Skip to Main Content
GEOREF RECORD

Seismic chronostratigraphy at reservoir scale; statistical modeling

Yawen He, Hongliu Zeng, Charles Kerans and Bob A. Hardage
Seismic chronostratigraphy at reservoir scale; statistical modeling (in Seismic chronostratigraphy, Stanley Rich Wharton (prefacer), Kurt J. Marfurt (prefacer), Hongliu Zeng (prefacer), Henry Posamentier (prefacer), Octavian Catuneanu (prefacer), Tracy Stark (prefacer), Nanne Hemstra (prefacer), Jesse Lomask (prefacer) and Brad Macurda (prefacer))
Interpretation (Tulsa) (May 2015) 3 (2): SN69-SN87

Abstract

We have developed a statistical modeling method to quantify the chronostratigraphic meaning of primary seismic reflections, with an emphasis on applications at reservoir scale (< 50 m). The time-correlation error (TCE) is defined as the difference between seismic events and relative geologic time (RGT). A series of statistically simulated impedance models with flat chronostratigraphic surfaces was generated from a subsurface data set to describe gradual lithofacies changes in contemporaneous strata and to account for vertical cyclicity from seed wireline logs. We converted these models to realistic seismic records using an exploding-reflector algorithm. The TCE from the seismic models was positively correlated to the lateral impedance variation, in which the TCE magnitude for a model of complex impedance variation could be quite significant. For example, a maximum, two-event, 32.5-m TCE had been observed in a small 1 X 1-km model. An increase in wavelet frequency in general reduced the TCE and improved the seismic chronostratigraphic correlation. In addition, a preliminary test confirmed that amplitude variance in the seismic model was related to lateral impedance variation and could be used to predict TCE. Therefore, certain attributes (such as amplitude variance) were useful in developing tools for generating TCE-based, hybrid, and RGT volumes from field seismic data. This strategy integrated the advantages, and avoided the disadvantages, of the present methods.


ISSN: 2324-8858
EISSN: 2324-8866
Serial Title: Interpretation (Tulsa)
Serial Volume: 3
Serial Issue: 2
Title: Seismic chronostratigraphy at reservoir scale; statistical modeling
Title: Seismic chronostratigraphy
Author(s): He, YawenZeng, HongliuKerans, CharlesHardage, Bob A.
Author(s): Wharton, Stanley Richprefacer
Author(s): Marfurt, Kurt J.prefacer
Author(s): Zeng, Hongliuprefacer
Author(s): Posamentier, Henryprefacer
Author(s): Catuneanu, Octavianprefacer
Author(s): Stark, Tracyprefacer
Author(s): Hemstra, Nanneprefacer
Author(s): Lomask, Jesseprefacer
Author(s): Macurda, Bradprefacer
Affiliation: University of Texas at Austin, Department of Geological Sciences, Austin, TX, United States
Affiliation: Saudi Aramco, Dhahran, Saudi Arabia
Pages: SN69-SN87
Published: 201505
Text Language: English
Publisher: Society of Exploration Geophysicists, Tulsa, OK, United States
References: 57
Accession Number: 2015-073932
Categories: Applied geophysics
Document Type: Serial
Bibliographic Level: Analytic
Illustration Description: illus. incl. block diags., 1 table, sects.
Secondary Affiliation: University of Oklahoma, USA, United StatesBureau of Economic Geology, USA, United StatesUniversity of Alberta, CAN, CanadaSTARK Reseach, USA, United StatesdGB Earth Sciences, BRA, BrazilHalliburton, USA, United StatesThe Energists, 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: 201532
Close Modal
This Feature Is Available To Subscribers Only

Sign In or Create an Account

Close Modal
Close Modal