Application of SBM-DEA model in comprehensive quantitative evaluation of reservoir

Zhu Zhaoqun; Qu Lili; Li Dan; Lin Chengyan; Wu Fuzhu; Yang Ling; Sun Mingxiang; Ming Hongxia

doi:10.19509/j.cnki.dzkq.2021.0110

Volume 40 Issue 1

Jan. 2021

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Article Navigation > Bulletin of Geological Science and Technology > 2021 > 40(1): 152-158

Zhu Zhaoqun, Qu Lili, Li Dan, Lin Chengyan, Wu Fuzhu, Yang Ling, Sun Mingxiang, Ming Hongxia. Application of SBM-DEA model in comprehensive quantitative evaluation of reservoir[J]. Bulletin of Geological Science and Technology, 2021, 40(1): 152-158. doi: 10.19509/j.cnki.dzkq.2021.0110

Citation:

Zhu Zhaoqun, Qu Lili, Li Dan, Lin Chengyan, Wu Fuzhu, Yang Ling, Sun Mingxiang, Ming Hongxia. Application of SBM-DEA model in comprehensive quantitative evaluation of reservoir[J]. Bulletin of Geological Science and Technology, 2021, 40(1): 152-158. doi: 10.19509/j.cnki.dzkq.2021.0110

Citation:

Zhu Zhaoqun, Qu Lili, Li Dan, Lin Chengyan, Wu Fuzhu, Yang Ling, Sun Mingxiang, Ming Hongxia. Application of SBM-DEA model in comprehensive quantitative evaluation of reservoir[J]. Bulletin of Geological Science and Technology, 2021, 40(1): 152-158. doi: 10.19509/j.cnki.dzkq.2021.0110

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Application of SBM-DEA model in comprehensive quantitative evaluation of reservoir

doi: 10.19509/j.cnki.dzkq.2021.0110

Zhu Zhaoqun^{1a, 1b
,},
Qu Lili^{2
,
,},
Li Dan^{1a, 1b},
Lin Chengyan³,
Wu Fuzhu^{1a, 1b},
Yang Ling^1a,
Sun Mingxiang^1a,
Ming Hongxia⁴

Received Date: 20 Feb 2020

Abstract

Abstract

Aiming at the problems of strong subjectivity, complicated calculation procedures and inadequate analysis in traditional reservoir evaluation, the application of the Slack Based Measure model of Data Envelopment Analysis (SBM-DEA model) in comprehensive quantitative evaluation of reservoir was discussed.It is shown that this model has the following advantages:① It could take into account of both the positive and negative related indicators, and is more objective that there is no need to determine the evaluation criterion and index weights by subjective analysis in advance; ②Taking the linear programming as the tool, it could simplify the calculation procedure that it does not have to standardize the evaluation indexes; ③ The evaluation result is between 0-1 naturally, and it can be not only used for sorting and classification of evaluation units, but also providing the reason that units are not efficient as well as the suggestion on how to improve them.The new method was applied in early low-permeability gas reservoir evaluation on the lower section of the eighth member of Shihezi Formation(Middle Permain) in SuX region of Sulige gasfield.Four types of reservoir are classified in the study area and the type Ⅰ and Ⅱ would be the favorable targets.The new evaluation results obtained generally accorded with the traditional fuzzy comprehensive reservoir evaluation results, and showed good consistence with practical field production and geological knowledge.At the same time, the main advice on insufficiency and improvements for this case was given.It is proved that this evaluation method is reliable and practical in application, and provides new thought for similarly effective and objective reservoir evaluation as well.
- reservoir evaluation,
- data envelopment analysis,
- SBM-DEA model,
- low-permeability reservoir,
- Sulige Gasfield

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References(28)

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