Application of Recurrent Networks to Classification of Oil Reservoir Models in Well-testing Analysis
暂无分享,去创建一个
[1] Alain C. Gringarten,et al. Determination Of Fissure Volume And Block Size In Fractured Reservoirs By Type-Curve Analysis , 1980 .
[2] Roland N. Horne,et al. Automatic Parameter Estimation From Well Test Data Using Artificial Neural Network , 1995 .
[3] D. Bourdet,et al. Supplement to SPE 12777, Use of Pressure Derivative in Well-Test Interpretation , 1989 .
[4] Iraj Ershaghi,et al. A Robust Neural Network Model for Pattern Recognition of Pressure Transient Test Data , 1993 .
[5] Ali Mohebbi,et al. Estimating the initial pressure, permeability and skin factor of oil reservoirs using artificial neural networks , 2006 .
[6] Martin Fodslette Møller,et al. A scaled conjugate gradient algorithm for fast supervised learning , 1993, Neural Networks.
[7] Jeffrey L. Elman,et al. Finding Structure in Time , 1990, Cogn. Sci..
[8] Amanat U. Chaudhry. Oil well testing handbook , 2004 .
[9] R. Horne. Modern Well Test Analysis: A Computer-Aided Approach , 1990 .