• Assuring the integrity of offshore carbon dioxide storage 

      Connelly, D.P.; Bull, J.M.; Flohr, A.; Schaap, A.; Koopmans, D.; Blackford, J.C.; White, P.R.; James, R.H.; Pearce, C.; Lichtschlag, A.; Achterberg, E.P.; de Beer, D; Roche, B.; Li, J.; Saw, K.; Alendal, Guttorm; Avlesen, Helge; Brown, R.; Borisov, S.M.; Böttner, C.; Cazenave, P.W.; Chen, B.; Dale, A.W.; Dean, M.; Dewar, M.; Esposito, M.; Gros, J.; Hanz, R.; Haeckel, M.; Hosking, B.; Huvenne, V.; Karstens, Jens; Le Bas, T.; Leighton, T.G.; Linke, P.; Loucaides, S.; Matter, J.M.; Monk, S.; Mowlem, M.C.; Oleynik, Anna; Omar, Abdirahman; Peel, K.; Provenzano, G.; Saleem, U.; Schmidt, M.; Schramm, B.; Sommer, S.; Strong, J.; Suarez, I. Falcon; Ungerboeck, B.; Widdicombe, S.; Wright, H.; Yakushev, Evgeniy (Journal article; Peer reviewed, 2022)
      Carbon capture and storage is a key mitigation strategy proposed for keeping the global temperature rise below 1.5 °C. Offshore storage can provide up to 13% of the global CO2 reduction required to achieve the Intergovernmental ...
    • Binary time series classification with Bayesian convolutional neural networks when monitoring for marine gas discharges 

      Gundersen, Kristian; Alendal, Guttorm; Oleynik, Anna; Blaser, Nello (Journal article; Peer reviewed, 2020-06-19)
      The world’s oceans are under stress from climate change, acidification and other human activities, and the UN has declared 2021–2030 as the decade for marine science. To monitor the marine waters, with the purpose of ...
    • A comparison of Monte Carlo sampling methods for metabolic network models 

      Fallahi, Shirin; Skaug, Hans J.; Alendal, Guttorm (Journal article; Peer reviewed, 2020)
      Reaction rates (fluxes) in a metabolic network can be analyzed using constraint-based modeling which imposes a steady state assumption on the system. In a deterministic formulation of the problem the steady state assumption ...
    • Covering tour problem with varying coverage: Application to marine environmental monitoring 

      Torabi, Parisa; Oleynik, Anna; Hemmati, Ahmad; Alendal, Guttorm (Journal article; Peer reviewed, 2023)
      In this paper, we present a novel variant of the Covering Tour Problem (CTP), called the Covering Tour Problem with Varying Coverage (CTP-VC). We consider a simple graph 𝐺 = (𝑉 ,𝐸), with a measure of importance assigned ...
    • Detection and quantification of CO2 seepage in seawater using the stoichiometric Cseep method: Results from a recent subsea CO2 release experiment in the North Sea 

      Omar, Abdirahman; García-Ibáñez, Maribel I.; Schaap, Allison; Oleynik, Anna; Esposito, Mario; Jeansson, Emil; Loucaides, Socratis; Thomas, Helmuth; Alendal, Guttorm (Journal article; Peer reviewed, 2021)
      Carbon Capture and Storage (CCS) is a potential significant mitigation strategy to combat climate change and ocean acidification. The technology is well understood but its current implementation must be scaled up nearly ...
    • Experimental design for parameter estimation in steady-state linear models of metabolic networks 

      Frøysa, Håvard G; Skaug, Hans J.; Alendal, Guttorm (Journal article; Peer reviewed, 2020-01)
      Metabolic networks are typically large, containing many metabolites and reactions. Dynamical models that aim to simulate such networks will consist of a large number of ordinary differential equations, with many kinetic ...
    • Impact and detectability of hypothetical CCS offshore seep scenarios as an aid to storage assurance and risk assessment 

      Blackford, Jerry; Alendal, Guttorm; Avlesen, Helge; Brereton, Ashley; Cazenave, Pierre W; Chen, Baixin; Dewar, Marius; Holt, Jason; Phelps, Jack (Journal article; Peer reviewed, 2020)
      Carbon Capture and Storage has the potential to make a significant contribution to the mitigation of climate change, however there is a regulatory and societal obligation to demonstrate storage robustness and minimal local ...
    • Integrative omics-analysis of lipid metabolism regulation by peroxisome proliferator-activated receptor a and b agonists in male Atlantic cod 

