Defining the 3D geometry of thin shale units in the Sleipner reservoir using seismic attributes

Ponfa Roy Bitrus, David Iacopini, Clare E Bond

Research output: Contribution to journalArticle

6 Citations (Scopus)
8 Downloads (Pure)

Abstract

Defining the 3D geometry and internal architecture of reservoirs is important for prediction of hydrocarbon volumes, petroleum production and storage potential. Many reservoirs contain thin shale layers that are below seismic resolution, which act as impermeable and semi-permeable layers within a reservoir. Predicting the storage volume of a reservoir with thin shale layers from conventional seismic data is an issue due to limited seismic resolution. Further, gas chimneys indicative of gas migration pathways through thin shale layers, are not easily defined by conventional seismic data. Additional information, such as borehole data, can be used to aid mapping of shale layers, but making lateral predictions from 1D borehole data has high uncertainty. This paper presents an integrated workflow for quantitative seismic interpretation of thin shale layers and gas chimneys in the Utsira Formation of the Sleipner reservoir. The workflow combines the use of attribute and spectral analysis to add resolution to conventional seismic amplitude data. Detailed interpretation of these analyses reveals the reservoirs internal thin shale architecture, and the presence of gas chimneys. The comprehensive interpretation of the reservoirs internal structure is used to calculate a new reservoir storage volume. This is done based on the distribution of sand and interpreted shale layers within the study area, for this active CO2 storage site.
Original languageEnglish
Pages (from-to)405-425
Number of pages21
JournalMarine and Petroleum Geology
Volume78
Early online date22 Sep 2016
DOIs
Publication statusPublished - Dec 2016

Fingerprint

shale
geometry
chimneys
boreholes
gases
gas
seismic data
borehole
attribute
prediction
predictions
crude oil
spectral analysis
sands
spectrum analysis
hydrocarbons
petroleum
hydrocarbon
sand
chimney

Keywords

  • seismic
  • reservoir
  • thin shale beds
  • seismic attributes
  • Utsira formation
  • co2 storage
  • Sleipner

Cite this

Defining the 3D geometry of thin shale units in the Sleipner reservoir using seismic attributes. / Bitrus, Ponfa Roy; Iacopini, David; Bond, Clare E.

In: Marine and Petroleum Geology, Vol. 78, 12.2016, p. 405-425.

Research output: Contribution to journalArticle

@article{b50923fbf596411ab06bf88cf8d6c18d,
title = "Defining the 3D geometry of thin shale units in the Sleipner reservoir using seismic attributes",
abstract = "Defining the 3D geometry and internal architecture of reservoirs is important for prediction of hydrocarbon volumes, petroleum production and storage potential. Many reservoirs contain thin shale layers that are below seismic resolution, which act as impermeable and semi-permeable layers within a reservoir. Predicting the storage volume of a reservoir with thin shale layers from conventional seismic data is an issue due to limited seismic resolution. Further, gas chimneys indicative of gas migration pathways through thin shale layers, are not easily defined by conventional seismic data. Additional information, such as borehole data, can be used to aid mapping of shale layers, but making lateral predictions from 1D borehole data has high uncertainty. This paper presents an integrated workflow for quantitative seismic interpretation of thin shale layers and gas chimneys in the Utsira Formation of the Sleipner reservoir. The workflow combines the use of attribute and spectral analysis to add resolution to conventional seismic amplitude data. Detailed interpretation of these analyses reveals the reservoirs internal thin shale architecture, and the presence of gas chimneys. The comprehensive interpretation of the reservoirs internal structure is used to calculate a new reservoir storage volume. This is done based on the distribution of sand and interpreted shale layers within the study area, for this active CO2 storage site.",
keywords = "seismic, reservoir, thin shale beds, seismic attributes, Utsira formation, co2 storage, Sleipner",
author = "Bitrus, {Ponfa Roy} and David Iacopini and Bond, {Clare E}",
note = "Acknowledgments The seismic interpretation and image processing was carried out in the SeisLab facility at the University of Aberdeen (sponsored by BG BP and Chevron). Seismic imaging analysis was performed using GeoTeric (ffA), and analysis of seismic amplitudes was performed in Petrel 2015 (Schlumberger). We would like to thank the NDDC (RG11766-10) for funding this research and Statoil for the release of the Sleipner field seismic dataset utilized in this research paper and also Anne-Kari Furre and her colleagues for their assistance. We also thank the editor, Alejandro Escalona and the two anonymous reviewers for their constructive and in depth comments that improved the paper.",
year = "2016",
month = "12",
doi = "10.1016/j.marpetgeo.2016.09.020",
language = "English",
volume = "78",
pages = "405--425",
journal = "Marine and Petroleum Geology",
issn = "0264-8172",
publisher = "Elsevier",

