Digital Twin-based Temperature Field Analysis of Fused Multi-source Data from Natural Gas Wells
The wellbore temperature field is an important parameter for assessing the service safety of natural gas wells,and its variation directly affects the integrity of the wellbore.Since the production process of natural gas wells is accompanied by complex temperature variations,it is difficult to obtain accurate numerical simulation results for the analysis of the evolution of the full wellbore temperature field.Based on the digital twin model of natural gas wells,the heat transfer model of the fluid in the wellbore and the time-varying unsteady stratum and the radial transfer model of the fluid temperature field in the wellbore are established,and then a fusion method of multi-source data from downhole monitoring and numerical simulation is proposed,which establishes a coupled solution model of temperature collection data and numerical calculation of temperature for an arbitrary number and location of measurement points downhole and achieves high accuracy of the whole wellbore temperature field under the condition of limited monitoring data.Under the condition of limited monitoring data,high-precision temperature field evolution analysis of the whole wellbore is achieved.The multi-source data fusion method effectively improves the accuracy of the temperature field prediction of the whole wellbore,provides a reliable analysis method for wellbore integrity assessment under the condition of limited data,and provides technical support for the efficient and safe operation of natural gas wells.
digital twintemperature field simulationmulti-source data fusionwellbore heat transfernatural gas well
万方数据
维普
