Sigma-X
 
The Society for the Geosciences applications of Geostatistics and Neural Networks  
  
Raster
 
 
 
 

GeoNeurale Wavefields

 

  Wavefields

  DEVELOPED STATE OF THE ART INTEGRATED NON-DETERMINISTIC AND FREQUENCY /GEOMETRIC 

  ATTRIBUTES ANALYSIS AS DHI.

  This new technique has been successfully applied to several datasets predicting water wet and       

  hydrocarbon filled areas with a very high accuracy as intersecting wells also confirmed

NEW STATISTICS ON OUR CASE STUDIES:

94.44 % success.  The Well correctly predicted the presence of hydrocarbons.

  Wavefields

-advanced interpretation services for the oil industry-

 

- High resolution integrated non-deterministic pattern recognition and frequency attributes analysis  as 

  direct hydrocarbon indicator  (HRPRF)

- Multiattributes analysis  

- AVO, angle stack, attributes interpretation and rock physics

- Seismic Inversion ( pre and post-stack )

- Interpretive Processing

- Seismicmodeling, fluid substitution, wedgemodeling, Petrophysics/Seismic,  well-ties 

- Petrophysics / Rock Physics / Seismic - integrated interpretation

- Static Modeling, 3D properties micro scale distribution (Seismic/Petrophysics)

- Target identification

 

   

  Courtesy:  Marfurt and Liu                                                    Courtesy: Goloshubin

 

 

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 SIGMA-x

 

 THE CENTER FOR GEOSTATISTICS MUNICH


SPATIAL STATISTICS 

has evolved in the last ten years as a powerful analytical tool for data processing in most Geosciences and Environmental Applications.  Geostatistics was originally developed within the Mining Industry and slowly  many of its applications were extended to other domains.

First of all Geostatistics found a wide development in the Reservoir Characterization Sciences, Seismology and Petrophysics for the understanding of space dependent properties distributions at different scales.

Geostatistics is also very important for the study of Environmental Properties Distributions and in a range of disciplines in the Risk Analysis and evaluation context of  Soil , Air, Water pollution, Nuclear Waste safety and Geothermal Exploration.

 

- Geothermal, Oil and Gas Reservoir Characterization

- Environment: Soil , Air, Water

- Nuclear Safety

- Mining

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                  Geostatistics Conferences at GeoNeurale

Geostatistical Modelling for Subsurface Characterisation and Environmental Applications

                                Dr  Olivier Jaquet

                                   

                                   15 June 2016

Decision making in relation to geoscientific issues requires assessment of uncertainty.
Geostatistics provides tools and methods for modelling uncertainty when analysing spatial data.
Geostatistical concepts and case studies will be presented within the framework of reservoir flow modelling and environmental applications.

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 :


Geostatistics

The Domain of the Analysis of Events in Space.

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 GeoNeurale  

     THE CENTER FOR 

  GEOSTATISTICS MUNICH

             presents

 Geostatistical Modelling

                   for

Subsurface Characterisation

                   and  

Environmental Applications

         Dr  Olivier Jaquet

              15 June 2016

            

at GeoNeurale, Munich-Garching
        FREE REGISTRATION  

       info@GeoNeurale.com


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SPATIAL STATISTICS starts where the Deterministic Methods reach their limits. The goa l: to see the "invisible"   increasing the measurements resolution through the analysis of properties relations, where a Variographic function dependency can be applied to the properties in their spatial distribution.