18 PIPELINE TECHNOLOGY JOURNAL RESEARCH / DEVELOPMENT / TECHNOLOGY with success to a wide class of Third-Party Interference phenomena, from illegal digging to impact detection. The system was accurately tested on gas scenario, demonstrat- ing the ability to detect and localize impact events. The e-vpms® system is evolving continuously, to promptly give technological answers to the challenging require- ments of integrated asset integrity in new operative scenarios (i.e. gas transport), the monitoring system based on data-driven machine learning techniques are some of the novel features presented in this paper. Moreover, to achieve new operative scenarios an underwater sensing group has been developed to protect offshore pipelines or assets subjected to swamp inundations. The use of data-driven machine learning techniques on e-vpms® historical and legacy static/dynamic pressure data sets break new ground. The prediction of obstruction/ deposit level in pipeline and the continuous monitoring of health of pumps are two of the main application based on artificial intelligence, which can be used as predictive main- tenance tools by asset operators. The system features, the proven performances of detection and event localization, the wide spectrum of operative scenarios and the novel tools based on machine learning makes the vibroacoustic technology the ideal candidate for supporting the energy company in challenging field of asset integrity manage- ment. References 1. 2. 3. 4. 5. 6. 7. 8. 9. 10. 11. 12. 13. 14. 15. 16. 17. 18. 19. Performance of European cross-country oil pipelines. Statistical summary of reported spillages in 2015 and since 1971 (2017), CONCAWE Report, Brussel, June 2017. Dalmazzone, G. M., De Lorenzo, G., Giunta G., 2016, System and method for the continuous detection of impacts on pipelines for the transportation of fluids, particularly suitable for under- water pipelines, ENI S.p.A, Patent US9267648B2 (2016), EP2483656B1 (2017). Giunta, G., Bernasconi, G., 2017a, Method and system for continuous remote monitoring of the integrity of pressurized pipelines and properties of the fluids transported, Patent EP2936106B1 (2017), US10401254B2 (2019). Giunta, G., Bernasconi, G., 2017b, Method and system for the remote detection of the position of a pig device inside a pressurized pipeline, EP2935969B1 (2017), US9897243B2 (2018). Giunta, G., Bernasconi, G., Del Giudice, S. 2017c, Method and system for the continuous remote tracking of a pig device and detection of anomalies inside a pressurized pipeline, EP294485700B1 (2017), US10132823B2 (2018). Giunta, G., Dionigi, F, Bassan, A., Veneziani, M., Bernasconi, G., Del Giudice, S., Rovetta, D., Schiavon, R., Zanon, F., (2011), Third party interference and leak detection on buried pipelines for reliable transportation of fluids, 10th OMC Conference and Exhibition, Ravenna, Italy. Bernasconi, G., Del Giudice, S., Giunta, G., 2012, Pipeline Acoustic Monitoring, Pipeline Technolo- gy Conference 2012, Hannover, Germany. Giunta, G., Bernasconi, G., Del Giudice, S., 2015, Pipeline Monitoring with Vibroacoustic Sensing, Materials Evaluation, Vol.73 (7), pp. 979-986. Bernasconi, G., Del Giudice, S., Giunta G., Dionigi F. 2013, Advanced pipeline vibroacoustic moni- toring. Pressure Vessels and Piping Division, ASME 2013, Paris; PVP2013-97281. Giunta, G., Timossi P., Borghi G.P., Schiavon R., Bernasconi G., Chiappa F., 2015, Field develop- ment of Eni Vibroacoustic Pipeline Monitoring System (e-vpms™): Long term performance analysis, 13th OMC 2015 Conference and Exhibition, Ravenna, Italy. Bernasconi, G., Giunta G., Chiappa F., 2015, Gas filled pipelines monitoring using multipoint vibroacoustic sensing, Proceedings of the ASME 2015 Ocean, Offshore and Arctic Engineering, St. John’s, OMAE2015-41265. Giro R.A., Bernasconi G., Giunta G., Cesari S., 2021, A data-driven pipeline pressure procedure for remote monitoring of centrifugal pumps, Journal of Petroleum Science and Engineering 205, 108845, Elsevier Giro R.A., Bernasconi G., Giunta G., Cesari S., 2021, Predicting pigging operations in oil pipelines, 16th Pipeline Technology Conference, Berlin, Germany Giunta, G., Morrea, S., Gabbassov, R., Bernasconi, G., S. Del Giudice, S., 2016, Performance of vibroacoustic technology for pipeline leak detection, Proc. ASME. 49965; Volume 5: Pipelines, Risers, and Subsea Systems, V005T04A029, OMAE2016-54181, doi: 10.1115/OMAE2016-54181 Giunta G. 2018, Vibroacoustic Technology for Pipeline Integrity Monitoring: Leak detection performances in relation to theft events, Copex 2018, CONCAWE, Antwerp, Belgium. Marino M., Chiappa F., Giunta G. (2019) Anticipating bunkering events: notable cases evidence using Vibroacoustic Leak Detection Technology to detect precursors, 14th Pipeline Technology Conference, Berlin, Germany Marino M., Chiappa F., Giunta G. (2020) Pipeline integrity assessment applications by using vibroacoustic technology, 15th Pipeline Technology Conference, Berlin, Germany Marino M., Chiappa F., Giunta G. (2020) Versatile technology for Leak Detection, Third Party Interference and Integrity Assessment applications: Vibroacoustics, eJournal PTJ, Pipeline Technology Journal Marino M. Chiappa F., Giunta G (2021) A vibroacoustic integrated technology for the detection of a wide spectrum of illegal activities, 16th Pipeline Technology Conferenze, Berlin, Germany Authors Fabio Chiappa SolAres srl Research Manager fabio.chiappa@e-vpms.com Marco Marino SolAres srl CEO marco.marino@e-vpms.com Silvio Del Giudice SolAres srl Engineer silvio.delgiudice@e-vpms.com Simone Cesari Eni S.p.A R&D Engineering & Construction simone.cesari@eni.com Giuseppe Giunta Eni S.p.A Technical Authority giuseppe.giunta@eni.com