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低勘探程度区域油气资源评价方法
引用本文:郭建宇,张大林,邓宏文,汪明峰,李长宏.低勘探程度区域油气资源评价方法[J].油气地质与采收率,2006,13(6):43-45.
作者姓名:郭建宇  张大林  邓宏文  汪明峰  李长宏
作者单位:1. 中国地质大学(北京)能源学院,北京,100083
2. 中国地质大学(北京)地球科学与资源学院,北京,100083
3. 中国石油大庆油田分公司,采油三厂,黑龙江,大庆,163453
4. 中国石油大庆油田分公司,采油二厂,黑龙江,大庆,163453
摘    要:目前中国油气资源勘探和开发面临后备可采储量不足,低勘探程度区域受到重视。为了提高低勘探程度区域的资源评价精度,在前人评价的基础上,通过研究并利用勘探程度较高区域的资源评价结果,求准低勘探程度区域的油气聚集量,进而模拟求出其烃排聚系数、储量密度系数、单储系数和单生系数等关键参数,提出了利用练台地质推断法对低勘探程度区域进行评价,并对该方法评价的风险进行了分析。综合地质推断法的成果更能准确反映一个盆地、坳(凹)陷或区带的油气潜力及其分布特征。

关 键 词:资源评价  低勘探程度区域  综合地质推断法  风险
文章编号:1009-9603(2006)06-0043-03
收稿时间:2006-08-23
修稿时间:2006-10-11

Resource assessment methodology of oil and gas in the areas of low-degree prospecting
Guo Jianyu,Zhang Dalin,Deng Hongwen et al.Guo Jianyu,Faculty of Energy Sciences,University of Geosci-ences,Beijing City,China.Resource assessment methodology of oil and gas in the areas of low-degree prospecting[J].Petroleum Geology and Recovery Efficiency,2006,13(6):43-45.
Authors:Guo Jianyu  Zhang Dalin  Deng Hongwen Guo Jianyu  Faculty of Energy Sciences  University of Geosci-ences  Beijing City    China
Affiliation:Guo Jianyu,Zhang Dalin,Deng Hongwen et al.Guo Jianyu,Faculty of Energy Sciences,University of Geosci-ences,Beijing City,100083,China
Abstract:At present, the areas of low degree of prospecting are paid much attention to for insufficient recoverable backup reserves during exploration and development of oil-gas resources. In order to improve the accuracy of resource assessment of the areas of low-degree prospecting, the quantity of hydrocarbon accumulation in the areas of low-degree prospecting will be calculated accurately according to the resource assessment results in the areas of high-degree prospecting based on the previous assessment. Some key parameters are simulated, such as hydrocarbon expulsion-accumulation factor, reserve density factor, unit reserve factor and some others. Generalized geologic inference method has been improved to evaluate the resources in the areas of low-degree prospecting, and risk in the method is analyzed. The outcome in the generalized geologic inference method can more accurately reflect oil & gas potentiality and its distribution characteristics of a basin or a depression ( sag).
Keywords:resource assessment  area of low degree of prospecting  information  method  risk
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