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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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https://doi.org/10.5194/gmd-2020-37
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-2020-37
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: development and technical paper 24 Jun 2020

Submitted as: development and technical paper | 24 Jun 2020

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This preprint is currently under review for the journal GMD.

Porosity and Permeability Prediction through Forward Stratigraphic Simulations Using GPMTM and PetrelTM: Application in Shallow Marine Depositional Settings

Daniel Otoo and David Hodgetts Daniel Otoo and David Hodgetts
  • Department of Earth and Environmental Sciences, University of Manchester, Manchester, M13 9PL, UK

Abstract. The forward stratigraphic simulation approach is used in this work to predict porosity and permeability attributes in the Volve field, Norway. This was achieved by using spatial data from the forward stratigraphic model to control the distribution of porosity and permeability. Building a subsurface property model that fits data at different locations in a hydrocarbon reservoir is a task associated with high levels of uncertainty. An appropriate means to minimise property representation uncertainties is to use geologically realistic sediment distribution and or stratigraphic patterns to predict lithofacies units as well as petrophysical properties. The workflow used are in three parts; first, the geological process modeling (GPMTM) software developed by Schlumberger was used to simulate scenarios of sediment deposition in the model area. Secondly, an estimation of lithofacies proportions in the stratigraphic model was done using the property calculator tool in the PetrelTM software. Finally, porosity and permeability values are assigned to corresponding lithofacies-associations in the forward model to produce a forward stratigraphic-based petrophysical model. Results show a lithofacies distribution that is strongly controlled by sediment diffusion rate, sea level variation, flow rate, wave processes, and tectonic events. This observation is consistent with real-world events were sea level changes, volume of sediment input, and accommodation space control the kind of stratigraphic sequence formed. Validation wells prefixed VP1 and VP2 in the original Volve field petrophysical model and the forward stratigraphic-based models show a good match in porosity and permeability attributes at 5 m vertical sample intervals. By reducing the level of property uncertainty between wells through forward stratigraphic modeling, an improved porosity and permeability can be achieved for an efficient field development strategy.

Daniel Otoo and David Hodgetts

Daniel Otoo and David Hodgetts

Data sets

Data citation for a forward stratigraphic-based porosity and permeability model developed for the Volve field, Norway. D. Otoo and D. Hodgetts https://doi.org/10.5281/zenodo.3855293

Daniel Otoo and David Hodgetts

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Latest update: 22 Sep 2020
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Short summary
The work applies a forward stratigraphic simulation technique to predict lithofacies and porosity/permeability attributes away from well data. Results show realistic stratigraphic patterns, from which lithofacies, porosity and permeability properties were deduced to build 3-D models that is comparable to the original Volve field model. Taking into account the geologic past and the physical process of sedimentation in a basin, realistic property models can be derived with widely spaced wells.
The work applies a forward stratigraphic simulation technique to predict lithofacies and...
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