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Abstract


 
Chapter from: SG 42:  Applications of 3-D Seismic Data to Exploration and Production

Edited by: 
Paul Weimer and Thomas L. David

Authors:
M. A. Chapin, G. M. Tiller, and M. J. Mahaffie


Published 1996 as part of Studies in Geology 42
Copyright © 1996 The American Association of Petroleum Geologists.  All Rights Reserved.
 

*Editorial Note: Page numbers in this digital version (HTML and PDF) do not correspond to those of the hardcopy.
Otherwise, the two are the same.
 
 

CHAPTER 12

Chapter 12: 3-D Architecture Modeling Using High-Resolution Seismic Data and Sparse Well Control: Example from the Mars "Pink" Reservoir, Mississippi Canyon Area, Gulf of Mexico

M. A. Chapin, G. M. Tiller, and M. J. Mahaffie*

 

Chapin, M. A., G. M. Tiller, and M. J. Mahaffie, 3-D architecture modeling using high-resolution seismic data and sparse well control: example from the Mars "Pink" Reservoir, Mississippi Canyon Area, Gulf of Mexico, in P. Weimer and T. L. Davis, eds., AAPG Studies in Geology No. 42 and SEG Geophysical Developments Series No. 5, AAPG/SEG, Tulsa, p. 123-132.

 

ABSTRACT

Most deep-water development projects are planned using high-quality 3-D seismic data and sparse well control. Economic considerations require large reservoir volumes to be drained with relatively few wells. We have used 3-D seismic data to constrain large-scale, deterministic reservoir bodies in a 3-D architecture model of Pliocene turbidite sands of the "E," or "Pink," reservoir, Prospect Mars, Mississippi Canyon Areas 763 and 807, Gulf of Mexico. A geological interpretation derived from 3-D seismic data and three wells was linked to 3-D architecture models through seismic inversion, resulting in a reservoir rock property distribution incorporating all available data. High-resolution reprocessing of a high-quality marine seismic dataset resulted in the ability to deterministically map sedimentary reservoir bodies. Distinguishing subtle stratigraphic shingles from faults was accomplished by detailed, loop-level mapping and was important to characterize the different types of reservoir compartments. Seismic inversion was used to detune the seismic amplitude, adjust the sand-body thickness, and update the rock properties. This modeling project illustrates how high-quality seismic data and architecture models can be combined in a pre-development phase of a prospect, in order to optimize well placement.

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