Seismic attribute for hydrocarbon expressions in stack section

Mohammed Farfour, Wang Jung Yoon

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

Stacking process in seismic data processing is a simple and powerful tool commonly used to remove undesired random noise and enhance signal to noise ratio. Basically, the process averages traces from prestack gathers (angles or CDPs) so that they present normal-incidence reflections in stack sections. Experience has showed that hydrocarbons-bearing sediments are generally characterized by anomalous amplitude changes relative to their background from an offset to another. This can result in interesting seismic expressions in the stack section that can help identify reservoirs and delineate their extensions. This paper investigates the conceptual assumptions behind stacking and amplitude variation with offset (AVO). A new attribute is presented and used to detect and extract anomalies associated with hydrocarbon sand reservoirs from their background. The attribute has been examined on real datasets from different fields. The seismic-weighted instantaneous energy attribute showed excellent results in delineating bright spots associated with shallow gas accumulations as well as revealing stratigraphic features of two productive sand-filled channels. Indeed, the paper provides a new insight into seismic stack data analysis and interpretation.

Original languageEnglish
Pages (from-to)66-75
Number of pages10
JournalJournal of Applied Geophysics
Volume111
DOIs
Publication statusPublished - Dec 1 2014

Fingerprint

hydrocarbons
hydrocarbon
stacking
sands
stratigraphic feature
sand
data interpretation
random noise
signal-to-noise ratio
seismic data
sediments
signal to noise ratios
incidence
anomalies
anomaly
gases
gas
sediment
energy
attribute

Keywords

  • Amplitude anomaly
  • Bright spot
  • Seismic attribute
  • Stacking

ASJC Scopus subject areas

  • Geophysics

Cite this

Seismic attribute for hydrocarbon expressions in stack section. / Farfour, Mohammed; Yoon, Wang Jung.

In: Journal of Applied Geophysics, Vol. 111, 01.12.2014, p. 66-75.

Research output: Contribution to journalArticle

@article{709dcc70d2584e5790d8059b4b047b1b,
title = "Seismic attribute for hydrocarbon expressions in stack section",
abstract = "Stacking process in seismic data processing is a simple and powerful tool commonly used to remove undesired random noise and enhance signal to noise ratio. Basically, the process averages traces from prestack gathers (angles or CDPs) so that they present normal-incidence reflections in stack sections. Experience has showed that hydrocarbons-bearing sediments are generally characterized by anomalous amplitude changes relative to their background from an offset to another. This can result in interesting seismic expressions in the stack section that can help identify reservoirs and delineate their extensions. This paper investigates the conceptual assumptions behind stacking and amplitude variation with offset (AVO). A new attribute is presented and used to detect and extract anomalies associated with hydrocarbon sand reservoirs from their background. The attribute has been examined on real datasets from different fields. The seismic-weighted instantaneous energy attribute showed excellent results in delineating bright spots associated with shallow gas accumulations as well as revealing stratigraphic features of two productive sand-filled channels. Indeed, the paper provides a new insight into seismic stack data analysis and interpretation.",
keywords = "Amplitude anomaly, Bright spot, Seismic attribute, Stacking",
author = "Mohammed Farfour and Yoon, {Wang Jung}",
year = "2014",
month = "12",
day = "1",
doi = "10.1016/j.jappgeo.2014.09.021",
language = "English",
volume = "111",
pages = "66--75",
journal = "Journal of Applied Geophysics",
issn = "0926-9851",
publisher = "Elsevier",

}

TY - JOUR

T1 - Seismic attribute for hydrocarbon expressions in stack section

AU - Farfour, Mohammed

AU - Yoon, Wang Jung

PY - 2014/12/1

Y1 - 2014/12/1

N2 - Stacking process in seismic data processing is a simple and powerful tool commonly used to remove undesired random noise and enhance signal to noise ratio. Basically, the process averages traces from prestack gathers (angles or CDPs) so that they present normal-incidence reflections in stack sections. Experience has showed that hydrocarbons-bearing sediments are generally characterized by anomalous amplitude changes relative to their background from an offset to another. This can result in interesting seismic expressions in the stack section that can help identify reservoirs and delineate their extensions. This paper investigates the conceptual assumptions behind stacking and amplitude variation with offset (AVO). A new attribute is presented and used to detect and extract anomalies associated with hydrocarbon sand reservoirs from their background. The attribute has been examined on real datasets from different fields. The seismic-weighted instantaneous energy attribute showed excellent results in delineating bright spots associated with shallow gas accumulations as well as revealing stratigraphic features of two productive sand-filled channels. Indeed, the paper provides a new insight into seismic stack data analysis and interpretation.

AB - Stacking process in seismic data processing is a simple and powerful tool commonly used to remove undesired random noise and enhance signal to noise ratio. Basically, the process averages traces from prestack gathers (angles or CDPs) so that they present normal-incidence reflections in stack sections. Experience has showed that hydrocarbons-bearing sediments are generally characterized by anomalous amplitude changes relative to their background from an offset to another. This can result in interesting seismic expressions in the stack section that can help identify reservoirs and delineate their extensions. This paper investigates the conceptual assumptions behind stacking and amplitude variation with offset (AVO). A new attribute is presented and used to detect and extract anomalies associated with hydrocarbon sand reservoirs from their background. The attribute has been examined on real datasets from different fields. The seismic-weighted instantaneous energy attribute showed excellent results in delineating bright spots associated with shallow gas accumulations as well as revealing stratigraphic features of two productive sand-filled channels. Indeed, the paper provides a new insight into seismic stack data analysis and interpretation.

KW - Amplitude anomaly

KW - Bright spot

KW - Seismic attribute

KW - Stacking

UR - http://www.scopus.com/inward/record.url?scp=84907978050&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=84907978050&partnerID=8YFLogxK

U2 - 10.1016/j.jappgeo.2014.09.021

DO - 10.1016/j.jappgeo.2014.09.021

M3 - Article

VL - 111

SP - 66

EP - 75

JO - Journal of Applied Geophysics

JF - Journal of Applied Geophysics

SN - 0926-9851

ER -