Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Rahul-Mark Fonseca"'
Autor:
Joseph Alexander Leines-Artieda, Mauricio Xavier Fiallos-Torres, Franklin Useche, Rahul-Mark Fonseca, Salah El din Mahmoud, Maryam Alqaydi, Amena Alharthi, Abdulla Al Hashmi, Travis Ramsay, Aamer Al Bannay, Xueling Song, Wei Yu, Jijun Miao
Publikováno v:
Day 2 Tue, November 01, 2022.
Bedding-plane slip effects during hydraulic fracturing have recently gained interest in unconventional plays due to their influence in hydraulic fracture growth in vertical and horizontal directions. However, most of the current workflows cannot full
Autor:
Laila Zayed Almarzooqi, Rahul Mark Fonseca, Hani Ahmed Buhindi, Ebtesam Khaled Binabadat, Imad Al Hamlawi, Norbert Dolle, Olga Meshcheriakova
Publikováno v:
Day 4 Thu, November 03, 2022.
This paper describes the use of Artificial Intelligence (AI) to support well planning in an Abu Dhabi offshore field. In this application, AI has been used for automated and unbiased evaluation of well trajectories, with the objective to optimize the
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:
Rangana Jayawickramage, Kristin Powell, Bradley Nguyen, Paula Guraieb, Ross Tomson, Dalia Salim Abdullah, Nadir Odeh, Sameer Punnapala, Gervasio Pimenta, Rahul Mark Fonseca
Publikováno v:
Day 1 Mon, October 03, 2022.
Mesoporous silica nanoparticles (MSN) are synthesized in the presence of asphaltene inhibitors such that asphaltene inhibitor is loaded within the nanoparticle carrier platform resulting particles with 50-400 nm average particle diameter. Particle si
Autor:
John Lovell, Dalia Salim Abdallah, Rahul Mark Fonseca, Mark Grutters, Sameer Punnapala, Omar Kulbrandstad, Daniel Meza, Jorge Baez
Publikováno v:
Day 3 Wed, November 17, 2021.
Asphaltene deposition presents a significant flow assurance to oil production in many parts of the Middle East and beyond. Until recently, there had been no intervention-free approach to monitor deposition in the asphaltene affected wells. This promp
Publikováno v:
International Journal for Numerical Methods in Engineering. 109:1756-1776
We consider a technique to estimate an approximate gradient using an ensemble of randomly chosen control vectors, known as Ensemble Optimization (EnOpt) in the oil and gas reservoir simulation community. In particular, we address how to obtain accura
Publikováno v:
Day 2 Thu, April 11, 2019.
In this paper we present our results, challenges and learnings, over a two-year period wherein robust multi-objective optimization was applied at the Mariner asset which is being currently developed. Many different problems were solved with different