Hybrid Monitoring of Offshore Compression Systems

Abstract In this work a hybrid methodology based on statistical approach and phenomenological modeling was developed aiming the monitoring of the performance of compression equipment in an offshore oil platform. A rigorous model was employed in order to estimate thermodynamic based values of the performance of the compression system, given by the polytropic efficiency and head. Residuals were generated by comparing the model values with the ones which were calculated from manufacturer's curves using process data (suction and discharge pressures and temperatures, turbine rotation and suction flow). Even though the monitoring technique developed is essentially multivariable and dynamic, the results are displayed using typical univariate process control charts, providing a friendly interface for the operator and allowing the clear detection of process faults.

[1]  Ying Peng,et al.  Current status of machine prognostics in condition-based maintenance: a review , 2010 .

[2]  Fred Spiring,et al.  Introduction to Statistical Quality Control , 2007, Technometrics.

[3]  Michael J. Roemer,et al.  A Prognostic Modeling Approach for Predicting Recurring Maintenance for Shipboard Propulsion Systems , 2001 .

[4]  Raghunathan Rengaswamy,et al.  A review of process fault detection and diagnosis: Part II: Qualitative models and search strategies , 2003, Comput. Chem. Eng..

[5]  Raghunathan Rengaswamy,et al.  A review of process fault detection and diagnosis: Part I: Quantitative model-based methods , 2003, Comput. Chem. Eng..

[6]  Rajagopalan Srinivasan,et al.  Multi-model based process condition monitoring of offshore oil and gas production process , 2010 .

[7]  Daniel R. Lewin,et al.  Process Monitoring Using Model-Based PCA , 1998 .

[8]  A. R. Crathorne,et al.  Economic Control of Quality of Manufactured Product. , 1933 .

[9]  Douglas C. Montgomery,et al.  Applied Statistics and Probability for Engineers, Third edition , 1994 .

[10]  E. S. Page.  CONTINUOUS INSPECTION SCHEMES , 1954 .

[11]  María Carmen Carnero.  Selection of diagnostic techniques and instrumentation in a predictive maintenance program. A case study , 2005 .

[12]  S. W. Roberts,et al.  Control Chart Tests Based on Geometric Moving Averages , 2000, Technometrics.

[13]  Melvin Alexander.  Applied Statistics and Probability for Engineers , 1995 .

[14]  Argimiro Resende Secchi,et al.  EMSO: A new environment for modelling, simulation and optimisation , 2003 .

[15]  D. Lewin,et al.  Ethylene compressor monitoring using model-based PCA , 2000 .

[16]  K. K. Botros.  Transient phenomena in compressor stations during surge , 1994 .