At the early stage of the petroleum industry’s development,oil and gas pipe networks in China were generally monopolized by large state-owned enterprises.In the context of pipe network system reform,the independent operation of pipeline facilities is being gradually promoted.With the establishment of the national pipe networks company(Pipe China),the traditional sales model of integrated midstream and upstream bundles has been transformed.As a prerequisite for the fair opening of oil and gas pipe network infrastructure,the pipe network company need to regularly disclose the remaining pipeline transportation capacity to the society based on the remaining pipeline transportation capacity and provide detailed pipe network facilities information and undifferentiated services to intended users.Accurate calculation of the remaining capacity of pipelines has become a challenge in the process of pipe network fair opening.This paper aims to study the remaining capacity of multi-product pipelines under the fair opening,discuss and determine the method for calculating the remaining capacity,and provide technical support and decision-making suggestions for the fair opening of multi-product pipelines.Before providing pipeline transportation services to third-party users,the pipeline company should give priority to satisfying the consignment plan of long-term shippers.Therefore,a pre-scheduling model is established to meet long-term shippers’ transportation demand.Combining multi-product pipelines’ characteristics of delivering multiple batches at the same time,this paper proposes a method to calculate the remaining capacity based on the scheduling model.Taking into account constraints such as batch injection,batch migration and batch distribution,a model for solving its remaining capacity based on discrete time expression is established with the objective of maximizing the remaining capacity.The model helps to maximize the pipeline operation efficiency on the fundamental of satisfying various operational constraints.In addition,due to the different remaining capacity information required by the pipe network company and users,separate remaining capacity calculation models are established.When the demand of downstream users increases,the remaining capacity of the pipeline may not meet the demand of all users,and the phenomenon of pipeline congestion may occur.To address this problem,this paper proposes a remaining capacity negotiation model to provide the pipe network company with an optimal remaining capacity allocation scheme.This paper analyzed the content of third-party access to oil and gas pipeline facilities in China and put forward a calculation method for remaining capacity.The remaining capacity of the multi-product pipeline network is the most basic information provided by pipeline network companies for the access of third-party users,which determines the ability of pipeline network facilities’ fair opening.The proposed remaining capacity estimation model can effectively fill the gaps in current research,provide reliable support for the future remaining capacity trading system in China,improve the efficiency of oil and gas resources allocation and guarantee national energy security.In this way,the pipeline company will promote the formation of an oil and gas market system in which upstream oil and gas resources are supplied by multiple entities and through multiple channels,centralized pipelines for efficient gathering and transportation in the middle,and full competition in downstream markets.In this paper,the pre-scheduling model for long-term shippers,the remaining capacity calculation model and the negotiation model are applied to the Beihai-Dali multiproduct pipeline system.The application results show that models established in this paper can efficiently formulate pipeline schedules,obtain detailed remaining capacity information and optimal negotiation plans,which verifies the applicability of the models.The remaining capacity information provide solid foundation and reliable data support for the fair opening and the trading system for remaining capacity. |