大数据时代的现代测井解释技术探讨  

Discussion on the technology of modern logging interpretation of big data Era

作　　者：邹德江[1] 谢关宝[2] 

机构地区：[1]中国石化石油勘探开发有限公司,北京100029 [2]中国石化石油工程技术研究院

出　　处：《石油地质与工程》2016年第6期51-54,128,共4页Petroleum Geology and Engineering

摘　　要：大数据分析技术已经成为时代变革的力量,国内外一些石油公司及科研院所也开始尝试着在石油勘探开发中使用这种技术。在测井资料解释领域是否可以应用大数据分析技术,以提高测井解释精度与勘探开发效益,是当代测井从业人员值得思考的问题。在分析传统测井资料处理解释技术与大数据分析技术特点的基础上,论述了测井资料处理解释大数据分析面临的挑战与技术难点,同时提出一种基于大数据分析技术的测井资料处理分析方法,并给出了详细实现过程。展望未来,测井从业人员需要从理论、技术、实践三个方面来面对大数据分析技术对传统测井解释技术的挑战。Big data analysis technology has become the power of the times,some domestic and foreign oil companies and scientific research institutes also began to try to use this technology in oil exploration and development.In the field of log data interpretation,it is a problem for the contemporary logging practitioners to improve the accuracy of log interpretation and to improve the efficiency of exploration and development.Based on the analysis of traditional well logging data processing and interpretation technology and big data analysis technical features,the paper discussed the logging data processing and interpretation of big data analysis challenges and technical difficulties,and then put forward a kind of based on the big data analysis of well logging data processing and analysis method.Looking into the future,the logging practitioners need to face the challenge of the traditional log interpretation technology from three aspects,namely theory,technology and practice.

关 键 词：大数据 测井解释 数据驱动 数据挖掘 云计算 

分 类 号：P631.81[天文地球—地质矿产勘探]