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7 - Hands-on

Published online by Cambridge University Press:  27 January 2010

Per Avseth
Affiliation:
Norwegian University of Science and Technology, Trondheim, and Odin Petroleum, Bergen
Tapan Mukerji
Affiliation:
Stanford University, California
Gary Mavko
Affiliation:
Stanford University, California
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Summary

For the things we have to learn before we can do them, we learn by doing them.

Aristotle

Introduction

This chapter provides problem sets and an extended reservoir characterization project based on an example seismic data set and well logs provided at the book website. The website also has additional resources in the form of downloadable matlab function files that may be helpful in solving the problems. We used the matlab statisti cs toolbox and neural net toolbox for solving the problems involving pdf estimation and statistical classification.

Well-log data from five wells are provided in flat ascii text files. Well 2 is taken as the type-well. Six different lithofacies have been identified from Well 2. For the purposes of the problem sets and the project the facies are: clean sand, cemented sand, silty-sand1, silty-sand2, silty-shale, and shale. The depth zones containing data for these facies have been extracted from Well 2 and provided in separate text files. The seismic data consist of one 2D section of NMO-cor rected pre-stack CDP gathers, and two 3D cubes of near- and far-offset partial stacks. Details about the seismic data and well locations within the seismic cubes are provided below in Section 7.3.

Problems

Rock physics modeling

Load the well-log data for Well 2 into your software of choice (matlab, Excel or any other suitable software). The ascii file contains five columns: depth, VP, density, gamma ray, and VS.

Type
Chapter
Information
Quantitative Seismic Interpretation
Applying Rock Physics Tools to Reduce Interpretation Risk
, pp. 332 - 339
Publisher: Cambridge University Press
Print publication year: 2005

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  • Hands-on
  • Per Avseth, Tapan Mukerji, Stanford University, California, Gary Mavko, Stanford University, California
  • Book: Quantitative Seismic Interpretation
  • Online publication: 27 January 2010
  • Chapter DOI: https://doi.org/10.1017/CBO9780511600074.008
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  • Hands-on
  • Per Avseth, Tapan Mukerji, Stanford University, California, Gary Mavko, Stanford University, California
  • Book: Quantitative Seismic Interpretation
  • Online publication: 27 January 2010
  • Chapter DOI: https://doi.org/10.1017/CBO9780511600074.008
Available formats
×

Save book to Google Drive

To save content items to your account, please confirm that you agree to abide by our usage policies. If this is the first time you use this feature, you will be asked to authorise Cambridge Core to connect with your account. Find out more about saving content to Google Drive.

  • Hands-on
  • Per Avseth, Tapan Mukerji, Stanford University, California, Gary Mavko, Stanford University, California
  • Book: Quantitative Seismic Interpretation
  • Online publication: 27 January 2010
  • Chapter DOI: https://doi.org/10.1017/CBO9780511600074.008
Available formats
×