CSSR researchers will present four papers at the upcoming SPE Norway Subsurface Conference to be held in Bergen on April 17, 2024. The annual event is Norway’s Only Dedicated Event Addressing Well, Drilling, Completion and Reservoir Management Issues.
The papers reflect CSSR’s efforts to advance new digitalization methods to aid and assist management workflows and to study complex processes within petroleum reservoirs and CO2 storage. The papers explore the use of digital rock physics, machine learning and advanced CO2 storage simulation, spanning multiple scales, from pore- to near-well to field.
Workflow for Direct Pore-scale Simulation of Relative Permeability and Capillary Pressure Curves with Hysteresis at Low Capillary Numbers
Authors: E. Jettestuen, O. Aursjø, J.O. Helland, L. Vinningland, A. Hiorth
Session: 10 Reservoir IV
Summary; To develop an efficient and consistent numerical method to estimate relative permeability and capillary pressure curves directly from pore-scale images. Here we propose to use a single-phase flow solver to obtain relative permeabilities from static two-phase configurations, in order to mitigate effects of traditional methods that suffers from boundary effects and poor numerical resolution of phase interfaces.
Data-Driven Predictions of CO2 EOR Numerical Studies Using Machine Learning in An Open-Source Framework
Authors: J.R. Lliguizaca (UiB); D. Landa-Marbán (NORCE), S.E. Gasda (NORCE), T.H. Sandve (NORCE); Z.P. Alcorn (UiB)
Session: 10 Reservoir IV
Summary: An evaluation of machine learning (ML) assisted carbon dioxide (CO2) enhanced oil recovery (EOR) and CO2 retention predictions during water-alternating-gas (WAG) injection is presented, using an open-source framework implemented combining reservoir simulation to determine the objective values, which subsequently were used to train and test the supervised learning algorithms. The objective is to increase the speed, robustness, and accuracy of oil recovery and CO2 retention numerical estimates using open-source solutions and ML techniques.
Impact of Intermittency on Salt Precipitation During Co2 Injection
Authors: D. Landa-Marbán, N. Zamani, T.H. Sandve, S.E. Gasda
Session: ePoster II
Summary: In this paper, we study the effect of different parameters such as injection rate and capillary pressure on salt precipitation and CO2 propagation within the reservoir. The results of this study provide insight into the design and management of CO2 storage projects.
Regional CO2 Storage Simulations on the Troll Aquifer Model
Authors: S. Tveit, S. Gasda, D. Landa-Marbán, T.H. Sandve
Session: Subsurface Contributions to Energy Transition
Summary: Simulations of multi-site CO2 storage operations in the regional Troll Aquifer model is presented. An assessment of regional pressure and plume developments, and multi-site CO2 allocation will be shown.
Don’t miss out on other exciting contributions in our sister projects!
A Digital Twin for Reservoir Simulation
E. Keilegavlen, Department of Mathematics, University of Bergen; E. Fonn, K. Johannessen, T. Tegnander, SINTEF Digital; K. Eikehaug, Department of Physics and Technology, University of Bergen; J. Both, Department of Mathematics, University of Bergen; M.A. Fernø, Department of Physics and Technology, University of Bergen; T. Kvamsdal, A. Rasheed, SINTEF Digital/Norwegian University of Science and Technology; G. Eigestad, Wintershall DEA Norge; J.M. Nordbotten, Department of Mathematics, University of Bergen
Investigation of Synergy Between Extended Oil Recovery and Hydrogen Storage in a Producing Field Using the Norne Reservoir Model
Authors: B. Amiri, P.Ø. Andersen, M. Ghaedi, University of Stavanger; X. Luo, NORCE Norwegian Research Centre
