Triassic seismic sequence stratigraphy and paleogeography of the western Barents Sea area

Glørstad-Clark, Evy; Faleide, Jan Inge; Lundschien, Bjørn A.; Nystuen, Johan Petter

doi:10.1016/j.marpetgeo.2010.02.008

Cited by 181 publications

(288 citation statements)

References 55 publications

Supporting

Mentioning

280

Contrasting

Unclassified

Order By: Relevance

“…Triassic crustal extension in the North Atlantic and locally important differential compaction over the late Paleozoic grabens has played an important role in accommodation space development (Glørstad-Clark et al, 2010). Intense rifting in mid Jurassic to early Cretaceous occurred in the southwestern Barents Sea (Faleide et al, 2008(Faleide et al, , 1993.…”

Section: Tectonic Evolution Of the Southwestern Barents Seamentioning

confidence: 99%

Deep-seated faults and hydrocarbon leakage in the Snøhvit Gas Field, Hammerfest Basin, Southwestern Barents Sea

Mohammedyasin

Lippard

Omosanya

et al. 2016

Marine and Petroleum Geology

View full text Add to dashboard Cite

High-quality 3D seismic data are used to analyze the history of fault growth and hydrocarbon leakage in the Snøhvit Field, southwestern Barents Sea. The aim of this work is to evaluate the role of tectonic fracturing as a mechanism driving fluid-flow in the study area. To achieve this aim, an integrated approach including seismic interpretation, multiple seismic attribute analysis, fault modeling and displacement analysis was used.The six major faults in the study area are dip-slip normal faults which are characterized by complex lateral and vertical segmentation. The three main episodes of fault reactivation interpreted were in late Jurassic (Kimmeridgian), early Cretaceous and Paleocene times. Fault reactivation in the study area is mainly through dip-linkage. Throw-distance plots of the representative faults also revealed along-strike linkage and multi-skewed C-type profiles. The throw profiles show that faults in the study area evolved through polycyclic activity involving both blind propagation, syn-sedimentary activity and that they have their maximum displacement at the reservoir zone. The expansion and growth indices provide evidence for coeval fault activity with sedimentation and interaction of the faults with a free surface during their evolution.

show abstract

Section: Tectonic Evolution Of the Southwestern Barents Seamentioning

confidence: 99%

Deep-seated faults and hydrocarbon leakage in the Snøhvit Gas Field, Hammerfest Basin, Southwestern Barents Sea

Mohammedyasin

Lippard

Omosanya

et al. 2016

Marine and Petroleum Geology

View full text Add to dashboard Cite

show abstract

“…Carefully proc- Figure 2. hronostratigraphy of the Norwegian Barents Sea (Glørstad-Clark et al, 2010). The Havert Formation was deposited during the Early Triassic Induan stage.…”

Section: Database and Methodsmentioning

confidence: 99%

“…A northwest-prograding coastline has been suggested by Worsley (2008) during the Early Triassic, with sediments initially sourced from the Baltic shield and later from the Urals. Palaeogeographic reconstructions of the Triassic in the western Barents Sea according to Glørstad-Clark et al (2010) also indicate multiple provenance areas but with the main contribution coming from the prograding clastic wedges derived from the collapsing Uralian orogenic belt. Provenance studies (Mørk, 1999) also show a general easterly sediment source area, with a relatively minor contribution from the Fennoscandian shield to the south.…”

Section: Geologic Settingmentioning

confidence: 99%

Prestack inversion and multiattribute analysis for porosity, shale volume, and sand probability in the Havert Formation of the Goliat field, southwest Barents Sea

