摘要：With the increasing energy requirement and decreasing onshore reserves, offshore oil production has attracted increasing attention. A major challenge in offshore oil production is to minimize both the operational costs and risks; one of the major risks is anomalies in the flows. However, optimization methods to simultaneously consider well operation and flow assurance in operation planning have not been explored. In this paper, an integrated planning problem both considering well operation and flow assurance is reported. In particular, a multi-period mixed integer nonlinear programming (MINLP) model was proposed to minimize the total operation cost, taking into account of well production state, polymer flooding, energy consumption, platform inventory and flow assurance. By solving this integrated model, each well's working state, flow rates and chemicals injection rates can be optimally determined. The proposed model was applied to a case originated from a real-world offshore oil site and the results illustrate the effectiveness.
© 2019

ISSN号：0098-1354

卷、期、页：v 133,

发表日期：2020-01-01

影响因子：0.000000

期刊分区（SCI为中科院分区）：无

收录情况：SCIE（科学引文索引网络版）,EI（工程索引）

发表期刊名称：Computers and Chemical Engineering

参与作者：王树祺,吴明阳,王宇红,陈韬

通讯作者：谢毅

第一作者：高小永,檀朝东,左信

论文类型：期刊论文

论文概要：高小永,谢毅,王树祺,吴明阳,王宇红,檀朝东,左信,陈韬，Offshore oil production planning optimization: An MINLP model considering well operation and flow assurance，Computers and Chemical Engineering，2020，v 133,

论文题目：Offshore oil production planning optimization: An MINLP model considering well operation and flow assurance