Recurrent Neural Networks for Permanent Downhole Gauge Data Analysis

[1]  M. Onur,et al.  Transient temperature behavior and analysis of single-phase liquid-water geothermal reservoirs during drawdown and buildup tests: Part I. Theory, new analytical and approximate solutions , 2016 .

[2]  Iraj Ershaghi,et al.  Complexities of Using Neural Network in Well Test Analysis of Faulted Reservoirs , 1993 .

[3]  Roland N. Horne,et al.  Applying Machine Learning Techniques to Interpret Flow Rate, Pressure and Temperature Data From Permanent Downhole Gauges , 2015 .

[4]  Roland N. Horne,et al.  Interpreting Pressure and Flow Rate Data from Permanent Downhole Gauges with Convolution-Kernel-Based Data Mining , 2013 .

[5]  Roland N. Horne,et al.  Interpreting Pressure and Flow-Rate Data From Permanent Downhole Gauges by Use of Data-Mining Approaches , 2013 .

[6]  A. U. Al-Kaabi,et al.  Author's reply to discussion of using artificial neural nets to identify the well-test interpretation model , 1993 .

[7]  Hava T. Siegelmann,et al.  Computational capabilities of recurrent NARX neural networks , 1997, IEEE Trans. Syst. Man Cybern. Part B.

[8]  A. Aggarwal,et al.  ANN Powered Virtual Well Testing , 2014 .

[9]  Roland N. Horne,et al.  Automatic Parameter Estimation From Well Test Data Using Artificial Neural Network , 1995 .

[10]  Roland N. Horne,et al.  Machine Learning Applied to Multiwell Test Analysis and Flow Rate Reconstruction , 2015 .

[11]  Iraj Ershaghi,et al.  A Robust Neural Network Model for Pattern Recognition of Pressure Transient Test Data , 1993 .

[12]  Roland N. Horne,et al.  Inferring Interwell Connectivity Using Production Data , 2016 .

[13]  R. Horne Listening to the Reservoir—Interpreting Data From Permanent Downhole Gauges , 2007 .

[14]  Iraj Ershaghi,et al.  A New Approach to Reservoir Characterization Using Deep Learning Neural Networks , 2016 .

[15]  Yang Liu,et al.  Interpreting Pressure and Flow Rate Data from Permanent Downhole Gauges Using Convolution-Kernel-Based Data Mining Approaches , 2013 .