基于人工智能的测井设备数据处理与解释方法研究

Research on Data Processing and Interpretation Methods of Logging Equipment Based on Artificial Intelligence

介绍了人工智能在测井设备数据处理解释应用的适用性,重点说明了人工智能在测井设备领域的应用研究,包括岩性识别、低电阻率油层识别、储层参数评价和裂缝孔洞识别等。随后提出了对人工智能在测井设备数据处理领域的发展趋势的见解,以期对人工智能在测井数据处理领域的发展和应用提供有益的参考和借鉴。

With the development of oil and gas exploration technology,the amount of data generated by logging equipment continues to increase,and traditional processing methods are no longer competent.The introduction of artificial intelligence technology provides new ideas for well logging data processing.This article first introduces the applicability of artificial intelligence in data processing and interpretation of logging equipment,and then focuses on the application research of artificial intelligence in the field of logging equipment,including lithology identification,low resistivity oil layer identification,reservoir parameter evaluation,and fracture and pore identification.Subsequently,the author proposed his insights on the development trend of artificial intelligence in the field of well logging equipment data processing,in order to provide useful references and references for the development and application of artificial intelligence in the field of well logging data processing.