4 results match your criteria: "Leopoldo Américo Miguez de Mello Research and Development Center (CENPES-Petrobras)[Affiliation]"
J Magn Reson
September 2023
São Carlos Institute of Physics, University of São Paulo, PO Box 369, 13560-970, São Carlos, SP, Brazil.
Nuclear Magnetic Resonance (NMR) is one of the primary techniques used in the oil industry for logging operations and in the laboratory environment to study rock formations due to its reliability in offering a reliable estimation of oil well productivity. Two types of well-logging operations exist, Wireline Logging and Logging While Drilling (LWD). Wireline Logging involves NMR measurements taken under static conditions.
View Article and Find Full Text PDFAppl Radiat Isot
February 2023
Department of Chemistry and Geology of University of Modena and Reggio Emilia, 41125, Italy. Electronic address:
This work presents the first mapping of the radiogenic heat production (RHP) and the respective radiogenic heat flow (RHF) of the Saint Peter and Saint Paul Archipelago (SPSPA) located at 1°N in the Equatorial Atlantic Ocean. Using radiogenic heat producing elements (RPE) we inferred a radiogenic heat production ranging 0.08-0.
View Article and Find Full Text PDFLab Chip
November 2022
Leopoldo Américo Miguez de Mello Research and Development Center (CENPES/Petrobras), 21941-598 Rio de Janeiro, RJ, Brazil.
Carbonate rocks usually present a wide variation in pore size within a sample and may contain macroscopic pores ranging from a few millimeters to microscopic pores smaller than one micrometer. Therefore, studying the fluid flow inside carbonates presents a challenging problem. This study proposes a methodology to create dual-porosity micromodels for studying single and two-phase fluid flow in multiscale, carbonate-like, rocks.
View Article and Find Full Text PDFIn this paper, we propose a hierarchical statistical model for a single repairable system subject to several failure modes (competing risks). The paper describes how complex engineered systems may be modelled hierarchically by use of Bayesian methods. It is also assumed that repairs are minimal and each failure mode has a power-law intensity.
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