Sustainable crude oil transportation: design optimization for pipelines considering thermal and hydraulic energy consumption

Abstract The oil and gas industry has paid increasing attention to energy consumption and is taking steps to reduce emissions owing to growing environmental concerns. In this study, a method for designing the optimization of crude oil pipelines is proposed to achieve both construction and energy consumption cost reductions. The method applied in this study is derived from a mathematical programming model with minimal annual construction depreciation cost and energy consumption cost as the objective functions. The model aims to determine the size of the pipeline, as well as the location and operational plan of each station. The hydraulic and thermal calculations, the relationship between viscosity and temperature, and the uncertainty of the flow rate are all included to ensure that the model satisfies all engineering demands. In terms of its application, the constructed model has been applied to two real cases to verify its effectiveness and potential to achieve energy conservation. Moreover, the energy consumption and CO2 emission were estimated and analyzed with varying electricity and fuel prices, as well as varying flow rate. The results demonstrate that the construction plan is not affected by the price of electricity, while fuel prices and flow rates are the main factors influencing both the construction and operational plans.

[1]  Jaime Cerdá,et al.  MINLP model for the detailed scheduling of refined products pipelines with flow rate dependent pumping costs , 2015, Comput. Chem. Eng..

[2]  Balwinder Nimana,et al.  A techno-economic assessment of bitumen and synthetic crude oil transport (SCO) in the Canadian oil sands industry: Oil via rail or pipeline? , 2017 .

[3]  D. Borge-Diez,et al.  Management tool to optimize energy and water consumption in the sanitary-ware industry , 2018, Journal of Cleaner Production.

[4]  Cuong N. N. Tran,et al.  Life-cycle greenhouse-gas emissions assessment: An Australian commercial building perspective , 2018, Journal of Cleaner Production.

[5]  H. Zhang,et al.  Optimal design of an oil pipeline with a large-slope section , 2018, Engineering Optimization.

[6]  K.K.B. Hon,et al.  An optimization approach of selective laser sintering considering energy consumption and material cost , 2018, Journal of Cleaner Production.

[7]  Bohong Wang,et al.  An MILP model for optimal design of multi-period natural gas transmission network , 2018 .

[8]  Dianne E. Wiley,et al.  Optimal pipeline design for CCS projects with anticipated increasing CO2 flow rates , 2014 .

[9]  N. H. Ravindranath,et al.  2006 IPCC Guidelines for National Greenhouse Gas Inventories , 2006 .

[10]  Kris Piessens,et al.  Pipeline design for a least-cost router application for CO2 transport in the CO2 sequestration cycle , 2008 .

[11]  Reijo Karvinen,et al.  Optimal control of pump rotational speed in filling and emptying a reservoir: minimum energy consumption with fixed time , 2016 .

[12]  Prabhata K. Swamee,et al.  Design of a Submarine Oil Pipeline , 1993 .

[13]  Y. Long,et al.  Economic, energy-saving and carbon-abatement potential forecast of multiproduct pipelines: A case study in China , 2019, Journal of Cleaner Production.

[14]  Jing Ma,et al.  An improved PSO method for optimal design of subsea oil pipelines , 2017 .

[15]  Haoran Zhang,et al.  A methodology to restructure a pipeline system for an oilfield in the mid to late stages of development , 2018, Comput. Chem. Eng..

[16]  Gintautas Dundulis,et al.  Development of approach for reliability assessment of pipeline network systems , 2012 .

[17]  Ioannis A. Papazoglou,et al.  Integrated framework for the design of pipeline systems using stochastic optimisation and GIS tools , 2012 .

[18]  Haoran Zhang,et al.  Optimal design of oilfield surface pipeline networks for the cyclic water injection development method , 2018, Journal of Petroleum Science and Engineering.

[19]  S. Hasan,et al.  Corrosion risk-based subsea pipeline design , 2018 .

[20]  Bohong Wang,et al.  Optimisation of a downstream oil supply chain with new pipeline route planning , 2019, Chemical Engineering Research and Design.

