Study on the automatic logging identification method of Nen-2 index bed formation

Zhou He

doi:10.1117/12.3039581

4 September 2024 Study on the automatic logging identification method of Nen-2 index bed formation

Zhou He

Proceedings Volume 13259, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2024); 132591H (2024) https://doi.org/10.1117/12.3039581
Event: Fourth International Conference on Automation Control, Algorithm, and Intelligent Bionics (ICAIB 2024), 2024, Yinchuan, China

Abstract

In the late stage of oil field development, due to casing loss, the injection-production relationship is very imperfect, and the geological reserves are difficult to be used effectively. The standard formation of Nen-2 index bed is always the high occurrence of casing loss. In order to effectively guide the prevention and control of casing losses, based on logging interpretation technology and information technology, combined with the lithology and electrical characteristics of oil shale in Nen-2 index bed, the quantitative and qualitative evaluation methods of SP outliers of oil formation logging curves are given, and a set of automatic identification methods and application programs are established in Nen-2 index bed flooded waters to achieve the batch visualization technology effect of "thousands of Wells with the same map". It realizes the identification of abnormal formation pressure and prediction of casing damage area by using logging data, and provides guarantee for the prevention and control of high quality casing damage.

(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.

Citation Download Citation

Zhou He "Study on the automatic logging identification method of Nen-2 index bed formation", Proc. SPIE 13259, International Conference on Automation Control, Algorithm, and Intelligent Bionics (ACAIB 2024), 132591H (4 September 2024); https://doi.org/10.1117/12.3039581

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