Study On Optimization Of Dehydration Process In A Gas Field

With the widespread use of natural gas,the natural gas industry has also developed rapidly.However,the development of natural gas,especially the development of unconventional natural gas,has a large investment,a rapid decline in production,and meager economic benefits.In order to reduce the cost of natural gas production and improve the economic benefits of natural gas development,this paper optimizes the process flow and parameters from the process aspect for the dehydration process to minimize energy consumption and obtain accurate parameter data for the next equipment scheduling The model lays the foundation.Afterwards,aiming at the change of output during the entire life cycle,a mathematical model that can calculate the equipment scheduling plan was established,which reduced the equipment investment and improved the adaptability of the dehydration process.First,in order to address the shortcomings of the existing dehydration methods,reduce dehydration energy consumption,and optimize the dehydration process.For the dehydration method of triethylene glycol,the process flow was modeled using HYSYS software,and then optimized for the existing process flow.Based on the optimized process,the effects of the number of absorption trays,the temperature of the feed gas,the temperature of the reboiler,the amount of triethylene glycol circulation,the amount of stripping gas,etc.on the dehydration depth and energy consumption were studied through the model,and HYSYS was used.The built-in optimizer optimizes the process parameters that affect the total energy consumption,and determines the number of triethylene glycol circulation and stripping gas at the lowest energy consumption.For the molecular sieve dehydration method,the process flow is also optimized and the optimization effect is verified through the HYSYS model.Based on this,the interaction between the process parameters such as the temperature and pressure of the raw material gas,the pressure cycle,the regeneration temperature,and the regeneration gas volume are studied through literature research As well as the influence on the dehydration effect,two optimization suggestions were proposed to adjust the cycle period and increase the regeneration temperature,and the optimization effect was verified by numerical calculation.Through the above optimization,the dehydration effect is optimized and the energy consumption is lowered.The obtained parameter data lay the foundation for the next mathematical modeling.Based on the parameter data obtained above.The MILP model of the skid-mounted dewatering equipment scheduling plan was established with the goal of the largest net present value for many years,and the GAMS mathematical planning platform and silver were used to solve it.Taking three actual gas fields as research objects,the corresponding scheduling plan is solved,and the feasibility of the model and its guiding significance for actual production is verified.In addition,the applicability of the model was studied again through a virtual example.The results show that the greater the output fluctuation of the gas field and the smaller the time interval between block production,the more noticeable the optimization effect of the model.It is very suitable for rapid output decline and short development time interval.The unconventional natural gas field,and 4-5 models of equipment can be utilized to scheduling.