PTQ Q2 2025 Issue

Key intermediate inventory change (10,000 tons)

Name

Opening

Period 1

Period 2

Period 3

Period 4

Period 5

1 2

Hydrocracking tail oil

0 0

0.17

0.17 1.64

0.17 1.71

0.17 2.16

0 0

Naphtha

Table 4

Advantages The GROMS model system is easy to use and converts other LP model systems. It has been used to optimise a large multi-refinery enterprise problem, increasing profit potential by $2 per ton ($0.25/barrel) of crude oil feed vs  Complex models of more than 30 branch companies.  Logistics scheduling optimisation that can quickly estab - lish and solve the MIP model of large-scale crude oil and product logistics.  Pipeline transportation optimisation of natural gas and crude oil. GROMS is currently the only software for planning and scheduling optimisation that adopts MINLP for weight or volume models with or without time optimisation. Solution times are faster, and global optimums are achieved at higher probability levels than other programs, particularly for large enterprise problems. other commercially available programs. Proven optimisation problems include: Jun Yi is the founder and CEO of Galaxy Sky-grand Technology Co., Ltd. Up to now, GROMS has been applied in many refining and chem - ical enterprises of Sinopec, CNOOC, Sinochem, CNPC, and other local refineries and has obtained the certificate of scientific and technologi - cal achievements in China. Email: yijun@gst-info.com Pei Su is a senior expert in modelling with a master’s degree in mathe - matics. Su mainly participated in the design, development and testing of GROMS, and has 15 years of experience in GROMS applications. Proficient in using PIMS, RPMS, GRTMPS, and other optimisation software. Familiar with AI algorithms such as machine learning, deep learning, and neural network. Email: supei@gst-info.com Yonglei Wang is a senior expert in modelling with more than 15 years of experience in applying GROMS. He holds a PMP certification and has led the GROMS technical team to provide technical services to about 60 enterprise users. Email: wangyonglei@gst-info.com Weijun Yang is a professor-level senior engineer at PetroChina (CNPC) and the chief scientist at the Planning Institute of CNPC. After joining Galaxy Sky-grand Technology Co., Ltd, he has presided over many major refining and chemical research projects, such as intelligent refinery and operation optimisation. Jiaxiang Mao is a senior expert in refining optimisation and a profes - sor-level senior engineer at China Petroleum & Chemical Corporation (Sinopec). In 2006, he received the first prize for the Sinopec Science and Technology Progress Award and is a well-known refining optimi - sation expert in the petrochemical industry of China. Ricky Hsu is a marketing consultant with 18 years of experience in technical computing, working for a major international oil company in various locations. He has also focused on bringing technologies and software from North America to Japan, Korea, China, Taiwan, and ASEAN countries. Ricky holds an MS in chemical engineering and an MS in computer sciences from the University of Missouri at Rolla. Email: ricky_hsu@msn.com

The result is a schedule-based production plan defining the optimised month-long schedule of six specific periods where crude mixes most profitably processed, demonstrat - ing GROM’s ability to optimise schedule-based processing. Pipeline transportation optimisation (LP model) Case highlights: GROMS can realise the modelling of logis - tics relationships of complex pipeline networks and can establish a complete logistics flow diagram of the terminal nodes and resource points. The optimisation model of nat - ural gas pipeline transportation optimises the procurement, transportation, and sales of natural gas with the maximum profit for natural gas companies under the constraints of gas supply, customer demand, and pipeline transportation capacity. The model covers business elements, such as multiple gas sources, multiple distribution paths, and multiple con - sumers. It can be solved as a whole or in steps, according to business needs. When the gas supply, enterprise demand, and pipeline transportation distributions are not fixed, the overall optimisation calculation is carried out with maximum profit for the natural gas company as the objective function. When the gas supply and enterprise demand are fixed, the calculation is made with the minimum transportation cost as the objective function. When the pipeline route and enterprise demand are fixed, the minimum procurement cost is the objective function. When the gas source sup - ply and pipeline transportation path are fixed, the objective function is to maximise the sales revenue. The optimised solution provides the most profitable procurement and dis - tribution plans under different scenarios for the enterprise network. Crude oil shipping schedule optimisation (MILP model) Case highlights: GROMS enables large-scale discrete logistics optimisation and deployment. A refining and chemical group company processes a wide variety of crude oil, with a wide distribution area of refiner - ies, many leased ports and docks, prominent bottlenecks in loading and unloading facilities, and a complicated crude oil transportation business. To optimise the shipping schedule by reducing high demurrage charges caused by centralised or unplanned ship arrivals, it is necessary to establish a shipping schedule optimisation model. The shipping schedule optimisation model uses minimum demurrage costs as the objective function and optimises the loading and unloading of crude oil under the constraints of stable offshore crude oil production, enterprise demand, and port restrictions. In this effort, the total ship delays were reduced by 45.5 days for a demurrage cost reduction of 322.975 ten thousand yuan ($461k).

PTQ Q2 2025