GeoNeurale
 
The Society for the Geosciences applications of Geostatistics and Neural Networks  
  
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ACTUAL THEMES AND APPLICATIONS

* Filling with Petrophysical Properties

*In the June 2009 News the Paper of Helene Beucher and

Didier  Renard:  FILLING WITH PETROPHYSICAL PROPERTIES

One of the main challenges of geostatistics in reservoir characterization is to populate a portion of 3-D earth model with its petrophysical properties. This operation must be carried out while still honoring the information available along well logs: in our jargon,
we say that it must be conditional.

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*In the May 2009 News the Paper of Gene Ballay

Multidimensional Petrophysical Analysis in

the Reservoir Description.

During the development of the Shaybah Field in the Empty

Quarter of Saudi Arabia, a number of wells were cored and logged with a routine open-hole suite of tools (density-neutron, sonic-resistivity), and then later (but preproduction) logged with

a pulsed neutron tool.

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*The March 2009 second article of Robert Garotta:

About Gamma ratios and their combinations

The ratio between the compressional to shear velocities
(Gamma or Γ = Vp/Vs) is a key parameter in the
combination of P and S (or PS) data. It can be derived in
several ways. The most obvious are the ratio between the S
to P propagation times between associated events (Γ T) and
the ratio between P to S normal moveout velocities (Γ V).
Comparing P and S (or P and PS) seismic amplitudes also
gives access to Gamma ratio (ΓA).
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*The March 2009 Article: Gene Ballay and the uncertainty concepts in Petrophysics
Risky Business
We all realize that our evaluations can be no better than the data, and model, allow.
At the simplest level we often select Optimistic, Expected and Pessimistic parameter estimates, and bound the result accordingly.
It is, however, relatively simple to address the uncertainty question in a more comprehensive, quantitative fashion, and better identify where to focus time, and money, in search of an improved evaluation.
As carbonate (rather than shaly sand) petrophysicists, our Sw estimates are typically compromised by uncertainty in the Archie equation attributes.

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*Which Depth Imaging Method Should You Use?

  A Roadmap In The Maze of 3D Depth Imaging.

- A Contribute of Biodo Biondi to our discussion -

Today’s explorationist is confronted with a large array of three dimensional depth imaging options, ranging from a variety of Kirchhoff implementations to a variety of waveequation
implementations. Historically, the choice of a depth migration algorithm was simple: Kirchhoff was the only practical option. This has changed. Advances in computing and clever algorithms
have made waveequation migration an economically feasible alternative. With so many choices, making the right choice of imaging method for a given objective can be a daunting task.
We briefly examine the origins of the various imaging methods, describe their relative approximations, and assess their relative merits and applicability.

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*Good News and Bad News -   The January 2009 Newsletter

When observed, mud filtrate invasion likely signals that the formation has at least some amount of permeability. At the simplest level, and assuming a contrast in Rmf & Rw, there may be SP development, which in the presence of potassium feldspars, or uranium, can allow one to identify a reservoir that would not be clear on the GR, and can even offer an estimate of Rw.

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*Testing, Testing 1,2,3  The October Newsletter

Pressure profiles provide important, basic information on reservoir fluids and rock continuity, and in some locales are vital to an accurate interpretation.
· Fluid typing, via determination of the fluid pressure gradient
· Fluid contact placement, via observation of pressure gradient changes, Reservoir continuity, via identification of similar, but offset, pressure gradients.

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* Testing, Testing 1,2,3  The September Newsletter II

    on Formation Pressure Profiles .

    DOWNLOAD Part 1

 

* Determinismus and/or Artificial Intelligence for Pattern Recognition?

Artificial Intelligence Methods for Pattern Completion and Interpretation, AI Methods for Applications in the field of Geosciences.

An interview with Hansruedi Frueh, instructor for

the course: " The Logic of Neural Networks for the Petrophysical,

Seismic and Facies Estimation ".   DOWNLOAD

 

* Two for One.  On the August 2008 GeoNeurale Newsletter :

A routine suite of open hole logs, that includes both porosity and resistivity, has the potential to provide not one, but two, independent evaluations of the formation.  DOWNLOAD

*Double Duty on the side of Carbonates.

GeoNeurale issues its first Newsletter: "Double Duty with The

Old and The New".  A communication platform among

Geoscientists on Carbonate Petrophysics. DOWNLOAD

*GeoNeurale presents the widest and most advanced research project ever planned on the Bavarian Malm. The project covers a multidisciplinary integrated program of special seismic, petrophysical and surface measurements and the application of new derived analytical and processing methods focused on the interpretation of the structural and facies attributes to maximize the efficiency of geothermal projects.

*Petrophysics and Geostatistics: New analytical methods

*The Malm Research as a top priority.

*Application of Neural Networks to the Estimation and Classification of petrophysical related properties  for

reservoir analysis.

*Multilayer Perceptrons and NN architectures for the Estimation

and mapping of petrophysical properties.

*Supervised methods training sets from core porosity, GR

for modeling the Porosity log.

*Defining Electrofacies: Supervised and Non-Supervised

Approaches

*From Bivariate to Multivariate Statistics: Electrofacies classification.

*Integration of Petrophysical Analysis with Neural Networks.

 

   LINKS

> TWO for ONE 1+1=3

> Double Duty with The Old and The New

> The Malm Research
>  The Application of Neural Networks.

> Multilayer Perceptron and NN architectures.

> Supervised Methods.

> Defining Electrofacies.

> From Bivariate to Multivatiate Statistics.
>Integration of Petrophysical Analysis with Neural Networks.  

 

GeoNeurale  is engaged in Consulting, Training and Research, has trained geoscientists from world oil companies, universities and oilfield service companies.

Among our clients and cooperation companies:

StatoilHydro, ARKeX (ARKGeophysics), OMV, RWEDea, Politecnico di Torino, Geoenergie Bayern, Baker-Hughes-Inteq, Shell, Addax Petroleum, Occidental Oil and Gas, Polish Oil and Gas, ParadigmGeo, Daewoo E&P, Fugro-Robertson, Concedo Norway, Japex, IkonScience, Geomechanics International, Noreco, DMT,

The University of Leicester, PTTEP, CGGVERITAS, Edison, Maerskoil,

PGS, Wintershall, GGA, GAZdeFRANCE, Geofizyka-Poland , Total

GeoNeurale has trained geoscientists and senior geoscientists coming from the following countries:

Austria, Denmark, France, Germany, Italy, Libya, Mexico, Nigeria, Norway, Oman, Poland, South Corea, Spain, Switzerland, Thailand, Turkey, U.K.


  Courses

   29-31 July 2009    

  3D Seismic Imaging

Concepts and Applications 

 (New Program, New Topics)

    PROGRAM

Instructor:  Biondo Biondi

_______________________________

THE NEW

DEVELOPMENT IN THE SCHOOL OF

FONTAINEBLEAU

Geostatistical Analysis and Applications for the Reservoir Characterization of Sedimentary Formations

 19-23 October 2009

GeoNeurale

 PROGRAM

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