石油地质与工程2025，Vol.39Issue(4)：57-64,8.
基于煤储层分类的含气量预测方法研究
Research on gas content prediction method based on coal reservoir classification:a case study of Baijiahai Block
朱同 1谢非 2白云思雨 3王赐勋3
作者信息
- 1. 陕西地矿物化探队有限公司,陕西西安,710065
- 2. 中国石油青海油田分公司,青海海西,817000
- 3. 西安石油大学地球科学与工程学院,陕西西安 710065||西安石油大学陕西省油气成藏地质学重点实验室,陕西西安 710065
- 折叠
摘要
Abstract
To solve the problem of the logging evaluation technology and accuracy of coalbed gas content cannot meet the growing exploration and development needs,a study on gas content prediction methods based on coal reservoir classification was carried out taking the Baijiahai block as an example.First,by op-timizing the sensitive parameters of coal reservoirs,a coal reservoir type division index was constructed to classify coal reservoirs.Then,using logging data and coal core gas content analysis data,sensitive parame-ters for gas content were optimized under different coal reservoir types.Finally,based on the optimized log-ging parameters,a mathematical method of multiple linear regression was used to construct a logging predic-tion model for coal reservoir gas content,and the constructed model was applied to predict the gas content of coal seams in the study area.The prediction results of practical application are consistent with the indoor analysis data of coal core gas content,confirming that the calculation model for coal reservoir gas content has high prediction accuracy,reliability and operability.关键词
煤储层分类/煤层含气量/测井/多元回归Key words
coal reservoir classification/coalbed gas content/logging/multiple regression分类
天文与地球科学引用本文复制引用
朱同,谢非,白云思雨,王赐勋..基于煤储层分类的含气量预测方法研究[J].石油地质与工程,2025,39(4):57-64,8.
