The design of decision supporting system in oil production project of oilfield

Yiyong Sui, Qingwang Yuan, Taixiang Peng, Jianlei Yang, Guishan Ren

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The compilation of oil production project of oilfield is a huge and complex decisions making process, which involves multi-properties, multi-objectives problems. Considering the fact that the traditionally empirical methods already couldn't meet the requirements such as scientific, advanced, and economic, we divide the decision making problems in oil production project into two categories: predictable decision making and evaluation decision making. Based on the characteristics of these two types of problems, we design the decision supporting system in oil production project of oilfield, which use B/S model, composing by model base, method base, database, and user interface. This system made full use of the history data of oilfield, improved the value of data, and greatly enriched the decision making methods for oil production project compilation. It also made the decisions more reasonable and improved the quality of project.

Original languageEnglish
Title of host publicationAdvanced Materials and Engineering Materials
Pages974-978
Number of pages5
DOIs
StatePublished - 2012
Event2011 International Conference on Advanced Materials and Engineering Materials, ICAMEM2011 - Shenyang, Liaoning, China
Duration: Nov 22 2011Nov 24 2011

Publication series

NameAdvanced Materials Research
Volume457-458
ISSN (Print)1022-6680

Conference

Conference2011 International Conference on Advanced Materials and Engineering Materials, ICAMEM2011
CountryChina
CityShenyang, Liaoning
Period11/22/1111/24/11

Keywords

  • Decision supporting
  • Design
  • Oil production project

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  • Cite this

    Sui, Y., Yuan, Q., Peng, T., Yang, J., & Ren, G. (2012). The design of decision supporting system in oil production project of oilfield. In Advanced Materials and Engineering Materials (pp. 974-978). (Advanced Materials Research; Vol. 457-458). https://doi.org/10.4028/www.scientific.net/AMR.457-458.974