Alv-Arne Grimstad

SINTEF

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Per Eirik Strand Bergmo

SINTEF

Erik Lindeberg

SINTEF

Trond Mannseth

NORCE Norwegian Research Centre

M.J. Egan

Durham University

Maxine Akhurst

British Geological Survey

Bernd Wiese

Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences

O. Leeuwenburgh

Netherlands Organisation for Applied Scientific Research

A. Cominelli

Eni (Italy)

Kristin Rypdal

Lakehead University

P.R. Maul

Miltenyi Biotec (Germany)

Cooperative Institutions

University of Oslo

CICERO Center for International Climate Research

Quintessa (United Kingdom)

British Geological Survey

University of Bergen

SINTEF

Helmholtz Centre Potsdam - GFZ German Research Centre for Geosciences

Centre de Géosciences

Netherlands Organisation for Applied Scientific Research

NORCE Norwegian Research Centre

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Pre-Injection Site Investigations in a Poro-Elastic Description of the Svelvik Ridge

SSRN Electronic Journal (2021)

Wolfgang Weinzierl Eduardo Barros Alv-Arne Grimstad Bernd Wiese O. Leeuwenburgh

We present the results of a rock physics driven workflow to analyze and steer a planned CO2 migration campaign, it combines a rock-physical seismic model, reservoir model and Bayesian scenario framework to assess monitoring configurations. The injection of CO2 into the subsurface requires a detailed understanding of the petrophysical properties and rock physical frame of the formation under stress. The underlying assumptions made for the unconsolidated high porosity formation have a significant impact on the expected seismic response. For a shallow aquifer pressure and saturation dependent elastic parameters are derived within a rock physical description. Distinguishing pressure and saturation related changes of the acoustic impedance is subject to the sensitivities of the properties used to derive the underlying seismic P- and S-velocities as well as densities. These uncertainties can induce a non-negligible variability in the footprint of a seismic image of the CO2 plume. The rock physics model is based on a solid frame consisting of quartz and clay and saturated with water and gas. The integrated workflow coupled with dynamic simulations provides a possibility to define and evaluate conformance measures during operation. Within this context the workflow is applied to the extended Svelvik CO2 field laboratory, which can be considered as a big sandbox model with capabilities for up-scaling to larger storage formations. An experimental design assessing the sensitivity of the information present for the site is translated into a scenario-based ensemble of dynamic models. Following, a practical quantitative workflow for a-priori assessment of monitoring strategies in probabilistic conformance verification is demonstrated. The results provide insight into the impact of different aspects of geophysical monitoring configurations (e.g., sparsity, noise levels, detection thresholds and timing) on the conformance verification accuracy.

10.2139/ssrn.3813040

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Citations (0)

Comparison of Methods for Downscaling of Coarse Scale Permeability Estimates

Alv-Arne Grimstad Trond Mannseth

1 B008 COMPARISON OF METHODS FOR DOWNSCALING OF COARSE SCALE PERMEABILITY ESTIMATES Alv-Arne Grimstad 1 and Trond Mannseth 1 2 1 RF-Rogaland Research 2 Now with CIPR - Centre for Integrated Petroleum Research University of Bergen Abstract Fine scale reservoir models with all available information integrated are important for predictions of future behavior. Traditionally fine-scale realizations of the geostatistical model are adjusted in some way to integrate production data. Since these data do not support high resolution of the permeability representation strong regularization of the history matching problem is needed. In this paper we study how integration of information may

10.3997/2214-4609-pdb.9.b008

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Citations (8)

Mapping of paleo residual oil zones on the NCS and the potential for production by CO2-EOR

International journal of greenhouse gas control (2018)

Per Eirik Strand Bergmo Alv-Arne Grimstad K. Kurtev

Residual oil

Oil Production

Oil in place

10.1016/j.ijggc.2018.06.005

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Citations (9)

Identification of Unknown Permeability Trends From History Matching of Production Data

SPE Journal (2004)

Alv-Arne Grimstad Trond Mannseth S. I. Aanonsen Ivar Aavatsmark A. Cominelli

Summary We investigate how a priori unknown large-scale permeability structures such as channels or barriers can be identified from history matching of production data, using Adaptive Multiscale Estimation (AME). With Multiscale Estimation (ME) of the permeability, we solve a sequence of parameter estimation problems with increasing resolution for the permeability until a match is obtained. With AME—and contrary to Ordinary Multiscale Estimation (OME)—the parameterization refinement is not the same all over the reservoir. We aim at introducing new degrees of freedom in the permeability parameterization only where it is warranted by the production data. The paper describes the principles of AME and extends AME to corner-point grids on nonrectangular 2D reservoirs. On 2D synthetic examples with simplistic geometry, we demonstrate how AME is able to completely identify simply shaped large-scale permeability trends and how it avoids overparameterization. On 2D synthetic examples with more complex geometry (field-scale synthetic examples), AME is found to identify large-scale trends. When the large-scale trend has a more complex shape, AME identifies a similar trend of less complex shape at approximately the same location. The identification of the permeability trends for the field-scale synthetic examples can, however, be improved upon, and, for example, use of coarsening (as well as refinement) in the parameterization selection will be further considered in future work.

Relative permeability

Synthetic data

10.2118/77485-pa

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Citations (19)

Hypothetical Impact Scenarios for CO2 Leakage from Storage Sites

Energy Procedia (2013)

Alan Paulley Richard Metcalfe M.J. Egan P.R. Maul Laura Limer

Underground CO2 storage facilities are designed to contain CO2 permanently and the expected performance scenario is that no CO2 leakage from the storage complex will occur. However, it is necessary to assess the possible environmental impacts of CO2 leakage in the unlikely event that a storage system evolves differently from the design aim. The RISCS project is being undertaken under the European Union's 7th Framework Programme to research these potential impacts. To help focus RISCS research and aid communication of the results, a set of reference terrestrial and marine European receptor environments and associated impact scenario descriptions were defined systematically by evidence-based expert elicitation.

Leakage (economics)

10.1016/j.egypro.2013.06.240

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Citations (15)

Simultaneous CO2 injection and water production to optimise aquifer storage capacity

International journal of greenhouse gas control (2010)

Per Eirik Strand Bergmo Alv-Arne Grimstad Erik Lindeberg

Storage efficiency

10.1016/j.ijggc.2010.09.002

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Citations (127)

Storage Readiness Levels: communicating the maturity of site technical understanding, permitting and planning needed for storage operations using CO2