摘要
文章首先阐述了地震资料和录井数据的互补性,强调了不同尺度和性质在油气水储层识别中应用的优势。其次介绍了关键的储层性质识别技术与方法,包括数据融合、机器学习、实验室分析等,通过实际案例展望了多模态数据融合的未来前景与挑战,强调了技术创新、数据安全、人才培养等方面的关键因素,为提高勘探成功率和资源开采效率所起到的推动作用。
Firstly,the complementarity of seismic data and logging data is described,and the advantages of different scales and properties in the identification of oil-gas and water reservoirs are emphasized.Secondly,it introduces key reservoir property identification technologies and methods,including data fusion,machine learning,laboratory analysis,etc.,and looks forward to the future prospects and challenges of multi-modal data fusion through practical cases,emphasizing the key factors such as technological innovation,data security,talent training,etc.,to improve the success rate of exploration and the efficiency of resource exploitation.
作者
黄建业
HUANG Jianye(Zhanjiang Branch of Sino French Bohai Geological Service Co.,Ltd.,Zhanjiang 524057,China)
出处
《化工管理》
2023年第35期153-156,160,共5页
Chemical Engineering Management
关键词
综合录井
地震资料
储层识别
油气勘探
融合应用
comprehensive logging
seismic data
reservoir identification
oil and gas exploration
fusion and application