      Eide, Marta; Goksøyr, Anders; Yadetie, Fekadu; Gilabert, Alejandra; Bartosova, Zdenka; Frøysa, Håvard Guldbrandsen; Fallahi, Shirin; Zhang, Xiaokang; Blaser, Nello; Jonassen, Inge; Bruheim, Per; Alendal, Guttorm; Brun, Morten; Porte, Cinta; Karlsen, Odd André (Journal article; Peer reviewed, 2023-03-22)
      Lipid metabolism is essential in maintaining energy homeostasis in multicellular organisms. In vertebrates, the peroxisome proliferator-activated receptors (PPARs, NR1C) regulate the expression of many genes involved in ...
    • New Conceptual Toxicokinetic Model to Assess Synergistic Mixture Effects between the Aromatic Hydrocarbon β-Naphthoflavone and the Azole Nocodazole on the CYP1A Biomarker in a Fish Cell Line 

      Fallahi, Shirin; Mlnaříková, Marie; Alvord, Charlotte; Alendal, Guttorm; Frøysa, Håvard G; Lundh, Thorbjörn; Celander, Malin C. (Journal article; Peer reviewed, 2020)
      Toxicokinetic interactions with catabolic cytochrome P450 (CYP) enzymes can inhibit chemical elimination pathways and cause synergistic mixture effects. We have created a mathematical bottom-up model for a synergistic ...
    • Optimal sensors placement for detecting CO2 discharges from unknown locations on the seafloor 

      Oleynik, Anna; García-Ibáñez, Maribel I.; Blaser, Nello; Omar, Abdirahman; Alendal, Guttorm (Journal article; Peer reviewed, 2020-04)
      Assurance monitoring of the marine environment is a required and intrinsic part of CO2 storage project. To reduce the costs related to the monitoring effort, the monitoring program must be designed with optimal use of ...
    • Semi-conditional variational auto-encoder for flow reconstruction and uncertainty quantification from limited observations 

      Gundersen, Kristian; Oleynik, Anna; Blaser, Nello; Alendal, Guttorm (Journal article; Peer reviewed, 2021)
      We present a new data-driven model to reconstruct nonlinear flow from spatially sparse observations. The proposed model is a version of a Conditional Variational Auto-Encoder (CVAE), which allows for probabilistic ...
    • Towards improved monitoring of offshore carbon storage: A real-world field experiment detecting a controlled sub-seafloor CO2 release 

      Flohr, Anita; Schaap, Allison; Achterberg, Eric P.; Alendal, Guttorm; Arundell, Martin; Berndt, Christian; Blackford, Jeremy; Bröttner, Christoph; Borisov, Sergey M.; Brown, Robin; Bull, Jonathan M.; Carter, Liam; Chen, Baixin; Dale, Andrew W.; De Beer, Dirk; Dean, Marcella; Deusner, Christian; Dewar, Marius; Durden, Jennifer M.; Elsen, Saskia; Esposito, Mario; Faggetter, Michael; Fischer, Jan P.; Gana, Amine; Gros, Jonas; Haeckel, Matthias; Hanz, Rudolf; Holtappels, Moritz; Hosking, Brett; Huvenne, Veerle A.I.; James, Rachael H.; Koopmans, Dirk; Kossel, Elke; Leighton, Timothy G.; Li, Jianghui; Lichtschlag, Anna; Linke, Peter; Loucaides, Socratis; Martínez-Cabanas, María; Matter, Juerg M.; Mesher, Thomas; Monk, Samuel; Mowlem, Matthew C.; Oleynik, Anna; Papadimitriou, Stathys; Paxton, David; Pearce, Christopher R.; Peel, Kate; Roche, Ben; Connelly, Douglas (Journal article; Peer reviewed, 2021)
      Carbon capture and storage (CCS) is a key technology to reduce carbon dioxide (CO2) emissions from industrial processes in a feasible, substantial, and timely manner. For geological CO2 storage to be safe, reliable, and ...