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GeoNeurale

The Society for the Geosciences applications of Geostatistics and Neural Networks. Presents a new series of courses regarding. Recent advancements in applications and interpretation methods of. The oil exploration industry:. Deterministic and stochastic methods for seismic and petrophysical integration. Non-linear large scale machine learning optimization in seismic attributes analysis. Non-linear large scale machine learning optimization in petrophysical analysis. ACTUAL THEMES AND APPLICATIONS. Fractur...

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The Society for the Geosciences applications of Geostatistics and Neural Networks. Presents a new series of courses regarding. Recent advancements in applications and interpretation methods of. The oil exploration industry:. Deterministic and stochastic methods for seismic and petrophysical integration. Non-linear large scale machine learning optimization in seismic attributes analysis. Non-linear large scale machine learning optimization in petrophysical analysis. ACTUAL THEMES AND APPLICATIONS. Fractur...
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GeoNeurale | petrostatistics.com Reviews

https://petrostatistics.com

The Society for the Geosciences applications of Geostatistics and Neural Networks. Presents a new series of courses regarding. Recent advancements in applications and interpretation methods of. The oil exploration industry:. Deterministic and stochastic methods for seismic and petrophysical integration. Non-linear large scale machine learning optimization in seismic attributes analysis. Non-linear large scale machine learning optimization in petrophysical analysis. ACTUAL THEMES AND APPLICATIONS. Fractur...

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1

The Application of Neural Networks

http://www.petrostatistics.com/TheApplicationofNeuralNetworks.htm

NEURAL NETWORK PERCEPTRON ELEMENTAL MODEL FOR PETROPHYSICAL APPLICATIONS. This example is a logic diagram of a GeoNeurale concept. It illustrates the workflow of a Neural Network for the estimation. Process of facies logs from petrophysical properties. The training consists in updating the weights until. A weights zero change is reached. This weight calculation is normally performed applying. Here the Delta lerning rule of Widrow/Hoff or the Hebb lerning. Rule can be applied.

2

News

http://www.petrostatistics.com/news.htm

The Society for the Geosciences applications of Geostatistics and Neural Networks. SUBSCRIBE FOR THE MONTHLY GeoNeurale NEWSLETTER. Just send your email address at. AMONG OUR CLIENTS :. RWE, OMV, Statoil, Shell, BP, CGGVeritas, ARKeX (ARKGeophysics), Beicip-Franlab,. Politecnico di Torino, Geoenergie Bayern, Baker-Hughes-Inteq, Addax Petroleum,. Maerskoil, PGS, Wintershall, GGA, GAZdeFRANCE, Geofizyka-Torun, Total, Schlumberger, Hurricane Exploration, Cairn India. NEW STATISTICS ON OUR CASE STUDIES:.

3

GeoNeurale Newsletter                                       &

http://www.petrostatistics.com/geoneurale_newsletter_April-2008.htm

GeoNeurale Courses Program 2008. Double Duty with The Old and The New (by Gene Ballay). 17-19 June 2008 The Logic of Neural Networks for the Petrophysical, Seismic and Facies Estimation PROGRAM. Instructors: Hansruedi Frueh and Tino Perucchi. 23-27 June 2008 Advanced Carbonate Petrophysics PROGRAM. 1-5 September 2008 Applied Carbonate Stratigraphy PROGRAM. 6-10 October 2008 Geostatistical Applications and Petrophysical Analysis. Instructors: Gene Ballay and Jacques Deraisme. By RE (Gene) Ballay PhD.

4

Integration with Neural Networks

http://www.petrostatistics.com/IntegrationwithNeuralNetworks.htm

INTEGRATION OF PETROPHYSICAL ANALYSIS WITH NEURAL NETWORKS. THE TRAINING AND ESTIMATION PHASE. Pattern recognition in the formation evaluation process is as important. As geostatistics. It helps to add a supplementary model to the. Multiple realizations of a reservoir analysis. Neural networks in petrophysics are used in supervised learning mode. In some static geological models applications, neural networks. Are used as an aid to facies prediction. And forecast data in unexplored areas. If we choose as ...

5

Define-Electrofacies

http://www.petrostatistics.com/Define-Electrofacies.htm

DEFINING ELECTROFACIES: SUPERVISED AND NON-SUPERVISED APPROACES. Multi-variate statistics provide the right tools that allow:. O to analyze wireline logs and core data;. O to predict electrofacies from a large number of wells and using complete sets of logs;. O to calibrate the detected log facies against core data;. O to predict the bog facies at the non-cored intervals and non-cored wells;. O to quantify the uncertainty of the bog facies determination. Matrix of the data. The electrofacies gathering de...

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GeoNeurale

The Society for the Geosciences applications of Geostatistics and Neural Networks. Presents a new series of courses regarding. Recent advancements in applications and interpretation methods of. The oil exploration industry:. Deterministic and stochastic methods for seismic and petrophysical integration. Non-linear large scale machine learning optimization in seismic attributes analysis. Non-linear large scale machine learning optimization in petrophysical analysis. ACTUAL THEMES AND APPLICATIONS. Fractur...

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