[21]  Meihong Wang,et al.  Simulation-based techno-economic evaluation for optimal design of CO 2 transport pipeline network , 2014 .

[22]  Dongya Zhao,et al.  Robust and stepwise optimization design for CO2 pipeline transportation , 2017 .

[23]  Helmi M. Hathoot Minimum‐Cost Design of Pipelines , 1986 .

[24]  Khalid Alkhathlan,et al.  Carbon emissions and oil consumption in Saudi Arabia , 2015 .

[25]  Pierre Hansen,et al.  An Oil Pipeline Design Problem , 2003, Oper. Res..

[26]  Mohamed-Mahmoud Ould Sidi,et al.  Design and dimensioning of hydrogen transmission pipeline networks , 2013, Eur. J. Oper. Res..

[27]  Ioannis A. Papazoglou,et al.  Design of Optimal Pipeline Systems Using Internal Corrosion Models and GIS Tools , 2014 .

[28]  Haoran Zhang,et al.  An MILP model for the reformation of natural gas pipeline networks with hydrogen injection , 2018, International Journal of Hydrogen Energy.

[29]  Byung Suk Lee,et al.  Optimisation of pipeline route in the presence of obstacles based on a least cost path algorithm and laplacian smoothing , 2017 .

[30]  Stefan Stanko,et al.  DEVELOPMENT OF A COMPLEX SYSTEM FOR PIPELINE DESIGN IN SLOVAKIA , 2006 .

[31]  Weijun Gao,et al.  A procedure to design the mainline system in natural gas networks , 2009 .

[32]  Lei Cai,et al.  Study on the thermal characteristics of crude oil batch pipelining with differential outlet temperature and inconstant flow rate , 2018 .

[33]  Wei Sun,et al.  Studies on energy consumption of crude oil pipeline transportation process based on the unavoidable exergy loss rate , 2018, Case Studies in Thermal Engineering.

[34]  Sandro Macchietto,et al.  Enhancing the flexibility of pipeline infrastructure to cope with heavy oils: Incremental thermal retrofit , 2016 .

[35]  Wanwisa Rukthong,et al.  Integration of computational fluid dynamics simulation and statistical factorial experimental design of thick-wall crude oil pipeline with heat loss , 2015, Adv. Eng. Softw..

[36]  R. Srivastava,et al.  Integrating Greenhouse gases (GHG) assessment for low carbon economy path: Live case study of Indian national oil company , 2018, Journal of Cleaner Production.

[37]  Yimin Zhu,et al.  Multi-objective optimization of greenhouse gas emissions in highway construction projects , 2017 .

[38]  Iqbal M. Mujtaba,et al.  Minimisation of fuel energy wastage by improved heat exchanger network design—an industrial case study , 2007 .

[39]  Vedat Verter,et al.  An integrated framework for inventory management and transportation of refined petroleum products: Pipeline or marine? , 2018 .

[40]  Ignacio E. Grossmann,et al.  An MINLP formulation for integrating the operational management of crude oil supply , 2019, Comput. Chem. Eng..

[41]  Lazaros G. Papageorgiou,et al.  Design of hydrogen transmission pipeline networks with hydraulics , 2018 .

[42]  Yongtu Liang,et al.  An MILP method for optimal offshore oilfield gathering system , 2017 .

[43]  Jin-Hua Xu,et al.  Assessment of CO2 emission reduction potentials in the Chinese oil and gas extraction industry: From a technical and cost-effective perspective , 2018, Journal of Cleaner Production.

[44]  Jiandong Tang,et al.  Reliability-based design of subsea light weight pipeline against lateral stability , 2015 .

[45]  Lili Zuo,et al.  Predicting energy consumption of multiproduct pipeline using artificial neural networks , 2014 .

[46]  Bohong Wang,et al.  A unified MILP model for topological structure of production well gathering pipeline network , 2017 .

[47]  Julián M. Ortiz,et al.  A comparison between ACO and Dijkstra algorithms for optimal ore concentrate pipeline routing , 2017 .