Stratigraphic forward models encode what we know about dynamic stratigraphy in the form of a numerical model that can make various types of predictions of stratal geometries and facies distributions. Unfortunately, limited knowledge of the physical laws that govern various stratigraphic processes, incomplete knowledge of initial conditions, and limited computational power mean that such models have only limited predictive power typically better applied to issues such as reservoir presence rather than reservoir quality of detailed structure. Consequently, current examples of stratigraphic forward models are best used for exploration scale subsurface prediction using a multiple scenario probabilistic approach that is particularly well suited ...
© 2015 Elsevier Ltd. Current static reservoir models are created by quantitative integration of inte...
Two-dimensional nonlinear dynamic analyses (NDAs) are performed for a series of hypothetical embankm...
This research aims to develop new workflows that enable the generation of model outputs with improve...
Stratigraphic forward models encode what we know about dynamic stratigraphy in the form of a numeric...
Stratigraphic forward models encode what we know about dynamic stratigraphy in the form of a numeric...
Stratigraphic forward models encode what we know about dynamic stratigraphy in the form of a numeric...
The combination of Stratigraphic Forward Modelling and geostatistical technique can be used to impro...
Abstract: Pinpointing the location of reservoir rocks and stratigraphic traps is crucial to the cost...
In this work an integrated methodological and operational framework for diagnosis and calibration of...
In this work an integrated methodological and operational framework for diagnosis and calibration of...
In this work an integrated methodological and operational framework for diagnosis and calibration of...
In this work an integrated methodological and operational framework for diagnosis and calibration of...
In this work an integrated methodological and operational framework for diagnosis and calibration of...
Two-dimensional nonlinear dynamic analyses (NDAs) are performed for a series of hypothetical embankm...
Current static reservoir models are created by quantitative integration of interpreted well and seis...
© 2015 Elsevier Ltd. Current static reservoir models are created by quantitative integration of inte...
Two-dimensional nonlinear dynamic analyses (NDAs) are performed for a series of hypothetical embankm...
This research aims to develop new workflows that enable the generation of model outputs with improve...
Stratigraphic forward models encode what we know about dynamic stratigraphy in the form of a numeric...
Stratigraphic forward models encode what we know about dynamic stratigraphy in the form of a numeric...
Stratigraphic forward models encode what we know about dynamic stratigraphy in the form of a numeric...
The combination of Stratigraphic Forward Modelling and geostatistical technique can be used to impro...
Abstract: Pinpointing the location of reservoir rocks and stratigraphic traps is crucial to the cost...
In this work an integrated methodological and operational framework for diagnosis and calibration of...
In this work an integrated methodological and operational framework for diagnosis and calibration of...
In this work an integrated methodological and operational framework for diagnosis and calibration of...
In this work an integrated methodological and operational framework for diagnosis and calibration of...
In this work an integrated methodological and operational framework for diagnosis and calibration of...
Two-dimensional nonlinear dynamic analyses (NDAs) are performed for a series of hypothetical embankm...
Current static reservoir models are created by quantitative integration of interpreted well and seis...
© 2015 Elsevier Ltd. Current static reservoir models are created by quantitative integration of inte...
Two-dimensional nonlinear dynamic analyses (NDAs) are performed for a series of hypothetical embankm...
This research aims to develop new workflows that enable the generation of model outputs with improve...