Analysing lithological complexity in outcrop-scale seismic models of interbedded siliciclastics and carbonates from Svalbard

Thin sedimentary units typically constitute a large part of the volume of reservoirs targeted for hydrocarbons, CO 2 storage, or groundwater but are considered to be below resolution thresholds of conventional seismic reflection data. Nonetheless, they affect seismic imaging through interference, and where lithology varies significantly over short distances, reflection characteristics may change laterally. This is especially valid for interbedded siliciclastic-carbonate systems characterised by lateral and vertical changes in lithology. We use high-resolution digital outcrop models of two interbedded siliciclastic-carbonate outcrops from Svalbard as input for seismic modelling using a 2D point-spread-function based convolution. The digital outcrop models show Carboniferous to Triassic strata, from southern Spitsbergen and Bjørnøya. We investigate detection thresholds (bed thickness, layer geometry, lithologic variability) and discuss their implications for resolvability on seismic data. Our base-case seismic models illustrate that units below the vertical resolution can be detected, even at high velocities (5 – 5.5 km/s). We present 6 scenarios to test the influence of thin (metre-scale) beds, lithological variability, faults, karstification, and imaging parameters on the seismic models. They illustrate that in mixed successions variations in reflection amplitudes, dimming and tuning effects become important for recognising thin units. Additionally, thin interfingering units can create artefacts such as apparent “faults”, thus leading to misinterpretation of seismic sections in this type of depositional setting. Varying seismic imaging parameters, such as adding random noise or reducing dominant frequency decrease the detectability of thin units. • Digital outcrop to seismic models of interbedded siliciclastic-carbonate outcrops. • Integration of sedimentological and wireline data for rock property estimation. • Thin geological units can be resolved or detected with seismic tuning or dimming effects. • Geological features with high acoustic impedance contrasts increase the detectability of thin units. • Lowering frequency or adding noise decreases detectability further for the interbedded thin units.

Authors

Institutions

Publication Details

Journal
Marine and Petroleum Geology
Published
2025-05-30
DOI
https://doi.org/10.1016/j.marpetgeo.2025.107494
Primary Topic
Hydrocarbon exploration and reservoir analysis
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Analysing lithological complexity in outcrop-scale seismic models of interbedded siliciclastics and carbonates from Svalbard

Aleksandra Smyrak‐Sikora, Alvar Braathen, Isabelle Lecomte, Kim Senger et al.
Marine and Petroleum Geology
Hydrocarbon exploration and reservoir analysis
article

Analysing lithological complexity in outcrop-scale seismic models of interbedded siliciclastics and carbonates from Svalbard

Aleksandra Smyrak‐Sikora, Alvar Braathen, Isabelle Lecomte, Kim Senger, Lars Stemmerik, Anders Dahlin
article en

Abstract

Thin sedimentary units typically constitute a large part of the volume of reservoirs targeted for hydrocarbons, CO 2 storage, or groundwater but are considered to be below resolution thresholds of conventional seismic reflection data. Nonetheless, they affect seismic imaging through interference, and where lithology varies significantly over short distances, reflection characteristics may change laterally. This is especially valid for interbedded siliciclastic-carbonate systems characterised by lateral and vertical changes in lithology. We use high-resolution digital outcrop models of two interbedded siliciclastic-carbonate outcrops from Svalbard as input for seismic modelling using a 2D point-spread-function based convolution. The digital outcrop models show Carboniferous to Triassic strata, from southern Spitsbergen and Bjørnøya. We investigate detection thresholds (bed thickness, layer geometry, lithologic variability) and discuss their implications for resolvability on seismic data. Our base-case seismic models illustrate that units below the vertical resolution can be detected, even at high velocities (5 – 5.5 km/s). We present 6 scenarios to test the influence of thin (metre-scale) beds, lithological variability, faults, karstification, and imaging parameters on the seismic models. They illustrate that in mixed successions variations in reflection amplitudes, dimming and tuning effects become important for recognising thin units. Additionally, thin interfingering units can create artefacts such as apparent “faults”, thus leading to misinterpretation of seismic sections in this type of depositional setting. Varying seismic imaging parameters, such as adding random noise or reducing dominant frequency decrease the detectability of thin units. • Digital outcrop to seismic models of interbedded siliciclastic-carbonate outcrops. • Integration of sedimentological and wireline data for rock property estimation. • Thin geological units can be resolved or detected with seismic tuning or dimming effects. • Geological features with high acoustic impedance contrasts increase the detectability of thin units. • Lowering frequency or adding noise decreases detectability further for the interbedded thin units.

Marine and Petroleum GeologyVol. 181
University of Oslo (NO), Geological Survey of Denmark and Greenland (DK), NTNU Samfunnsforskning (NO), University of Bergen (NO)
Climate action
Openalex Percentile: Top 87%
Hydrocarbon exploration and reservoir analysis
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.