Home › Entities › doctoral_thesis › Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms

Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms

2018 doctoral thesis by Elvar Bjarkason at University of Auckland
Place doctoral_thesis Q112935668
Press Enter · cited answer in seconds

Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms

Summary

Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms is a doctoral thesis[1].

Key Facts

  • Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms authored Elvar Bjarkason[2].
  • Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms's instance of is recorded as doctoral thesis[3].
  • Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms's publisher is recorded as ResearchSpace@Auckland[4].
  • Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms's copyright license is recorded as Creative Commons Attribution-NonCommercial-ShareAlike 3.0 New Zealand[5].
  • Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms's country of origin is recorded as New Zealand[6].
  • Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms's publication date is recorded as +2018-00-00T00:00:00Z[7].
  • Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms's main subject is recorded as engineering physics[8].
  • Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms's work available at URL is recorded as https://researchspace.auckland.ac.nz/handle/2292/46358[9].
  • Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms's Handle ID is recorded as 2292/46358[10].
  • Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms's title is recorded as Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms[11].
  • Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms's copyright holder is recorded as Elvar Bjarkason[12].
  • Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms's thesis submitted to is recorded as University of Auckland[13].
  • Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms's on focus list of Wikimedia project is recorded as NZThesisProject[14].
  • Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms's copyright status is recorded as copyrighted[15].
  • Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms's online access status is recorded as open access[16].
  • Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms's thesis committee member is recorded as Michael John O'Sullivan[17].
  • Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms's thesis committee member is recorded as John P. O’Sullivan[18].

Body

Designation and Status

Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms's instance of is recorded as doctoral thesis[3].

References

Programmatic citations — every numbered marker resolves to a verifiable graph row below.

Direct Wikidata claims

  1. [3] ↑ . wikidata.org.
  2. [2] ↑ . hdl.handle.net. hdl.handle.net. Provenance: wikidata.org.
  3. [4] ↑ . wikidata.org.
  4. [5] ↑ . wikidata.org.
  5. [6] ↑ . wikidata.org.
  6. [7] ↑ . wikidata.org.
  7. [8] ↑ . wikidata.org.
  8. [9] ↑ . wikidata.org.
  9. [10] ↑ . wikidata.org.
  10. [11] ↑ . wikidata.org.
  11. [12] ↑ . wikidata.org.
  12. [13] ↑ . wikidata.org.
  13. [14] ↑ . wikidata.org.
  14. [15] ↑ . wikidata.org.
  15. [16] ↑ . wikidata.org.
  16. [17] ↑ . wikidata.org.
  17. [18] ↑ . wikidata.org.

Class ancestry

  1. [1] ↑ . Wikidata. wikidata.org.

📑 Cite this page

Use these citations when quoting this entity in research, articles, AI prompts, or wherever provenance matters. We aggregate Wikidata + Wikipedia + authoritative open-data sources; the stitched, scored, cross-referenced view is what 4ort.xyz contributes.

APA 4ort.xyz Knowledge Graph. (2026). Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms. Retrieved May 3, 2026, from https://4ort.xyz/entity/inversion-of-geothermal-reservoir-models-using-the-adjoint-method-and-randomized-low-rank-matrix-approximation-algorithms
MLA “Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms.” 4ort.xyz Knowledge Graph, 4ort.xyz, 3 May. 2026, https://4ort.xyz/entity/inversion-of-geothermal-reservoir-models-using-the-adjoint-method-and-randomized-low-rank-matrix-approximation-algorithms.
BibTeX @misc{4ortxyz_inversion-of-geothermal-reservoir-models-using-the-adjoint-method-and-randomized-low-rank-matrix-approximation-algorithms_2026, author = {{4ort.xyz Knowledge Graph}}, title = {{Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms}}, year = {2026}, url = {https://4ort.xyz/entity/inversion-of-geothermal-reservoir-models-using-the-adjoint-method-and-randomized-low-rank-matrix-approximation-algorithms}, note = {Accessed: 2026-05-03}}
LLM prompt According to 4ort.xyz Knowledge Graph (aggregator of Wikidata, Wikipedia, and authoritative open-data sources): Inversion of Geothermal Reservoir Models Using the Adjoint Method and Randomized Low-Rank Matrix Approximation Algorithms — https://4ort.xyz/entity/inversion-of-geothermal-reservoir-models-using-the-adjoint-method-and-randomized-low-rank-matrix-approximation-algorithms (retrieved 2026-05-03)

Canonical URL: https://4ort.xyz/entity/inversion-of-geothermal-reservoir-models-using-the-adjoint-method-and-randomized-low-rank-matrix-approximation-algorithms · Last refreshed: