Zobrazeno 1 - 5
of 5
pro vyhledávání: '"Cagri Cerrahoglu"'
Autor:
Cagri Cerrahoglu, Mohand Alyan, Alberto Mendoza Chavez, Alessandro Delfino, Martin Sundin, Alaa Othman, Ahmed Kiyoumi, Ahmed Altamimi, Shardul Parihar, Rahul-Mark Fonseca
Publikováno v:
Day 1 Mon, October 31, 2022.
This paper introduces a new sensor analytics application for flow profiling that is based on physics-informed machine learning (ML) techniques. The application was utilized in the interpretation of point and distributed sensor data acquired from a ca
Autor:
Ilkin Yusifov, Zahid Hasanov, Alberto Mendoza, Cagri Cerrahoglu, Fuad Aziz Atakishiyev, Alex Wallace, Alessandro Delfino
Publikováno v:
Day 1 Tue, September 07, 2021.
We introduce a novel Machine Learning (ML) approach for processing distributed fiber-optic sensing (DFOS) data that enables dynamic flow profile monitoring using a fiber-optic e-line cable deployed in a gas condensate well and compare it to a convent
Autor:
Pradyumna Thiruvenkatanathan, Cagri Cerrahoglu, Thomas Watson, James Ramsay, Sean Cavalero, Teymur Sadigov, Laurence Burchell, Martin Sundin
Publikováno v:
Day 4 Thu, August 19, 2021.
This paper introduces a novel technique that allows real-time injection monitoring with distributed fiber optics using physics-informed machine learning methods and presents results from Clair Ridge asset where a cloud-based, real-time application is
Publikováno v:
Day 4 Thu, October 29, 2020.
This paper shares the results from the first successful deployment of a real-time, multiphase inflow profiling technology applied to BP operated Clair Ridge asset. Uncertainty around distribution and the dynamic behaviour of the fractured reservoir r
Publikováno v:
Day 1 Mon, September 30, 2019.
This paper investigates the flow performance of a horizontal unconventional gas producer where cluster flow has been detected and quantified. The method employed is the first use of a wireline deployed engineered fiber optic Distributed Acoustic Sens