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SBM-DEA模型在储层综合定量评价中的应用
引用本文:朱兆群,曲丽丽,李丹,林承焰,吴复柱,杨玲,孙明翔,明红霞.SBM-DEA模型在储层综合定量评价中的应用[J].地质科技通报,2021,40(1):152-158.
作者姓名:朱兆群  曲丽丽  李丹  林承焰  吴复柱  杨玲  孙明翔  明红霞
作者单位:河北工程大学地球科学与工程学院;河北工程大学河北省煤层气开发利用技术工程实验室;中国石油冀东油田分公司南堡作业区;中国石油大学(华东)地球科学与技术学院;德州学院资源环境与规划学院
基金项目:河北省自然科学基金项目D2017402165河北工程大学创新基金项目SJ010002150
摘    要:针对传统储层评价方法中人为主观性较强、计算过程复杂、结果分析不充分等问题,根据数据包络分析原理,探讨SBM-DEA模型在储层综合定量评价中的应用。实践表明,该模型在储层评价中具有以下优点:①能同时考虑多个正相关和负相关指标,无需事先给定评价标准及指标权重值,避免主观因素影响,具有较强客观性;②以线性规划为工具,无需进行指标无量纲化等数据预处理,有效简化评价过程;③评价结果介于0~1之间,除对评价单元进行排序、分类外,还可以提供评价非有效的原因及可改进信息。将其应用到苏里格气田苏X井区盒8下亚段低渗透气藏早期储层分类评价和刻画中,将研究区储层分为4类,其中Ⅰ,Ⅱ类为有利储层,总体评价结果与传统模糊综合评价结果具有较好对应关系,与气田生产实际及地质认识也基本吻合,并给出了评价实例非有效的主要差距及改进措施,表明该方法在实际应用中具有可信度及可行性,为实现类似高效、客观的储层评价提供了新的思路。

关 键 词:储层评价  数据包络分析  SBM-DEA模型  低渗透储层  苏里格气田
收稿时间:2020-02-20

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.Application of SBM-DEA model in comprehensive quantitative evaluation of reservoir[J].Bulletin of Geological Science and Technology,2021,40(1):152-158.
Authors:Zhu Zhaoqun  Qu Lili  Li Dan  Lin Chengyan  Wu Fuzhu  Yang Ling  Sun Mingxiang  Ming Hongxia
Institution:(School of Earth Science and Engineering,Hebei University of Engineering,Handan Hebei 056038,China;Utilization of Coalbed Methane in Hebei Province Engineering,Hebei University of Engineering,Handan Hebei 056038,China;Nanpu Oilfield Operation District of Jidong Oilfield of CNPC,Tangshan Hebei 063200,China;School of Geosciences,China University of Petroleum(East China),Qingdao Shandong 266580,China;College of Resource,Environment and Planning,Dezhou University,Dezhou Shandong 253023,China)
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. 
Keywords:reservoir evaluation  data envelopment analysis  SBM-DEA model  low-permeability reservoir  Sulige Gasfield
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