Development of technological solutions for advanced petroleum reservoir characterization

• Grant number: 17/50065-2
• Support Opportunities: Research Grants - Innovative Research in Small Business - PIPE
• Start date: October 01, 2017
• End date: March 31, 2020
• Field of knowledge: Engineering - Mechanical Engineering - Transport Phenomena
• Agreement: FINEP - PIPE/PAPPE Grant
• Principal Investigator: Guilherme Daniel Avansi
• Grantee: Guilherme Daniel Avansi
• Company: SOLPE - Soluções em Ciências e Engenharia de Petróleo Ltda
• City: Campinas
• Associated scholarship(s): 18/19232-2 - Development of technological solutions for advanced reservoir characterization of petroleum reservoirs, BP.TT; 18/22863-4 - Development of technological solutions for advanced petroleum reservoir characterization, BP.TT; 18/13095-3 - Development of technological solutions for advanced reservoir characterization of petroleum reservoirs, BP.TT; + associated scholarships 18/07358-1 - Technological solutions development for advanced reservoir characterization of petroleum fields, BP.TT; 18/01439-0 - Development of technological solutions for advanced petroleum reservoir characterization, BP.TT; 17/23632-3 - Development of technological solutions for advanced petroleum reservoir characterization, BP.TT; 17/19263-2 - Development of technological solutions for advanced petroleum reservoir characterization, BP.TT; 17/18709-7 - Development of technological solutions for advanced petroleum reservoir characterization, BP.PIPE - associated scholarships

Abstract

Hydrocarbon storage and flow properties are influenced by the geometry and distribution of pore sizes, mixed wettability, rock-fluid interaction, mineralogy and texture, besides recovery mechanisms. These properties are inherent to pore and core scale, much lower than the static and dynamic reservoir models. The challenge to improve understanding fluid behavior in the reservoir lies in improving and developing technological solutions that integrate information at different scales and exploit it using appropriate recovery methods. However, the large volume of data obtained in the laboratory should be more practically integrated into the simulation. InReservoir Solutions is developing technological solutions for petrophysical characterization of reservoirs using interdisciplinary methods in pore, core and field scales in order to offer innovative processes and services in an integrated research environment. The new processes and products include the development of methodologies to perform fluid displacement experiments on reservoir rocks under conditions of pressure and temperature similar to pre-salt fields, monitored with low and high resolution tomography. The results, interpreted and simulated in the respective scales, will be used to carry out the scale transfer of different domains. Part of dynamic experiments database was obtained through Digital Image Analysis using computerized tomography and computerized microtomography database, obtained through a research project with a partner or by contracting a third party service, providing information for upscaling models elaboration. Scale transfer of flow properties and constituent rock types for larger scales will allow better representation of input information for the numerical simulator of field scale reservoirs. The coupling of 3D analysis information of reservoir rock with special petrophysical tests is fundamental to advancing predictive nature of this emerging technology. (AU)

Scientific publications

(References retrieved automatically from Web of Science and SciELO through information on FAPESP grants and their corresponding numbers as mentioned in the publications by the authors)

SAKUGAWA, P. M.; JACULLI, M. A.; SANTOS, R. M. G.; CAMARGO, G.; BARRETO, C. E. A. G.; PEDRINI, H.. Methodology for obtaining contact angles in rock sample images using image processing and polynomial fitting techniques. JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY, v. 10, n. 4, p. 8-pg., 2020-02-12. (18/22863-4, 17/50065-2)

SAKUGAWA, P. M.; JACULLI, M. A.; SANTOS, R. M. G.; CAMARGO, G.; BARRETO, C. E. A. G.; PEDRINI, H.. Methodology for obtaining contact angles in rock sample images using image processing and polynomial fitting techniques. JOURNAL OF PETROLEUM EXPLORATION AND PRODUCTION TECHNOLOGY, FEB 2020. (17/50065-2, 18/22863-4)