A novel hybrid CNN–SVM method for lithology identification in shale reservoirs based on logging measurements

• Published in: Journal of applied geophysics Vol. 223; p. 105346
• Main Authors: Li, Zhijun, Deng, Shaogui, Hong, Yuzhen, Wei, Zhoutuo, Cai, Lianyun
• Format: Journal Article
• Language: English
• Published: Elsevier B.V 01.04.2024
• Subjects: Convolutional neural network; Hybrid model; Logging lithology identification; Model interpretability; Support vector machine; Hybrid model; Model interpretability; Support vector machine; Logging lithology identification; Convolutional neural network

Shale oil and gas reservoirs are lithologically complex and heterogeneous and accurate identification of lithology is necessary for the correct identification of lithofacies. There is also a poor mapping relation between logging response and lithology, making reliable lithological identification dif...