Výsledky vyhledávání - "Pallav Sarma"

Energy Transition Meets Digital Transformation: Design and Implementation of a Comprehensive Carbon Emissions Estimation and Forecasting Platform

Autor: Javad Rafiee, Pallav Sarma, Fernando Gutierrez, Ryan Hilliard, Carlos Mario Calad, Oscar Angulo, Brian Boyer

Publikováno v: Day 3 Wed, May 04, 2022.

With growing worldwide consensus about the impacts of climate change, the oil and gas industry faces unprecedented pressure to redefine itself, minimize its carbon footprint, and ultimately move towards net zero emissions. It is therefore imperative

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::b33bdf8381e0bba69b6850e3afedd4fe
https://doi.org/10.4043/31747-ms

Zobrazit plný text záznamu

Optimizing a Waterflood Using a Combination of Machine Learning and Reservoir Physics. A Field Application for Reducing Fresh Water Injection with no Impact on Oil Production and Improved Carbon Intensity

Autor: Pallav Sarma, Javad Rafiee, Fernando Gutierrez, Carlos Calad, Ryan Hilliard, Sebastian Plotno, Eduardo Mamani, Oscar Angulo, Gabriel Quintero

Publikováno v: Day 2 Tue, February 22, 2022.

As the oil and gas industry embarks on the path to energy transition, pressure from government regulators, investors, and the public in general demand that companies have clear and transparent net-zero goals and that their operational initiatives and

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::84a7e2a9e9dfa9eef4186ce24d2c730f
https://doi.org/10.2523/iptc-22406-ea

Zobrazit plný text záznamu

Combining Machine Learning and Physics for Robust Optimization of Completion Design and Well Location of Unconventional Wells

Autor: Javad Rafiee, Pallav Sarma, Yong Zhao, Sebastian Plotno, Carlos Calad, Dayanara Betancourt

Publikováno v: Day 3 Wed, February 23, 2022.

Various types of predictive models have been applied over the years to make quantitative decisions for unconventional development plans. These models are either very simple (e.g., type-curves) which ignore the reservoir physics or are too complex (e.

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::23df71e5bed8b886b6201e44529c56ee
https://doi.org/10.2523/iptc-22214-ms

Zobrazit plný text záznamu

Pipeline Leak Detection Combining Machine Learning, Data Assimilation Approaches and Pipeline Fluid Flow Physics Models

Autor: Stylianos Kyriacou, Pallav Sarma, Javad Rafiee, Calad Carlos

Publikováno v: Day 3 Wed, February 23, 2022.

With growing worldwide consensus about the impacts of climate change, the oil and gas industry faces unprecedented pressure to minimize its carbon footprint. The biggest source of carbon emissions in the industry is the so-called fugitive emissions,

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::042ef4a9e98847e9a46813ab31122f4b
https://doi.org/10.2523/iptc-22469-ea

Zobrazit plný text záznamu

Application of a Combination of Machine Learning and Reservoir Physics to Increase Production in a Mature Waterflood Field in the San Jorge Basin in Argentina

Autor: Javier Eusebio Gomez, Marcelo Robles, Cristian Di Giuseppe, Federico Galliano, Jeronimo Centineo, Fernando Medda, Carlos Mario Calad Serrano, Sebastian Plotno, Pallav Sarma, Fernando Gutierrez

Publikováno v: Day 4 Thu, November 18, 2021.

This paper presents the process and results of the application of Data Physics to optimize production of a mature field in the Gulf of San Jorge Basin in Argentina. Data Physics is a novel technology that blends the reservoir physics (black oil) used

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_________::20715dc0da57991165a2b41391f84ebd
https://doi.org/10.2118/207897-ms

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání