Zobrazeno 1 - 10
of 16
pro vyhledávání: '"Majdi A. Baddourah"'
Publikováno v:
Day 1 Tue, September 21, 2021.
The algorithms and workflows have been developed to couple efficient model parameterization with stochastic, global optimization using a Multi-Objective Genetic Algorithm (MOGA) for global history matching, and coupled with an advanced workflow for s
Publikováno v:
Day 1 Tue, December 01, 2020.
Reservoir simulation is becoming a standard practice for oil and gas companies, helping with decision making, reducing reservoir characterization uncertainties, and better manage hydrocarbon resources. The reservoir model sizes can reach multi-billio
Publikováno v:
SPE Europec featured at 82nd EAGE Conference and Exhibition.
Publikováno v:
Proceedings.
Summary a new and novel dynamic approach for writers selection by mapping writing tasks dynamically and adaptively to MPI processes at runtime. The objective of this method is not to deduce the optimal number of writers that should be used. Instead,
Publikováno v:
Proceedings.
The model validation with the actual experimental results will be shared. This paper presents guidelines for decisions on which CPU in a product family will meet an organization’s compute requirements with a balance of power consumption, performanc
Autor:
Ahmed S. Al-Zawawi, Majdi A. Baddourah, M. Ehtesham Hayder, Babatunde Moriwawon, Ali A. Al-Turki
Publikováno v:
All Days.
Accomplishing an acceptable history match of a reservoir simulation model with historical field performance data is a challenging task. The resources needed for assisted history matching for giant reservoirs is very demanding. Providing engineers wit
Publikováno v:
All Days.
Assisted history matching (AHM) methodologies provide a systematic approach to history match reservoir models accounting for uncertainties. It also provides sensitivity of reservoir response within the uncertainty range of parameters. There are usual
Publikováno v:
ICEAC
In this paper, we analyze the level of power consumption for running large scale hydrocarbonreservoir simulation on high performance clusters (HPC), which may impact the data center design and the overall environment for running massive simulation mo
Publikováno v:
2013 8th EUROSIM Congress on Modelling and Simulation.
Standard high performance clusters (HPC) are being extensively used for solving computationally intensive problems in various scientific fields, one of which is the field of reservoir simulation. In our work, we expand the conventional HPC systems to
Publikováno v:
All Days.
Large scale reservoir simulation is essential to understand various flow processes inside the reservoir. With the advent of high performance computing (HPC), it is now possible to simulate models larger than even one billion cells. Because of its cos