Jerson Ivanoi Pereira De Paiva
Offshore Angola oil field: Multiple Point Statistics (MPS) modelling approach.
Rel. Stefano Lo Russo. Politecnico di Torino, Corso di laurea magistrale in Petroleum Engineering (Ingegneria Del Petrolio), 2018
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Abstract
Aim of these work is to implement the Multiple Point Statics “MPS” technology (using the Schlumberger Petrel 2017.1 software) to an Angolan offshore oil field already in production, comparing the results with the one coming from the existing standard modeling technique. This is achieved extending the stochastic simulation approach to the sedimentological model by means of the MPS algorithm. Considering that the MPS is a modern modelling technique on the geostatistical panorama, the core concept is related with the aim of better representing the subsurface geology of the reservoir, by means of a deep analysis of the sedimentological model and the Environments of Deposition “EoD”.
This can be achieved by the wide integration of data from the training image and secondary data (probabilistic data)
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