About This Item
- Full TextFull Text(subscription required)
- Pay-Per-View PurchasePay-Per-View
Purchase Options Explain
Share This Item
The AAPG/Datapages Combined Publications Database
AAPG Special Volumes
Abstract
Caers, J., B. G. Arpat, and C. A. Garcia, interpretation
of geobodies from
seismic
amplitudes, in T. C. Coburn, J. M. Yarus, and R. L. Chambers, eds., Stochastic modeling and geostatistics: Principles, methods, and case studies, volume II: AAPG Computer Applications in Geology 5, p.
DOI:10.1306/1063809CA53032
2006 by The American Association of Petroleum Geologists.
Feature-based Probabilistic
Interpretation
of Geobodies from
Seismic
Amplitudes
![Previous Hit](/data/images/arrow_left.gif)
![Next Hit](/data/images/arrow_right.gif)
![Previous Hit](/data/images/arrow_left.gif)
![Next Hit](/data/images/arrow_right.gif)
J. Caers,1 B. G. Arpat,2 C. A. Garcia3
1Stanford University Stanford, California, U.S.A.
2Stanford University Stanford, California, U.S.A.; present address: Earth Decision Sciences, Houston, Texas, U.S.A.
3Stanford University Stanford, California, U.S.A.; present address: Shell Oil Company, New Orleans, Louisiana, U.S.A.
ACKNOWLEDGMENTS
The authors appreciate the opportunity provided by TotalFinaElf to work on the submarine-channel data
set. Comments on previous parts of this work by Andre Haas are also appreciated.
ABSTRACT
Manual interpretation
of large volumes of
seismic
data
is a tedious and time-consuming process.
Seismic
interpretation
relies on extensive expert knowledge of geological rules, as well as strong geophysical
interpretation
skills. Moreover, in modern approaches to reservoir characterization, a single, deterministic reservoir model interpreted from
seismic
information is commonly of less interest than the multiple potential interpretations that can arise from the
data
. Hence, an understanding of the uncertainty associated with
seismic
interpretation
and its quantification are extremely important to reservoir management and decision analysis. In this chapter, several new tools are presented, most of them based on statistical pattern recognition, that can aid the interpreter in constructing a
seismic
-based reservoir model and provide some uncertainty quantification. Two groups of methods based on unsupervised and supervised pattern detection are discussed. A new geostatistical approach termed feature-based geostatistics is introduced, the aim of which is to accurately reproduce facies shapes. All methods are validated using an interpreted
seismic
data
set representing channel facies from a turbidite sequence in Gabon, west Africa.
Pay-Per-View Purchase Options
The article is available through a document delivery service. Explain these Purchase Options.
Watermarked PDF Document: $14 | |
Open PDF Document: $24 |