Výsledky vyhledávání - "Satinder Chopra"

Seismic reservoir characterization of the Gassum Formation in the Stenlille aquifer gas storage, Denmark — Part 2: Unsupervised classification

Autor: Satinder Chopra, Ritesh Kumar Sharma, Kenneth Bredesen, Thang Ha, Kurt J. Marfurt

Publikováno v: Interpretation. 10:T749-T758

Ideally, a good static reservoir model provides an accurate estimate of the extent, porosity, permeability, and lithology of the container as well as the properties of the seal and any faults or fractures that may allow the reservoir to leak. The maj

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::89209009bd6f195731788f9dd30338a8
https://doi.org/10.1190/int-2022-0002.1

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Seismic reservoir characterization of the Gassum Formation in the Stenlille aquifer gas storage, Denmark — Part 1

Autor: Satinder Chopra, Ritesh Kumar Sharma, Kenneth Bredesen, Kurt J. Marfurt

Publikováno v: Interpretation. 10:T693-T705

Seismic reservoir characterization plays an important role in carbon capture and storage analysis. The Havnsø anticlinal structure in Denmark is a prospective CO2 storage site due to its proximity to two large emission sources—a coal-fired power s

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6e954f52fd0b043da8f6fe354bca9387
https://doi.org/10.1190/int-2022-0001.1

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A review of some amplitude-based seismic geometric attributes and their applications

Autor: Sumit Verma, Satinder Chopra, Thang Ha, Fangyu Li

Publikováno v: Interpretation. 10:B1-B12

Seismic interpreters frequently use seismic geometric attributes, such as coherence, dip, curvature, and aberrancy for defining geologic features, including faults, channels, angular unconformities, etc. Some of the commonly used coherence attributes

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::6d1ed189ab8d319496cefbdc707498b4
https://doi.org/10.1190/int-2021-0136.1

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Seismic characterization of the Middle Jurassic Hugin sandstone reservoir in the southern Norwegian North Sea with unsupervised machine learning applications for facies classification

Autor: J. Marfurt Kurt, Thang Ha, Ritesh Kumar Sharma, Satinder Chopra

Publikováno v: First Break. 39:35-44

Summary Because they allow us to integrate the information content contained in multiple seismic attribute volumes, machine learning techniques hold significant promise in the identification and delineation of heterogeneous 3D seismic facies. However

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::fb1ceb078476102a14258a46d1752083
https://doi.org/10.3997/1365-2397.fb2021089

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Improving porosity and gamma-ray prediction for the Middle Jurassic Hugin sandstones in the southern Norwegian North Sea with the application of deep neural networks

Autor: Satinder Chopra, Renjun Wen, Rongfeng Zhang, Ritesh Kumar Sharma, Kurt J. Marfurt

Publikováno v: Interpretation. 10:T25-T34

The complete characterization of a reservoir requires accurate determination of properties such as the porosity, gamma ray, and density, among others. A common workflow is to predict the spatial distribution of properties measured by well logs to tho

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::0d0f5c2d1ae24946cb1031a2ba3a4c3a
https://doi.org/10.1190/int-2021-0107.1

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Seismic characterization of a Triassic-Jurassic deep geothermal sandstone reservoir, onshore Denmark, using unsupervised machine learning techniques

Autor: Satinder Chopra, Ritesh Kumar Sharma, Thang Ha, Kenneth Bredesen, Kurt J. Marfurt

Publikováno v: Interpretation. 9:T1097-T1106

The Triassic-Jurassic deep sandstone reservoirs in onshore Denmark are known geothermal targets that can be exploited for sustainable and green energy for the next several decades. The economic development of such resources requires accurate characte

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ab6bcba6aa8de0fff83105b14dc00b2d
https://doi.org/10.1190/int-2021-0091.1

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Reservoir characterization over the Lille Prinsen and Ivar Aasen fields in the Norwegian North Sea using ocean-bottom-node seismic data — A case study

Autor: Mikal Trulsvik, Ritesh Kumar Sharma, David J. Went, Satinder Chopra, Adriana Citlali Ramírez, Bent Kjølhamar

Publikováno v: Interpretation. 9:T969-T985

We have developed an integrated workflow for estimating elastic parameters within the Late Triassic Skagerrak Formation, the Middle Jurassic Sleipner and Hugin Formations, the Paleocene Heimdal Formation, and the Eocene Grid Formation in the Utsira H

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b39af3713475977e10e561009dbf3545
https://doi.org/10.1190/int-2020-0241.1

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