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Spring 2008 Series

 

Elements of Seismic Data Processing

Wendy Ohlhauser

March 4 or 6

more info

 

Migration: Time or Depth? Kirchhoff or Wave Equation?

Jianhua Pan

March 11 or 13

more info

 

How can seismic attributes aid the geophysicist in making accurate interpretations?

Satinder Chopra

March 18 or 20

 

Reliable density inversion and application in mapping reservoir heterogeneity for heavy oil in WCSB

Yong Xu

April 8 or 10

more info

 

Spectral decomposition applications and thin-bed reflectivity inversion

Satinder Chopra

April 15 or 17

more info

 

Rock Properties & AVO analysis

Yong Xu

April 22 or 24

more info

 

Seismic Operations 101

Brad Torry

April 29

more info

 

Seismic Data Marketing

Brad Torry

May 1

more info

 

To RSVP for any of the above seminars,

click here.

 

For more information contact Florence Janzen at 781.1437

 

www.arcis.com

Lunch and Learn Seminars
Spring 2008

 

*UPDATED WITH NEW EXAMPLES*

How can seismic attributes aid the geophysicist in making accurate interpretations?

 

Presented by Satinder Chopra

March 18th or March 20th, 2008

11:55 to 1 pm (lunch provided)

Suite 2600, 111 - 5th Ave SW

East Petro-Canada Tower

 

Limited seating, click here to RSVP

 

This is the third in a series of lunch & learn seminars, see the sidebar for information on the other topics.

 

Seismic attributes extract information from seismic reflection data that can be used for both quantitative and qualitative interpretation. Some attributes such as seismic amplitude, envelope, RMS amplitude, spectral magnitude, acoustic impedance, elastic impedance, and AVO measures are directly sensitive to changes in seismic impedance. Other attributes such as peak-to-trough thickness, peak frequency, and bandwidth are sensitive to layer thicknesses. Both of these classes of attributes can be quantitatively correlated to well control using multivariate analysis, geostatistics, or neural networks. Seismic attributes such as coherence, Sobel filter edge detectors, amplitude gradients, dip-azimuth, curvature, and gray-level co-occurrence matrix texture attributes provide images that allow interpreters to qualitatively use geologic models of structural deformation, seismic stratigraphy, and seismic geomorphology, to infer the presence of fractures or the likelihood of encountering sand-prone facies.

 

It is therefore no surprise that research workers at major oil companies, geoscience contractors and universities continue not only to develop new seismic attributes and improve workflows using well-established attributes but also to minimize seismic artifacts and calibrate the attribute expression of geologic features that were previously unrecognized or overlooked. Attribute computation on seismic data is an art. There are many ways to bring out the features of interest in 3D seismic data volumes, some subtle and some prominent. Apart from the choice of the computation parameters, the input data needs to be conditioned, and the choice of algorithms make a significant difference to the quality of the results. Some of these ways will be discussed in the presentation.

 

Examples will be presented for the application of curvature and coherence attributes to 3D seismic volumes to show how these attributes can aid the geophysicist in making more accurate interpretations. A final goal in this talk on seismic attributes is to update readers on the emerging trends and also talk about the directions in which seismic attributes are headed.

 

To learn more, attend the lunch & learn session on March 18th or 20th. Click here to RSVP.

 

This course is available as a free in-house seminar. For more information contact Florence Janzen, 781-1437 or email fjanzen@arcis.com.