摘要
为了提高储层预测精度,综合运用测井解释结论数据,需要将测井解释结论数据转换为岩性敏感曲线数据。而Jason软件对岩性敏感曲线数据格式有严格要求,以前人工利用Excel软件对大量的测井解释结论数据进行数据转换、文件的拆分合并需要较长时间,同时人工转换极易出现错误,需要反复核验,影响工作效率。针对这一问题,对测井解释结论数据转换为岩性敏感曲线数据的方法进行研究,通过Python语言开发软件,实现了快速、批量的数据转换,提高了工作效率。
In order to improve the accuracy of reservoir prediction and comprehensively utilize logging interpretation conclusion data,it is necessary to convert the logging interpretation conclusion data into lithology sensitivity curve data.However,the Jason software has strict requirements for the data format of lithology sensitivity curve data,and manually converting a large amount of logging interpretation conclusion data using Excel software is extremely time-consuming.At the same time,manual conversion is prone to errors and requires repeated verification,which reduces work efficiency.In response to this issue,research is conducted on the method of converting logging interpretation conclusion data into lithology sensitivity curve data.The software is developed using Python language,which achieves fast and batch data conversion and improves work efficiency.
作者
赵笑航
王景德
董一
吴泉全
孙静
冯丽涛
葛厚贶
ZHAO Xiaohang;WANG Jingde;DONG Yi;WU Quanquan;SUN Jing;FENG Litao;GE Houkuang(Daqing Geophysical Exploration Research Institute,BGP Inc.,CNPC,Daqing,Heilongjiang 163712,China;Shanghai Building Property Project Department of China Huayou(Group)Corporation,Shanghai 200122,China)
出处
《石油管材与仪器》
2025年第4期105-109,共5页
Petroleum Tubular Goods & Instruments
关键词
岩性敏感曲线
数据转换
文件拆分
数据替换
批量处理
lithology sensitivity curve
data conversion
splitting file
data replacement
batch processing
