Výsledky vyhledávání - "Josselin Kherroubi"

Novel Deployment of Noninvasive Sensing Technology Improves Wellhead Installation

Autor: Haw Keat Lim, Bruce Hogg, Alberto Gil, Yong Wee Lee, Onur Ozen, Pontus Loviken, Josselin Kherroubi

Publikováno v: Day 2 Tue, October 04, 2022.

Correct installation of the wellhead is crucial to drilling operations. As drilling activities come to involve increasingly critical and challenging operations, the demand for improved reliability, performance, and safety continues togrow. Hanger and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::dd6a7a962e19b15d88db98b6e6e17087
https://doi.org/10.2118/210296-ms

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A contrario dip picking for borehole imaging

Autor: Josselin Kherroubi, Enric Meinhardt-Llopis, Joris Costes, Jean-Michel Morel, Gabriele Facciolo, Rafael Grompone von Gioi

Publikováno v: GEOPHYSICS. 86:V339-V351

We describe an algorithm to perform automatic dip picking on borehole images. One key element of the proposed method is a statistical validation, based on the a contrario theory, which is used to decide whether each candidate dip is to be accepted or

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::81916120cfcbfa1b0c8449e97a19dc85
https://doi.org/10.1190/geo2020-0392.1

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Event Detection in Drilling Remarks Using Natural Language Processing

Autor: Zheng Zhang, Tianjun Hou, Josselin Kherroubi, Daria Khvostichenko

Publikováno v: Day 2 Wed, March 09, 2022.

Remarks in daily drilling reports (DDR) and daily mud reports (DMR) are an invaluable source of information for the analysis of ongoing operations and planning of future wells. These remarks are entered as free text and thus represent unstructured in

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b5840aa52d638a4080e3d69b167b5580
https://doi.org/10.2118/208779-ms

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DEEP-LEARNING-BASED AUTOMATED SEDIMENTARY GEOMETRY CHARACTERIZATION FROM BOREHOLE IMAGES

Autor: Josselin Kherroubi, Marie Lefranc, Zikri Bayraktar, Schlumberger, Philippe Marza, Isabelle Le Nir, Morten Kristensen, Hedi Driss

Publikováno v: SPWLA 62nd Annual Online Symposium Transactions.

Sedimentary geometry on borehole images usually summarizes the arrangement of bed boundaries, erosive surfaces, cross bedding, sedimentary dip, and/or deformed beds. The interpretation, very often manual, requires a good level of expertise, is time c

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::d0d677ffb72c3ac3269c0a6946d8ed3c
https://doi.org/10.30632/spwla-2021-0082

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Automation of well integrity operations: Machine learning framework for diagnosis of ultrasonic waveforms

Autor: Josselin Kherroubi, Florian Laborde, Mikhail Lemarenk

Publikováno v: SEG Technical Program Expanded Abstracts 2020.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::ae284160695beb5676155726451f2d43
https://doi.org/10.1190/segam2020-3413175.1

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Where is the Fake? Patch-Wise Supervised GANs for Texture Inpainting

Autor: Josselin Kherroubi, Alexis He, Youssef Tamaazousti, Ahmed Ben Saad

Publikováno v: ICIP

We tackle the problem of texture inpainting where the input images are textures with missing values along with masks that indicate the zones that should be generated. Many works have been done in image inpainting with the aim to achieve global and lo

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Cloud-Based Borehole Image Interpretation Workflow Using Machine Learning

Autor: Tetsushi Yamada, Y. Matsumura, Josselin Kherroubi, A. He

Publikováno v: Proceedings.

Summary We propose a new workflow for borehole image interpretation incorporating machine learning methods and recent cloud technologies. In order to predict facies from borehole image, clean labels, i.e. the borehole image with annotated facies inte

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::401326ecec63201f126e154e67d3ed66
https://doi.org/10.3997/2214-4609.201800790

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Design, Field Testing, and Application of a New Through-The-Bit Fullbore Microelectrical Imaging Tool in Unconventional Reservoirs of North America

Autor: T. Tipton, H. Nguyen, Robert Laronga, Arnaud Jarrot, T. Alcorn, M. Fredette, J. Toniolo, Josselin Kherroubi, E. Haddad, Andriy Gelman, P. Wells, A. Mallick, D. Fratarcangeli, A. He, S. Bammi

Publikováno v: Day 3 Wed, October 11, 2017.

Microelectrical imaging is a well-known and highly versatile geological and reservoir characterization technique that produces representative and photorealistic images of the formations intersected by a wellbore to form the basis of a thorough and re

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::4c87604a79ed5802242ec1cc8713ef6f
https://doi.org/10.2118/187153-ms

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Borehole image correspondence and automated alignment

Autor: Josselin Kherroubi, Arnaud Jarrot, Andriy Gelman, Alexis He, Robert Laronga

Publikováno v: ICASSP

Borehole images are often misaligned due to a depth offset in the acquisition sensors of a wireline tool. We propose an algorithm that identifies matching feature points and aligns the image. One of the main challenges is that imaging pads have no az

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::25cf368b35964b1fb5daad639c21b854
https://doi.org/10.1109/icassp.2017.7952468

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