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浏览/检索结果: 共4条，第1-4条 帮助 限定条件 发表日期：2019    专题：中国石油大学（北京）    第一署名单位    第一作者单位    通讯作者单位     已选(0)清除 条数/页：5101520253035404550556065707580859095100   排序方式：请选择作者升序作者降序题名升序题名降序发表日期升序发表日期降序提交时间升序提交时间降序 A Stochastic Linear Programming Method for the Reliable Oil Products Supply Chain System With Hub Disruption 期刊论文 IEEE ACCESS, 2019, 卷号: 7, 页码: 124329-124340 - 收藏  |  浏览/下载：5/0  |  提交时间：2020/01/03 Oil products supply chain system  reliable deign  multiple transportation modes  stochastic hub disruption  demand uncertainty  Monte Carlo sampling   An optimization of artificial neural network modeling methodology for the reliability assessment of corroding natural gas pipelines 期刊论文 JOURNAL OF LOSS PREVENTION IN THE PROCESS INDUSTRIES, 2019, 卷号: 60, 页码: 1-8 - 收藏  |  浏览/下载：4/0  |  提交时间：2020/01/03 Natural gas pipeline reliability  Artificial neural network  Intelligent algorithm optimization  Corroding pipeline  Monte Carlo simulation   Optimal design and operation for supply chain system of multi-state natural gas under uncertainties of demand and purchase price 期刊论文 COMPUTERS & INDUSTRIAL ENGINEERING, 2019, 卷号: 131, 页码: 115-130 - 收藏  |  浏览/下载：5/0  |  提交时间：2020/01/03 Supply chain system  Multi-state natural gas  Optimal design and operation  Uncertainty  Monte Carlo sampling   Tight reservoir oiliness numerical simulation based on a Markov chain Monte Carlo (MCMC) method: A case study of the upper Triassic Yanchang-6 formation (T(3)ch(6) Fm.) outcrop of Ordos Basin 期刊论文 JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2019, 卷号: 175, 页码: 1150-1159 - 收藏  |  浏览/下载：24/0  |  提交时间：2020/01/03 Reservoir oiliness  Fractures  Lithofacies  Bayesian  MCMC