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Uncertainty reduction in reservoir parameters prediction from multiscale data using machine learning in deep offshore reservoirs. (2020)
Thesis
ARIGBE, O.D. 2020. Uncertainty reduction in reservoir parameters prediction from multiscale data using machine learning in deep offshore reservoirs. Robert Gordon University [online], PhD thesis. Available from: https://openair.rgu.ac.uk

Developing a complete characterization of reservoir properties involved in subsurface multiphase flow is a very challenging task. In most cases, these properties - such as porosity, water saturation, permeability (and their variants), pressure, wetta... Read More about Uncertainty reduction in reservoir parameters prediction from multiscale data using machine learning in deep offshore reservoirs..

Combining search strategies for distributed constraint satisfaction. (2015)
Thesis
MAGAJI, A.S-M. 2015. Combining search strategies for distributed constraint satisfaction. Robert Gordon University, PhD thesis.

Many real-life problems such as distributed meeting scheduling, mobile frequency allocation and resource allocation can be solved using multi-agent paradigms. Distributed constraint satisfaction problems (DisCSPs) is a framework for describing such p... Read More about Combining search strategies for distributed constraint satisfaction..

Hybrid algorithms for distributed constraint satisfaction. (2010)
Thesis
LEE, D.A.J. 2010. Hybrid algorithms for distributed constraint satisfaction.. Robert Gordon University, PhD thesis.

A Distributed Constraint Satisfaction Problem (DisCSP) is a CSP which is divided into several inter-related complex local problems, each assigned to a different agent. Thus, each agent has knowledge of the variables and corresponding domains of its l... Read More about Hybrid algorithms for distributed constraint satisfaction..