Distance measurement; Feedforward neural networks; Feedforward systems; Fuel storage; Level measurement; Multi-layer neural network; Neural networks; Petroleum industry; Ultrasonic imaging; Ultrasonic variables measurement; Emulsion level detection; hardware design; multilayer level measurement (MLLM); neural network; oil tank; ultrasonic device;