Student or educator? Sign up with your school email and get 6 months of Pro free.
Cited by 265

The DOI matches its Crossref record; 13 of the 13 references it cites were found in a registry or an index.

Seismic Imaging of Carbonate Reservoirs and Systems

·2004·American Association of Petroleum Geologists eBooks

Abstract

Recent advances in seismic acquisition, processing and visualization techniques image carbonate strata with unprecedented resolution. This volume documents the current state of the art in seismic imaging and interpreting of carbonate systems and captures the dynamics of the carbonate system on a large exploration scale and on a small reservoir scale. The book emphasizes the newest approaches in seismic visualization, seismic sedimentology and stratigraphy, seismic attribute analysis and their application for building improved 3-D reservoir models. Among the topics covered are the delineation of the complex histories of carbonate platform sequences from seismic data, the relationships between geometries and forming processes, the imaging of faults for improved mapping of potential fluid migration pathways, and use of seismic attributes for the extraction of rock properties in the sedimentary bodies. The book illustrates the power of integrating seismic and geological data to better predict of the architecture and heterogeneities in carbonate depositional systems. As such the book will be a useful reference for both geologists and geophysicists.

Overview

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Integrity signals

Registry

Crossref · 10.1306/m81928

Cites

13 of 13 references verified0 citation errors · 0 not checkable

Statistics

Verification

Claims the paper makes

The claims and statistics of this paper haven’t been checked yet.

Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.

A few free checks a day · papers already verified open instantly · results are public

Self-check

Percentages, sums and reported differences re-computed from the paper’s own numbers.

The self-check needs the paper’s full text.

Citations

Cites

Show all 13 references

Metadata

Venue
American Association of Petroleum Geologists eBooks
Published
2004
OpenAlex
W2138863895
Cited by
265
References
13
FWCI
3.44
Type
book
Language
en
Open access
closed

About these checks

Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.

Statistics and arithmetic are recomputed, not judged.

Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.

What counts as a claim ›How we measure confidence ›How we check this ›

Are you an author, or do you see a problem with this page? Request a review

How to cite

Cite CoChat for the checks on this page, and the paper for its own findings.

This page
CoChat. (2026). Citation check: Seismic Imaging of Carbonate Reservoirs and Systems. https://app.cochat.ai/papers/10.1306/m81928
The paper
Seismic Imaging of Carbonate Reservoirs and Systems. (2004). American Association of Petroleum Geologists eBooks. https://doi.org/10.1306/m81928

Data sources

Bibliographic data: Semantic Scholar, OpenAlex, Crossref.

Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.