Cristin-resultat-ID: 1922658
Sist endret: 26. januar 2022, 14:43
NVI-rapporteringsår: 2021
Resultat
Vitenskapelig artikkel
2021

Paleokarst reservoirs: Efficient and flexible characterization using point-spread-function-based convolution modeling

Bidragsytere:
  • Kristian Jensen
  • Martin Kyrkjebø Johansen
  • Isabelle Christine Lecomte
  • Xavier Janson
  • Jan Tveranger og
  • Tina Kaschwich

Tidsskrift

Interpretation
ISSN 2324-8858
e-ISSN 2324-8866
NVI-nivå 1

Om resultatet

Vitenskapelig artikkel
Publiseringsår: 2021
Trykket: 2021
Volum: 9
Hefte: 2
Sider: T331 - T347

Importkilder

Scopus-ID: 2-s2.0-85106909492

Beskrivelse Beskrivelse

Tittel

Paleokarst reservoirs: Efficient and flexible characterization using point-spread-function-based convolution modeling

Sammendrag

Paleokarst originates from the collapse, degradation, and infill of karstified rock, and it typically features spatially heterogeneous elements such as breakdown products, sediment infills, and preserved open cavities on all scales. Paleokarst may further contain aquifer or hydrocarbon reservoirs and may pose a drilling hazard during exploration. Seismic characterization of paleokarst reservoirs therefore remains a challenging and important task. We have determined how the application of 2D (3D) spatial convolution operators, referred to as point-spread functions (PSFs), allows for seismic modeling of complex and heterogeneous paleokarst geology at a cost equivalent to conventional repeated 1D convolution. Unlike the latter, which only considers vertical resolution effects, PSF-based convolution modeling yields simulated prestack depth-migrated images accounting for 3D resolution effects vertically and laterally caused by acquisition geometries, frequency-band limitations, and propagation effects in the overburden. We confirm the validity of the approach by a comparison of modeled results to results obtained from a published physical modeling experiment. Finally, we present four additional separate case studies to highlight the usability and flexibility of the approach by assessing different issues and challenges pertaining to characterizing and interpreting seismic features of paleokarst. Through PSF-based convolution modeling, geoscientists working with paleokarst seismic data may be better able to understand how various acquisition and modeling parameters affect seismic images of paleokarst geology.

Bidragsytere

Kristian Jensen

  • Tilknyttet:
    Forfatter
    ved Institutt for geovitenskap ved Universitetet i Bergen

Martin Kyrkjebø Johansen

  • Tilknyttet:
    Forfatter
    ved Institutt for geovitenskap ved Universitetet i Bergen
Aktiv cristin-person

Isabelle Christine Lecomte

  • Tilknyttet:
    Forfatter
    ved Institutt for geovitenskap ved Universitetet i Bergen

Xavier Janson

  • Tilknyttet:
    Forfatter
    ved University of Texas at Austin

Jan Tveranger

  • Tilknyttet:
    Forfatter
    ved NORCE Energi og teknologi ved NORCE Norwegian Research Centre AS
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