Application of Monte-Carlo method to OOIP estimation of an offshore oilfield

  • HOU Jiagen ,
  • TANG Ying ,
  • LIU Yuming ,
  • YANG Yong ,
  • WANG Shaofei
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  • 1. CNOOC Iraq Limited, Beijing 100010, China; 2. CNOOC Research Institute, Beijing 100027, China

Online published: 2014-02-05

Abstract

It is difficult to ascertain every parameter of the OOIP calculation by determination method especially in the initial oilfield development stage because of the limitation of geological data. This paper presented the principle, workflow, and research method of Monte-Carlo method, and analyzed the key points. Taking an offshore oilfield as an example, this paper optimized the best probability distribution model of OOIP calculation parameters through Chisquare test function, determined the high, middle and low values of OOIP parameters by random simulation, and estimated the sensitivity. The applicability of the Monte-Carlo method was discussed finally. The study results show that the Monte-Carlo method is a very effective method to estimate the uncertainty of OOIP based on geological analysis and abundant data sample number, and the method is helpful for estimation of similar oil and gas field in the initial development stage.

Cite this article

HOU Jiagen , TANG Ying , LIU Yuming , YANG Yong , WANG Shaofei . Application of Monte-Carlo method to OOIP estimation of an offshore oilfield[J]. Lithologic Reservoirs, 2014 , 26(1) : 105 -109 . DOI: 10.3969/j.issn.1673-8926.2014.01.017

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