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Methodology for production history matching of petroleum fields utilizing logging saturation data

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Author(s):
Constantino Bornia Grecco
Total Authors: 1
Document type: Master's Dissertation
Press: Campinas, SP.
Institution: Universidade Estadual de Campinas (UNICAMP). Faculdade de Engenharia Mecânica
Defense date:
Examining board members:
Denis José Schiozer; Antonio Claudio de França Correa; Osvair Vidal Trevisan
Advisor: Denis José Schiozer
Abstract

In the production history matching process, the reservoir simulation model is modified in a way that it becomes consistent with production data, keeping the observed restrictions of the geological characterization phase. This technique is limited, mainly in mature fields, when the production history is not reliable, or in the beginning of production, when there are only a few observed data and uncertainties are higher. The development of new saturation data acquisition tools, such as 4D seismic and TDT/TDM logging tools helped to overcome some difficulties in the geologic model construction phase but the great challenge is how to use this data in a way to improve the petroleum production. History matching methodologies integrated with saturation data from 4D seismic are available in literature but no publications that utilize saturation data obtained from well logging were found. The advantage of the logging tools is the data accuracy but, on the other hand, it is limited to a few feet around the wells. The main objective of this project is to integrate the traditional history matching process with logging saturation data, developing more reliable simulation models and production forecasts and assisting future decision making processes. The saturation data is utilized as a new parameter to be matched as well as an auxiliary tool to help to determine critical regions which will be modified. An assisted history matching methodology utilizing saturation data, streamlines and an optimization algorithm is proposed and applied to a synthetic reservoir model. Parameters of the process are studied and detailed, finding the best way to use the data. The model is also history matched with no saturation information and predictions of the matched models are compared, showing the benefits and restrictions of the new methodology. (AU)

FAPESP's process: 06/01897-0 - Methodology for adjusting production history in mature fields using residual oil saturation data and flowlines
Grantee:Constantino Bornia Grecco
Support Opportunities: Scholarships in Brazil - Master