Interactive (SEDPAK) simulation of clastic and carbonate sediments in shelf to basin settings

Strobel, John; Cannon, Robert; Kendall, Christopher G. St. C.; Biswas, Gautam; Bezdek, James C.

doi:10.1016/0098-3004(89)90092-7

Cited by 54 publications

(22 citation statements)

References 3 publications

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“…The dominant provenance, therefore, changed during the development of the foreland in the Silurian, as strongly supported by two-dimensional quantitative basin infill models . Quantitative forward two-dimensional sedimentary simulation was carried out by the modelling software SEDPAK 2.1 (Strobel et al 1989), with the aim of determining quantitatively the basin-infilling trends of the Baltic Basin in a foreland setting (Lazauskiene et al , 2001. The westernmost orogenic source did not provide a significant amount of sediments during the Llandovery, due to the low morphological relief along the North German-Polish Caledonides and the northerly continental margin.…”

Section: Discussionmentioning

confidence: 99%

Sequence stratigraphy of the Baltic Silurian succession: tectonic control on the foreland infill

Lazauskienė

Šliaupa²,

Brazauskas

et al. 2003

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The Baltic basin overlaps the SW margin of the East European Craton (EEC). During the Silurian its subsidence was governed by the flexural bending of the EEC margin due to the collision of Eastern Avalonia and Baltica. Two mechanisms -orogenesis and dynamic loading -were responsible for the flexural subsidence of the basin. Lithofacies, sequence-and cyclo-stratigraphic analysis were applied to reveal the tectonosedimentary evolution of the Silurian Baltic Basin, focusing on the imprint of geodynamic processes in adjacent orogens on the sedimentary architecture. Adopting a sequence stratigraphic approach, 10 depositional sequences superimposed by the lower rank cycles were identified in the Silurian Baltic Basin. The Llandovely sequences correspond with the initial stage of flexuring. The low terrigenous influx to the basin is explained by the lack of relief in the fold belt and its location at a distance from the orogenic front. The Wenlock-Lower Ludlow sequences reflect the accelerating flexuring. An increase in orogenic-sourced terrigenous material indicates the advancement of the Caledonian orogen. The Late Ludlow Pridoli sequences comprise the final stages of flexuring and basin infilling. Two major provenancescratonic and orogenic -competed to supply terrigenous sediment to the basin during Silurian times.

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Section: Discussionmentioning

confidence: 99%

Sequence stratigraphy of the Baltic Silurian succession: tectonic control on the foreland infill

Lazauskienė

Šliaupa²,

Brazauskas

et al. 2003

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“…It is based on an earlier model called SIMSAFADIM, which was principally aimed at carbonate sediments (Bitzer and Salas, 2002) and provides therefore a significant enhancement. The SIMSAFADIM approach differs from other methods in the geologic domain such as SEDSIM (Tetzlaff and Harbaugh, 1989), SEDTRANS96 (Li and Amos, 2001) and many others (Strobel et al, 1989;Lawrence et al, 1990;Granjeon and Joseph, 1999;Quiquerez et al, 2000;Syvitski and Hutton, 2001) in its simplified fluid flow simulation using a 2D potential flow model. SEDSIM is a 3D program for simulation of stratigraphic evolution of a sedimentary basin.…”

Section: Introductionmentioning

confidence: 97%

Simulating transport and deposition of clastic sediments in an elongate basin using the SIMSAFADIM-CLASTIC program: The Camarasa artificial lake case study (NE Spain)

Gratacós

Bitzer

Casamor

et al. 2009

Sedimentary Geology

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“…These rules, rather than simulating individual events, rely on a more integrated description of the morphodynamics of sedimentary environments. They are mainly based on (1) assuming predefined depositional slopes or geometrics (Burton et al, 1987;Strobel et al, 1989;Lawrence et al, 1990;Kendall et al, 1991;Shuster and Aigner, 1994;Ross et al, 1995;Bowman and Vail, 1999), (2) diffusive and advecto-diffusive equations (Kenyon and Turcotte, 1985;Bitzer and Harbaugh, 1987;Jordan and Flemings, 1991;Kaufman et al, 1991;Paola et al, 1992;Rivenaes, 1992;Driscoll and Karner, 1999;Granjeon and Joseph, 1999;Bitzer and Salas, 2002;Gratacos et al, 2009a), or (3) simplified hydrodynamic equations (Tetzlaff and Harbaugh, 1989;Wendebourg and Harbaugh, 1996;Kubo et al, 2005;Tetzlaff and Schafmeister, 2007;Hutton and Syvitski, 2008;Dalman and Weltje, 2012). Most complete SFMs combine several approaches to simulate different transport processes.…”

Section: Introduction Hydrocarbon Exploration and Stratigraphic Forwamentioning

confidence: 99%

Automatic calibration of stratigraphic forward models for predicting reservoir presence in exploration

Falivene¹,

Frascati²,

Gesbert³

et al. 2014

Bulletin

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A B S T R A C TUnderstanding and predicting reservoir presence and characteristics at regional to basin scales is important for evaluating risk and uncertainty in hydrocarbon exploration. Simulating reservoir distribution within a basin by a stratigraphic forward model enables the integration of available prior information with fundamental geologic processes embedded in the numerical model. Stratigraphic forward model predictions can be significantly improved by calibrating the models to independent constraints, such as thicknesses from seismic or well data. A three-dimensional basin-scale stratigraphic forward-modeling tool is coupled with an inversion algorithm. The inversion algorithm is a modification of the neighborhood algorithm (a type of genetic algorithm), which is designed to sample complex multimodal objective functions and is parallelized on computer clusters to accelerate convergence. The process generates a set of representative geological models that are consistent with prior ranges for uncertain parameters, calibration constraints, and associated tolerance thresholds. The workflow is first demonstrated on two data sets: a synthetic example based on a clastic passive margin and a real hydrocarbon exploration example for slope and basin-floor stratigraphic traps in the Neocomian (Lower Cretaceous) of the West Siberian Basin. The analysis of calibrated models provides constraints on stratigraphic controls, and allows prediction of locations with higher potential to develop stratigraphic traps. These locations are related to complex interactions between paleobathymetry, subsidence, eustatic fluctuations, characteristics of sediment-input sources, and sediment-transport parameters. Results show the potential of stratigraphic forward modeling O. Falivene joined Shell in 2008, and since then he has worked for research and development (R&D) developing and applying stratigraphic forward models to support worldwide exploration in clastic and carbonate settings. Oriol has a background in stratigraphy, geocellular modeling, and geostatistics (Ph.D. in modeling outcrop analogs at the University of Barcelona, Spain), and a short period working on reservoir modeling for British Petroleum.A. Frascati ∼ Shell Global Solutions International B.V.,

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Interactive (SEDPAK) simulation of clastic and carbonate sediments in shelf to basin settings

Cited by 54 publications

References 3 publications

Sequence stratigraphy of the Baltic Silurian succession: tectonic control on the foreland infill

Sequence stratigraphy of the Baltic Silurian succession: tectonic control on the foreland infill

Simulating transport and deposition of clastic sediments in an elongate basin using the SIMSAFADIM-CLASTIC program: The Camarasa artificial lake case study (NE Spain)

Automatic calibration of stratigraphic forward models for predicting reservoir presence in exploration

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