World Leader in Refining Reduces Planning Run Times from Hours to Minutes and Achieves the Most Profitable Solutions
公司规模
1,000+
地区
- Asia
产品
- Aspen PIMS-AO
技术栈
- Parallel Processing
- Global Optimization
实施规模
- Enterprise-wide Deployment
影响指标
- Cost Savings
- Productivity Improvements
技术
- 分析与建模 - 预测分析
适用行业
- 石油和天然气
适用功能
- 流程制造
用例
- 预测性维护
- 过程控制与优化
服务
- 云规划/设计/实施服务
关于客户
The customer is a leading Asian refining company that owns and operates some of the largest refinery complexes in the world. The company is ranked in the top 125 on the Fortune Global 500 list and is present in many business sectors, including textiles, science and technology, energy and more. The company’s manufacturing division is the world’s largest refining hub. It has transformed their country from being a net importer of petroleum products to a net exporter, thereby ensuring the nation’s energy security. With a crude processing capacity of over 700 thousand barrels per day (BPD), efficiency and profitable operations are critical.
挑战
The company, a leading Asian refining company, was facing challenges in reducing planning run times while increasing solution quality. They wanted to gain time to explore complex, multiple price and operation scenarios and eliminate the occurrence of local optima. The company also wanted to increase internal customer satisfaction through faster response times to different business processes and have the ability to capture and explore more opportunities. The decision to expand the use of Aspen PIMS-AO was due to the recently enhanced global optimization capabilities with the new Aspen PIMS-AO V8.7 algorithm and the intention to explore the parallel processing feature for the maximum business impact.
解决方案
The company adopted Aspen PIMS-AO in 2008 due to its superior optimization capabilities. The parallel processing capability of Aspen PIMS-AO, combined with global optimization, exceeded desired results with the expanded use of the software. The company developed a work process to eliminate the occurrence of local optima by generating an optimized input solution and running the case stack varying the “epsilon” parameter. They tested several high-performance server machines to establish the optimal number of CPU cores and discovered that the optimal number of cores is 40. The company has successfully reduced their planning run times from 30 hours to 90 minutes with Aspen PIMS-AO, making the process 95% faster.
运营影响
数量效益
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