Abstract

This paper deals with on line viscosity measurements using integrated circuit technology, and is building on a previous paper on the use radio frequency identifier (RFID) technology for determining dielectric coefficients. It is asserted that the progress in RFID technology and integrated circuits, in particular in micro–electro–mechanical system (MEMS) makes it possible to combine them to perform physico-chemical property measurements using devices on centimeter scale. It can even be expected that these devices can be made increasingly smaller. An important property of interest is the viscosity, in this specific case, for the use of Arabic gum in enhanced oil recovery. Arabic gum, is an environmentally acceptable natural product. Natural-polymer solutions 1000 [ppm] are more viscous and therefore more efficient oil displacement agents. They require less invested exergy than non-viscosified water to recover oil. However, polymers, in particular environmentally acceptable natural-polymers (e.g., Guar–Arabic gum) available in large quantities in India and Sudan, are susceptible to microbial degradation. It is therefore important to monitor its quality at the injection and production side for real-time quality control. Natural-polymers based on plant products are promising EOR agents. They may have a lower environmental footprint because of the biodegradability. To provide a proof of concept, we use a state of the art acoustic wave sensor (AWS), which can determine acoustic viscosities. It is asserted that RFID technology can be used to record the acoustic wave signal (SenGenuity vismart acoustic wave Sensor AWS) to determine the viscosity at some distance (meters) away from the measurement device. A calibration with solutions of known viscosity behavior (i.e., Glycerol) can be used to relate the acoustic viscosity to the dynamic viscosity. We can calibrate the acoustic wave sensor using Guar–Arabic gum solutions to measurements with the Anton Paar viscometer (MCR-302). For the glycerol solution we also compare to reported literature data. The Newtonian viscosity measurements of the Paar density meter, and the literature values agree within a few percent. These favorable comparisons, are an important step in developing a methodology that allows cutting edge RFID-IC technology for real-time non-contact monitoring of viscosity degradation.

Highlights

  • It can be expected that the progress in development of radio frequency identifier (RFID) technology and integrated circuits (IC’s), in particular micro–electro–mechanical system (MEMS) makes it possible to combine them to perform wireless physicochemical property measurements using devices on the centimeter scale

  • The new aspect described in this paper is that it makes the applicability plausible of small acoustic wave sensors (AWS) for real-time viscosity measurement, in combination with cutting edge wireless RFID technology to allow wireless and battery-less real-time monitoring operation of injected and production fluids during enhanced oil recovery (EOR) processes

  • The organization of the paper is as follows: in second section, we describe the state of the art SeGenuity ViSmart R acoustic wave viscosity sensor (AWS), which is a solid-state viscometer based on bulk acoustic wave (BAW) technology

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Summary

Introduction

It can be expected that the progress in development of RFID technology and integrated circuits (IC’s), in particular micro–electro–mechanical system (MEMS) makes it possible to combine them to perform wireless physicochemical property measurements using devices on the centimeter scale. These devices can be made increasingly smaller. The new aspect described in this paper is that it makes the applicability plausible of (relatively) small acoustic wave sensors (AWS) for real-time viscosity measurement, in combination with cutting edge wireless RFID technology to allow wireless and battery-less real-time monitoring operation of injected and production fluids (i.e., environmentally acceptable natural-polymer solutions) during enhanced oil recovery (EOR) processes.

Design and methods
Results and discussion
Conclusions
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