et al. 2017

Self Cite

View full text Add to dashboard Cite

An integrated innovative multidisciplinary approach has been used to estimate effective porosity (PHIE), shale volume (V sh ), and sand probability from prestack angle gathers and petrophysical well logs within the Lower Triassic Havert Formation in the Goliat field, Southwest Barents Sea. A rock-physics feasibility study revealed the optimum petrofacies discriminating ability of extended elastic impedance (EEI) tuned for PHIE and V sh . We then combined model-based prestack inversion outputs from a simultaneous inversion and an EEI inversion into a multilinear attribute regression analysis to estimate absolute V sh and PHIE seismic attributes. The quality of the V sh and PHIE prediction is shown to increase by integrating the EEI inversion in the workflow. Probability distribution functions and a priori petrofacies proportions extracted from the well data are then applied to the V sh and PHIE volumes to obtain clean and shaly sand probabilities. A tectonic-controlled point-source depositional model for the Havert Formation sands is then inferred from the extracted sand bodies and the seismic geomorphological character of the different attributes. IntroductionThe past two decades have seen a significant increase in the use of quantitative seismic interpretation methods to characterize the subsurface. Quantitative seismic interpretation techniques are increasingly being implemented into reservoir characterization schemes to minimize hydrocarbon exploitation risks. The measured seismic data respond to the contrasts in the effective elastic properties in the subsurface area of investigation. However, the main goal is usually aimed at characterizing the different lithofacies, porosity distribution, and fluid content responsible for the effective elastic response. These underlying properties are only indirectly measured using the available proxies in the seismic data, which are then transformed to the geologic variables of interest using rock physics.Direct hydrocarbon indicators (DHIs) from seismic data are not always successful because the seismic amplitude is a composite response of the saturated rock. Therefore, it is important to spend as much time characterizing the lithology response before fluid anomaly hunting. Reservoir quality assessment from seismic, well log, and laboratory data requires an integrated approach involving geology, petrophysics, rock physics,

show abstract

“…Subsequently, the sedimentary environment changed to mainly a siliciclastic dominated realm (Fig. 3) and the Late Permian-Triassic basins were filled with eroded material from the hinterland (Glørstad- Clark et al, 2010). During the Triassic-Jurassic times several transgressive and regressive cycles prevailed as documented by Glørstad-Clark et al (2010).…”

Section: Geological Overviewmentioning

confidence: 99%

“…3) and the Late Permian-Triassic basins were filled with eroded material from the hinterland (Glørstad- Clark et al, 2010). During the Triassic-Jurassic times several transgressive and regressive cycles prevailed as documented by Glørstad-Clark et al (2010). Widespread deltaic to alluvial systems existed in the Early Jurassic and were submerged by a Middle Jurassic regional transgression (Worsley, 2008).…”

Section: Geological Overviewmentioning

confidence: 99%

Assessment of the Cenozoic Erosion Amount Using Monte Carlo Type-Petroleum Systems Modeling of the Hammerfest Basin, Western Barents Sea

Zięba¹,

Daszinnies²,

Emmel³

et al. 2014

American Journal of Geoscience

View full text Add to dashboard Cite

The Cenozoic uplift and erosion is often believed to be a major risk factor in hydrocarbon exploration in the Barents Sea causing petroleum redistribution and leakage from filled traps. Therefore, the estimation of erosion amount is an important but often underrepresented task in the basin modeling procedure. The assessment of erosion magnitudes and spatial distribution by geochemical and thermo chronological methods results in very different estimates and/or does not consider uncertainties of input data. In this study, this problem is approached by using Monte Carlo simulation techniques in secondary migration basin modeling. Thereby, amounts of early and late Cenozoic erosion episodes are described by probability distributions and the modeling results were evaluated considering their uncertainty ranges. In addition, overpressure and related leakage scenarios are considered in the petroleum basin models to study their effect on modeling results. It is shown that the early Cenozoic erosion event had a generally higher erosion magnitude than the late Cenozoic event (1.0-1.3 and 0.4-1.2 km respectively). Modeled erosion estimates are not very sensitive to overpressure modeling which is found to affect only the early Cenozoic erosion amount estimates at low degree.

show abstract

Triassic seismic sequence stratigraphy and paleogeography of the western Barents Sea area

Cited by 181 publications

References 55 publications

Deep-seated faults and hydrocarbon leakage in the Snøhvit Gas Field, Hammerfest Basin, Southwestern Barents Sea

Deep-seated faults and hydrocarbon leakage in the Snøhvit Gas Field, Hammerfest Basin, Southwestern Barents Sea

Prestack inversion and multiattribute analysis for porosity, shale volume, and sand probability in the Havert Formation of the Goliat field, southwest Barents Sea

Assessment of the Cenozoic Erosion Amount Using Monte Carlo Type-Petroleum Systems Modeling of the Hammerfest Basin, Western Barents Sea

Contact Info

Product

Resources

About