Baker Hughes Oilfield Operations LLC

Ge Oil & Gas UK Limited

Baker Hughes Energy Technology UK Limited

Rafael Horschutz Nemoto

Carlos Alberto Cavichioli Gonzaga

Luiz Ricardo Douat

Luiz Felipe Willcox De Souza

Jose Luiz Bittencourt

Technical effects of the invention include use of a data-driven multivariate statistical method for the detection and isolation of sensor faults applied in a virtual flow metering context. In one implementation, the data-driven multivariate statistical method employs principal components analysis, weighted squared prediction error, and partial decomposition contribution plots.

Method for detection and isolation of faulty sensors

The present approach includes implementations for generating thermos-hydraulic data via a simulation and evaluating the thermo-hydraulic data pertaining to one or more parameters of a production system. The approach includes receiving operating parameters and receiving coefficients of polynomials for constructing a plurality of pump performance curves. The approach includes performing a selection step. The selection step includes selecting a pump from a plurality of pump types, and sizing the pump based in part on the thermo-hydraulic data, the operating parameters, and the coefficients of polynomials. The approach includes repeating the selection step until each pump of the plurality of pump types has been considered to generate a subset of pumps from the plurality of pump types. The approach includes performing an optimization step on the subset of pumps. The approach includes generating a visual display to identify the set of preferred pumps.

Methods of optimal selection and sizing of electric submersible pumps

The present approach relates to establishing metrics for the computation of uncertainty boundaries for mean values for pressure and temperature drop error and mean values for mass flow error. Using such metric, sensor inaccuracies may be accounted for in the calibration and/or estimation processes of a virtual flow meter. For example, these values may be employed in the assessment of improvement in a calibration process of virtual flow meters, which will facilitate maintaining the accuracy of such virtual flow meters.

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Rio de Janeiro, Brazil

Rafael Horschutz Nemoto