This article describes the application of the PIMS software in formulating monthly refining production plan. Application of the PIMS software can help to solve a series of problems related with monthly plan of refinin...This article describes the application of the PIMS software in formulating monthly refining production plan. Application of the PIMS software can help to solve a series of problems related with monthly plan of refining production such as optimized selection of crude and feedstocks, optimized selection of production scale and processing scheme, identification of bottlenecks and their mitigation,optimized selection of turnaround time and optimized selection of operating regime, which have increased the economic benefits of refining enterprises. With the further development and improvement of models the PIMS software will play an increasingly important role in formulating monthly plans of refining operations and production management at refineries. This article also explores the problems existing in refinery monthly planning, and has made recommendations on developing and improving models and reporting system, enhancement of basic data acquisition, model maintenance personnel and staff training.展开更多
Oil product pipelines have features such as transporting multiple materials, ever-changing operating conditions, and synchronism between the oil input plan and the oil offloading plan. In this paper, an optimal model ...Oil product pipelines have features such as transporting multiple materials, ever-changing operating conditions, and synchronism between the oil input plan and the oil offloading plan. In this paper, an optimal model was established for a single-source multi-distribution oil pro- duct pipeline, and scheduling plans were made based on supply. In the model, time node constraints, oil offloading plan constraints, and migration of batch constraints were taken into consideration. The minimum deviation between the demanded oil volumes and the actual offloading volumes was chosen as the objective function, and a linear programming model was established on the basis of known time nodes＇ sequence. The ant colony optimization algo- rithm and simplex method were used to solve the model. The model was applied to a real pipeline and it performed well.展开更多
文摘This article describes the application of the PIMS software in formulating monthly refining production plan. Application of the PIMS software can help to solve a series of problems related with monthly plan of refining production such as optimized selection of crude and feedstocks, optimized selection of production scale and processing scheme, identification of bottlenecks and their mitigation,optimized selection of turnaround time and optimized selection of operating regime, which have increased the economic benefits of refining enterprises. With the further development and improvement of models the PIMS software will play an increasingly important role in formulating monthly plans of refining operations and production management at refineries. This article also explores the problems existing in refinery monthly planning, and has made recommendations on developing and improving models and reporting system, enhancement of basic data acquisition, model maintenance personnel and staff training.
基金part of the Program of"Study on the mechanism of complex heat and mass transfer during batch transport process in products pipelines"funded under the National Natural Science Foundation of China(grant number 51474228)
文摘Oil product pipelines have features such as transporting multiple materials, ever-changing operating conditions, and synchronism between the oil input plan and the oil offloading plan. In this paper, an optimal model was established for a single-source multi-distribution oil pro- duct pipeline, and scheduling plans were made based on supply. In the model, time node constraints, oil offloading plan constraints, and migration of batch constraints were taken into consideration. The minimum deviation between the demanded oil volumes and the actual offloading volumes was chosen as the objective function, and a linear programming model was established on the basis of known time nodes＇ sequence. The ant colony optimization algo- rithm and simplex method were used to solve the model. The model was applied to a real pipeline and it performed well.
