油气资源评价方法的分类、内涵与外延

Classification, Content and Extension of Evaluation Methods for Oil and Gas Resources

广西师范学院地理科学与规划学院, 广西 南宁 530001 北部湾环境演变与资源利用教育部重点实验室, 广西 南宁 530001

School of Geography and Planning, Guangxi Teachers Education University, Nanning, Guangxi 530001, China Key Laboratory of Environment Change and Resources Use in Beibu Gulf(Guangxi Teachers Education University), Ministry of Education, Nanning, Guangxi 530001, China

根据计算基础、计算方式、计算过程的不同，可将油气资源评价方法分为成因法、统计法、类比法3大类，并且这3类评价方法可进一步细分。通过对不同油气资源评价方法的实质与关键问题分析，认为成因法实质上是一种"模拟法"，不同成因法的计算侧重点有所不同，计算过程可看做"递减"模式；统计法通过分析各种统计数据来计算油气资源量，实质上是一种"数据法"，计算过程可看做"递增"模式；类比法通过与刻度区的相似性来确定预测区中油气资源的富集程度，其计算结果往往会受一些敏感参数的影响，实质上是一种"主观认识法"，计算过程可看做"中值"模式。对不同评价对象与不同勘探程度地区需要选择适用的评价方法，以提高可靠程度。本文还讨论了一种新的资源量结果综合法，即结果区间法，可更直观地分析资源量计算结果的分布范围，提高最终结果的准确度。

According to differences in calculation principles, modes and processes, evaluation methods for oil and gas resources can be classified into three major categories, namely genetic methods, statistical methods, and analogical methods. These three types of methods can be further divided into subcategories. By studying the nature and the key problems of different evaluation methods for oil and gas resources, it is believed that genetic methods can be considered "simulation methods" in nature. Each genetic method has its own computing focus and calculations can be viewed as a "gradually decreasing" mode. Meanwhile, statistical methods estimate oil and gas resources through analyzing data, so they can be called "data methods". Their calculation processes can be viewed as a "gradual increasing" mode. Lastly, analogical methods determine the degree of enrichment of oil and gas resources in the prediction area based on the area's similarity with respect to a calibration area. The calculation results are often influenced by some sensitive parameters. These methods are "subjective cognition methods" and their calculation processes can be viewed as a "median". Some suitable evaluation methods must be selected in order to enhance reliability in different evaluation or exploration areas. This paper also discusses a new way to integrate resource amounts. This interval method can be used to more intuitively analyze resource coverage and enhance the accuracy of the final results.

10.11885/j.issn.1674-5086.2018.03.16.01