}

TY - JOUR

T1 - Defining the 3D geometry of thin shale units in the Sleipner reservoir using seismic attributes

AU - Bitrus, Ponfa Roy

AU - Iacopini, David

AU - Bond, Clare E

N1 - Acknowledgments The seismic interpretation and image processing was carried out in the SeisLab facility at the University of Aberdeen (sponsored by BG BP and Chevron). Seismic imaging analysis was performed using GeoTeric (ffA), and analysis of seismic amplitudes was performed in Petrel 2015 (Schlumberger). We would like to thank the NDDC (RG11766-10) for funding this research and Statoil for the release of the Sleipner field seismic dataset utilized in this research paper and also Anne-Kari Furre and her colleagues for their assistance. We also thank the editor, Alejandro Escalona and the two anonymous reviewers for their constructive and in depth comments that improved the paper.

PY - 2016/12

Y1 - 2016/12

N2 - Defining the 3D geometry and internal architecture of reservoirs is important for prediction of hydrocarbon volumes, petroleum production and storage potential. Many reservoirs contain thin shale layers that are below seismic resolution, which act as impermeable and semi-permeable layers within a reservoir. Predicting the storage volume of a reservoir with thin shale layers from conventional seismic data is an issue due to limited seismic resolution. Further, gas chimneys indicative of gas migration pathways through thin shale layers, are not easily defined by conventional seismic data. Additional information, such as borehole data, can be used to aid mapping of shale layers, but making lateral predictions from 1D borehole data has high uncertainty. This paper presents an integrated workflow for quantitative seismic interpretation of thin shale layers and gas chimneys in the Utsira Formation of the Sleipner reservoir. The workflow combines the use of attribute and spectral analysis to add resolution to conventional seismic amplitude data. Detailed interpretation of these analyses reveals the reservoirs internal thin shale architecture, and the presence of gas chimneys. The comprehensive interpretation of the reservoirs internal structure is used to calculate a new reservoir storage volume. This is done based on the distribution of sand and interpreted shale layers within the study area, for this active CO2 storage site.

AB - Defining the 3D geometry and internal architecture of reservoirs is important for prediction of hydrocarbon volumes, petroleum production and storage potential. Many reservoirs contain thin shale layers that are below seismic resolution, which act as impermeable and semi-permeable layers within a reservoir. Predicting the storage volume of a reservoir with thin shale layers from conventional seismic data is an issue due to limited seismic resolution. Further, gas chimneys indicative of gas migration pathways through thin shale layers, are not easily defined by conventional seismic data. Additional information, such as borehole data, can be used to aid mapping of shale layers, but making lateral predictions from 1D borehole data has high uncertainty. This paper presents an integrated workflow for quantitative seismic interpretation of thin shale layers and gas chimneys in the Utsira Formation of the Sleipner reservoir. The workflow combines the use of attribute and spectral analysis to add resolution to conventional seismic amplitude data. Detailed interpretation of these analyses reveals the reservoirs internal thin shale architecture, and the presence of gas chimneys. The comprehensive interpretation of the reservoirs internal structure is used to calculate a new reservoir storage volume. This is done based on the distribution of sand and interpreted shale layers within the study area, for this active CO2 storage site.

KW - seismic

KW - reservoir

KW - thin shale beds

KW - seismic attributes

KW - Utsira formation

KW - co2 storage

KW - Sleipner

U2 - 10.1016/j.marpetgeo.2016.09.020

DO - 10.1016/j.marpetgeo.2016.09.020

M3 - Article

VL - 78

SP - 405

EP - 425

JO - Marine and Petroleum Geology

JF - Marine and Petroleum Geology

SN - 0264-8172

ER -