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Effective medium modeling; how to efficiently infer porosity from seismic data?

Mathilde Adelinet and Mickaele Le Ravalec
Effective medium modeling; how to efficiently infer porosity from seismic data? (in Geophysical modeling for interpreters, William L. Abriel (prefacer), Rolf Ackermann (prefacer), Vincent Artus (prefacer), Carlos Calderon (prefacer), Feng Chen (prefacer), Steve Danbom (prefacer), Andreas Laake (prefacer), Isabelle Lecomte (prefacer), Joe Mongan (prefacer) and Jamie Rector (prefacer))
Interpretation (Tulsa) (November 2015) 3 (4): SAC1-SAC7

Abstract

Many geophysical studies in reservoir characterization focus on the variations in the elastic properties of rocks. They commonly involve seismic data, which are processed in terms of seismic attributes. These processed data still have to be related to the physical properties of the rock mass and the fluids saturating the pore space. This need motivated the development of research projects based upon the effective medium theory (EMT). We have used the EMT to infer porosity and also fracture data from seismic impedances in part of the Fort Worth Basin, Texas. The main idea was to take advantage of the available impedances to characterize porosity in terms of equant pores and cracks. We then focused on the volume fraction of spherical pores and crack density. Shortly thereafter, we developed an effective medium (EM) model that provided numerical responses for seismic impedances. These responses were then compared to the impedances obtained from stratigraphic inversion. The overall procedure consisted in adjusting the input parameters of the EMT model, which were the spherical porosity and the crack density, to minimize the impedance mismatch. Our case study involved two limestone formations of the Fort Worth Basin (the Marble Falls and Ellenburger Formations) and one shaly formation (the Barnett Shale). The results are promising - The EMT turns out to be a very useful tool to explain reservoir and geophysical data in terms of microstructural properties, in particular, for fractured reservoirs.


ISSN: 2324-8858
EISSN: 2324-8866
Serial Title: Interpretation (Tulsa)
Serial Volume: 3
Serial Issue: 4
Title: Effective medium modeling; how to efficiently infer porosity from seismic data?
Title: Geophysical modeling for interpreters
Author(s): Adelinet, MathildeLe Ravalec, Mickaele
Author(s): Abriel, William L.prefacer
Author(s): Ackermann, Rolfprefacer
Author(s): Artus, Vincentprefacer
Author(s): Calderon, Carlosprefacer
Author(s): Chen, Fengprefacer
Author(s): Danbom, Steveprefacer
Author(s): Laake, Andreasprefacer
Author(s): Lecomte, Isabelleprefacer
Author(s): Mongan, Joeprefacer
Author(s): Rector, Jamieprefacer
Affiliation: IFP Energies Nouvelles, Rueil-Malmaison, France
Affiliation: Orinda Geophysical, Orinda, CA, United States
Pages: SAC1-SAC7
Published: 201511
Text Language: English
Publisher: Society of Exploration Geophysicists, Tulsa, OK, United States
References: 17
Accession Number: 2016-007523
Categories: Applied geophysicsEconomic geology, geology of energy sources
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus. incl. chart, sects., 2 tables, sketch map
N33°34'60" - N37°00'00", W103°00'00" - W94°25'00"
Secondary Affiliation: Rock Solid Images, USA, United StatesKappa Engineering, USA, United StatesIon Geophysical, USA, United StatesCGG, USA, United StatesRice University, USA, United StatesSchlumberger, USA, United StatesNORSAR, NOR, NorwayTullow Oil, GBR, United KingdomLawrence Berkeley National Laboratory, USA, United States
Country of Publication: United States
Secondary Affiliation: GeoRef, Copyright 2017, American Geosciences Institute. Reference includes data from GeoScienceWorld, Alexandria, VA, United States. Reference includes data supplied by Society of Exploration Geophysicists, Tulsa, OK, United States
Update Code: 201604
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