Modelling of upheaval buckling of offshore pipeline buried in clay soil using genetic programming

Abstract Offshore pipeline is generally recognised to be the safest and most economical way to transport oil and gas. These pipelines are operated in elevated temperatures and pressures those are much higher than the ambient conditions. That will causes axial expansion in the pipeline, if such expansion is restrained by soil friction, the compressive force will be built up in the pipe, finally, induces the buried pipeline to buckle in the vertical plane. This paper investigates the effect of uncertainty in soil, operating condition and pipe properties on upheaval buckling behaviour of offshore pipeline buried in clayey soil. To simulate the upheaval buckling, a 2-D finite element model of 500 m long pipeline-seabed soil system was developed in OpenSEES using the thermal element. Using the finite element model prediction of upheaval buckling height, a total number of 12 upheaval buckling height prediction models were proposed by using genetic programming with varying levels of complexity and accuracy. To achieve the best performance model, a scoring table was proposed considering several factors including coefficient of determination, sum of errors, difference between training and testing errors, sum of residuals, deviation of predicted results from experimental one and complexity and generality of the models. Finally, the effect of each parameter on upheaval buckling displacement was studied by parametric analysis and the results were compared by simulated ones. On the basis of the results, most of the models developed using genetic programming show very good prediction with the numerical results. The developed model can be used to improve the design and upheaval bucking risk assessment of buried pipeline.

[1]  M. Finch Upheaval Buckling and Floatation of Rigid Pipelines : The Influence of Recent Geotechnical Research on the Current State of the Art. , 1999 .

[2]  H. Md. Azamathulla,et al.  Genetic Programming to Predict River Pipeline Scour , 2010 .

[3]  Solomon Tesfamariam,et al.  Seismic fragilities of non-ductile reinforced concrete frames with consideration of soil structure interaction , 2012 .

[4]  Bolton,et al.  Upheaval buckling resistance of pipelines buried in clayey backfill , 2008 .

[5]  T. C Maltby,et al.  An investigation into upheaval buckling of buried pipelines—II. Theory and analysis of experimental observations , 1995 .

[6]  Kuala Lumpur,et al.  Offshore Technology Conference , 2014 .

[7]  D. White,et al.  Centrifuge modelling of upheaval buckling in sand , 2001 .

[8]  V. Jothiprakash,et al.  Reservoir Sedimentation Estimation Using Genetic Programming Technique , 2009 .

[9]  Jeong‐Soo Park Optimal Latin-hypercube designs for computer experiments , 1994 .

[10]  John R. Koza,et al.  Genetic programming - on the programming of computers by means of natural selection , 1993, Complex adaptive systems.

[11]  M. Randolph,et al.  The limiting pressure on a circular pile loaded laterally in cohesive soil , 1984 .

[12]  Mohammad Najafzadeh,et al.  Wellhead Choke Performance in Oil Well Pipeline Systems Based on Genetic Programming , 2014 .

[13]  Faris Albermani,et al.  On lateral and upheaval buckling of subsea pipelines , 2013 .

[14]  Jian Jiang,et al.  Modeling of steel frame structures in fire using OpenSees , 2013 .

[15]  Mohammed Sonebi,et al.  Genetic programming based formulation for fresh and hardened properties of self-compacting concrete containing pulverised fuel ash , 2009 .

[16]  Juan R. Rabuñal,et al.  Optimal adjustment of EC-2 shear formulation for concrete elements without web reinforcement using Genetic Programming , 2010 .

[17]  Shuwang Yan,et al.  Finite element analysis on thermal upheaval buckling of submarine burial pipelines with initial imperfection , 2013 .

[18]  Leonardo Vanneschi,et al.  Prediction of high performance concrete strength using Genetic Programming with geometric semantic genetic operators , 2013, Expert Syst. Appl..

[19]  Faris Albermani,et al.  Propagation buckling in deep sub-sea pipelines , 2011 .

[20]  Juan R. Rabuñal,et al.  Optimization of existing equations using a new Genetic Programming algorithm: Application to the shear strength of reinforced concrete beams , 2012, Adv. Eng. Softw..

[21]  Malcolm D. Bolton,et al.  Soil restraint on buckling oil and gas pipelines buried in lumpy clay fill , 2007 .

[22]  H. Md. Azamathulla,et al.  Genetic Programming to Predict Bridge Pier Scour , 2010 .

[23]  Mustafa Gunal,et al.  Genetic Programming Approach for Prediction of Local Scour Downstream of Hydraulic Structures , 2008 .

[24]  Jayantha Kodikara,et al.  Reliability analysis of upheaval bucking of offshore pipelines , 2013 .