Possibility of Piezoelectric Sensor to Monitor Onshore Pipeline in Real Time Monitoring

Transportation oil and gas mostly used pipelines transportation. The condition of a pipeline must be continually monitored to ensure that defects do not cause it to fail and operate optimally. Pipeline has the possibility to experience defects during operations such as general corrosion, fatigue, crack, and others. Defects that occur in the pipeline during operation have serious consequences including loss of property, personal injury, or even loss of lives and serious ecological pollution. Awareness of the importance of conducting pipeline monitoring and safety issues for workers and residents around the pipeline site, emphasizes the importance of developing a technology for conducting pipeline monitoring activities in real time. The new technology for detecting metal defects is by using piezoelectric material. Based on laboratory scale, piezoelectric sensor can be applied to monitor pipeline defect. However, it is necessary challenges to scaling up in real application are following: (1) financial investment, (2) human behavior surrounding pipeline area, (3) receiving signal in long distance, (4) protection of piezoelectric sensor, (5) combination survey for future development

Development of a petroleum pipeline monitoring system for characterization of damages using a Fourier transform

Significant damage to the environment and huge economic losses are potential problems caused by leakage from petroleum pipelines. The occurrence of a leakage in a pipeline throughout its lifetime is very difficult to prevent. To minimize environmental damage and high economic losses, an efficient pipeline monitoring system is required to carry out damage characterization thereby enhancing quick response. The signal processing technique of sampling and reconstruction was adopted and mathematical algorithms for the characterization of damages in pipes were developed using the Fourier transform method. These were simulated with the results showing a good agreement between the shapes and magnitudes of the measured original and reconstructed pulses. The simulation was verified with experiments on the test rig. The results showed an underestimation in the magnitudes of the reconstructed pulses in the range of 40 – 45 %. This problem was solved by using a factor K obtained by dividing the maximum amplitude value of the original pressure pulse by that of the reconstructed pulse. Reconstruction of the measured original pulse at a damage location was achieved from combining the measured pulses from two other close locations using the developed Fourier transform based model. Keywords: Damage Pipeline-monitoring Characterization Fourier transform Reconstructio

Multiple Cracks Detection in Pipeline Using Damage Index Matrix Based on Piezoceramic Transducer-Enabled Stress Wave Propagation

Cracks in oil and gas pipelines cause leakage which results in property damage, environmental pollution, and even personal injury or loss of lives. In this paper, an active-sensing approach was conducted to identify the crack damage in pipeline structure using a stress wave propagation approach with piezoceramic transducers. A pipeline segment instrumented with five distributed piezoceramic transducers was used as the testing specimen in this research. Four cracks were artificially cut on the specimen, and each crack had six damage cases corresponding to different crack depths. In this way, cracks at different locations with different damage degrees were simulated. In each damage case, one piezoceramic transducer was used as an actuator to generate a stress wave to propagate along the pipeline specimen, and the other piezoceramic transducers were used as sensors to detect the wave responses. To quantitatively evaluate the crack damage status, a wavelet packet-based damage index matrix was developed. Experimental results show that the proposed method can evaluate the crack severity and estimate the crack location in the pipeline structure based on the proposed damage index matrix. The sensitivity of the proposed method decreases with increasing distance between the crack and the mounted piezoceramic transducers