Blar i NORCE vitenarkiv på forfatter "Bhakta, Tuhin"

Viser treff 1-8 av 8

    • 4D seismic history matching 

      Oliver, Dean; Fossum, Kristian; Bhakta, Tuhin; Sandø, Ivar; Nævdal, Geir; Lorentzen, Rolf Johan (Journal article; Peer reviewed, 2021)
      Reservoir simulation models are used to forecast future reservoir behavior and to optimally manage reservoir production. These models require specification of hundreds of thousands of parameters, some of which may be ...

    • 4D seismic history matching: Assessing the use of a dictionary learning based sparse representation method 

      Soares, Ricardo; Luo, Xiaodong; Evensen, Geir; Bhakta, Tuhin (Peer reviewed; Journal article, 2020)
      It is possible to improve oil-reservoir simulation models by conditioning them on 4D seismic data. Computational issues may arise related to both storage and CPU time due to the size of the 4D seismic dataset. An approach ...

    • Accounting for model errors of rock physics models in 4D seismic history matching problems: A perspective of machine learning 

      Luo, Xiaodong; Lorentzen, Rolf Johan; Bhakta, Tuhin (Journal article; Peer reviewed, 2021)
      Model errors are ubiquitous in practical history matching problems. A common approach in the literature to accounting for model errors is to treat them as random variables following certain presumed distributions. While ...

    • Framework for forward modelling of the DigiMon data 

      Vandeweijer, Vincent; Paap, Bob; Candela, Thibault; Bhakta, Tuhin; Lien, Martha (ACT DigiMon (NORCE);D2.1, Research report, 2021)
      Deliverable D2.1 adds to the main goal of WP2 of the ACT DigiMon project, which is to develop the integrated DigiMon system. The key target for WP2 is to optimally integrate various system components into a reliable and ...

    • Iterative multilevel assimilation of inverted seismic data 

      Nezhadali, Mohammad; Bhakta, Tuhin; Fossum, Kristian; Mannseth, Trond (Peer reviewed; Journal article, 2022)
      In ensemble-based data assimilation (DA), the ensemble size is usually limited to around one hundred. Straightforward application of ensemble-based DA can therefore result in significant Monte Carlo errors, often manifesting ...

    • Multilevel Assimilation of Inverted Seismic Data With Correction for Multilevel Modeling Error 

      Nezhadali, Mohammad; Bhakta, Tuhin; Fossum, Kristian; Mannseth, Trond (Journal article; Peer reviewed, 2021)
      With large amounts of simultaneous data, like inverted seismic data in reservoir modeling, negative effects of Monte Carlo errors in straightforward ensemble-based data assimilation (DA) are enhanced, typically resulting ...

    • Project report and algorithms for integrated inversion of individual DigiMon data components 

      Bhakta, Tuhin; Mannseth, Trond; Lien, Martha; Paap, Bob; Vandeweijer, Vincent (DigiMon ACT2 (NORCE);D2.5, Research report, 2022)
      Different data types carry different information about the subsurface, so there should be advantages in combining information from different data types when seeking to infer subsurface properties such as changes in CO2 ...

    • WP2 final report 

      Paap, Bob; Candela, Thibault; Vandeweijer, Vincent; Mendrinos, Dimitris; Vladut, Gabriel; Thiem, Lukas; Landrø, Martin; Mellors, Mellors; Mannseth, Trond; Bhakta, Tuhin; Thomas, Peter James; Heggelund, Yngve; Stork, Anna; Lien, Martha; Fageraas, Bjarte; Løvheim, Leon; Åsgard, Kjetil; Koedel, Uta (ACT DigiMon (NORCE);D2.10, Research report, 2023)
      This document summarises the significant results in work package 2 of the DigiMon project. Detailed descriptions and results from each task can be found in the referenced deliverables and publications.