Výsledky vyhledávání

Deep learning for end-to-end subsurface modeling and interpretation: An example from the Groningen gas field

Autor: Aria Abubakar, Haibin Di, Anisha Kaul, Cen Li, Zhun Li, Vanessa Simoes, Leigh Truelove, Tao Zhao

Publikováno v: The Leading Edge. 41:259-267

Subsurface interpretation and modeling are crucial to the success of reservoir exploration and production, which often involves integrating multiple types of subsurface data and accomplishing a series of subtasks consecutively and/or in parallel. Tho

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::574a446d163c20fffb515a936c8021ca
https://doi.org/10.1190/tle41040259.1

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A COMPARATIVE EVALUATION OF VESTIBULAR INCISION SUBPERIOSTEAL TUNNEL ACCESS (VISTA) VERSUS CORONALLY ADVANCED FLAP WITH COLLAGEN MEMBRANE FOR THE TREATMENT OF MILLERS CLASS I AND CLASS II GINGIVAL RECESSION: A CLINICAL STUDY

Autor: Ritika Kabra , Lakshay Sethi , Vidya Sekhar , Sumit Malhotra , Anisha Kaul and Varun Tyagi

Background:Gingival recession is defined asThe displacement of soft tissue margin apical to CEJ with exposure of root surface. Factors such as abnormal tooth alignment in the arch, fenestration, dehiscence, faulty tooth brushing, periodontal diseases

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::15fd95234a09ceca658a6d18e397b07c

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Workshop Preview: Data Analytics and Machine Learning Hackathon 2021: A deep dive into the open-source data challenge for E&P

Autor: Weichang Li, Leigh Truelove, Haibin Di, Wenyi Hu, Anisha Kaul, Aria Abubakar

Publikováno v: The Leading Edge. 40:68-71

We present a data challenge as part of the hackathon planned for the August 2021 SEG Research Workshop on Data Analytics and Machine Learning for Exploration and Production. The hackathon aims to provide hands-on machine learning experience for begin

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ffe06b5fe4bd25239c0c0998b734d5e4
https://doi.org/10.1190/tle40010068.1

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Automating Well Log Correlation Workflow Using Soft Attention Convolutional Neural Networks

Autor: Aria Abubakar, Anisha Kaul, Mandar Kulkarni

Publikováno v: Day 2 Wed, September 22, 2021.

In the process of deriving the reservoir petrophysical properties of a basin, identifying the pay capability of wells by interpreting various geological formations is key. Currently, this process is facilitated and preceded by well log correlation, w

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::2d9795f6c8241b8b3f5828bb6e6ea334
https://doi.org/10.2118/205985-ms

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Pseudo three-dimensional deep learning approach for top and bottom of salt detection

Autor: Anisha Kaul, Aria Abubakar, Cen Li

Publikováno v: First International Meeting for Applied Geoscience & Energy Expanded Abstracts.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::75664393e1369861291f785eb484d815
https://doi.org/10.1190/segam2021-3594858.1

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Automatic salt geometry update using deep learning in iterative FWI-RTM workflows

Autor: Chunpeng Zhao, Anisha Kaul, Tao Zhao, Aria Abubakar

Publikováno v: First International Meeting for Applied Geoscience & Energy Expanded Abstracts.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::52bb3afd283f6245f309eb4a6fefdad5
https://doi.org/10.1190/segam2021-3582052.1

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Smart Employment System: An HR Recruiter

Autor: Trupti Kamat, Chinmay Mahale, Anisha Kaul, Kajal Jewani, Anupreet Bhuyar

Publikováno v: Information and Communication Technology for Intelligent Systems ISBN: 9789811570773

The traditional HR recruitment process is long and time-consuming. The talent search process is restricted due to human limitations. The overwhelming number of candidates, geographical constraints and deception which cannot often be caught by experie

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::5dac86ecaf8fde41083f91dc50fae4c7
https://doi.org/10.1007/978-981-15-7078-0_75

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Benefits of Physical Interaction with Array Elements and Code Consolidation on Student Comprehension of Sorting Algorithms

Autor: Julia Ann Pinedo, Anisha Kaul, Anya Wallace

Publikováno v: SIGCSE

This study was a qualitative analysis of introductory-level computer science students' comprehension of sorting algorithms. We asked six students to read and summarize the code of a sorting algorithm. Next, we asked them to trace through the code, fi

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::8cf1dca06bd50ade4fee8ff5a47296d5
https://doi.org/10.1145/3287324.3293797

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