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IDENTIFICATION OF SEDIMENTARY MICROFACIES WITH AN ARTIFICIAL NEURAL NETWORK MODEL.

Ran Qi-quan(Southwestern Petroleum Institute, Sichuan, 637001)  
This paper introduces an identification of sedimentary microfacies by the pattern recognition approach using artificial neural networks (ANN). Firstly, the ANN approach established the relationship between the logging factes and geological factes according to the key-well study as an identified pattern, then obtained intelligent knowledge by learning from the identified pattern, and finally applied the knowledge to identify the microfacies in unknown wells and sites again As a case study, the authors discussed the application of the ANN approach in the reeoghtion and subdivision of sedimentary microfacies of the 4th member of Shahejie formation, Wenliu area, Zhongyuan oilfield.
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