Schlumberger Technology Corporation

Junyi Yuan

Wael Abdallah

Kashif Rashid

Andrew Speck

Tianhua Zhang

Salah Mohammed Al-Ofi

Lukasz Zielinski

Embodiments presented provide for a method of evaluation for data that is inconsistent or that changes over time. These embodiments involve the processing of pollutants in a stream such that accuracy is maintained during the processing for high quality evaluation. The method includes collecting atmospheric data for an area, collecting concentration data for pollutant emissions, processing the atmospheric data to determine a quality of the atmospheric data, processing the concentration data for pollutant emissions to determine a concentration data quality, producing a combined quality metric from the processed atmospheric data and the processed concentration data, and determining if the combined quality metric is of a high or low level.

Automated record quality determination and processing for pollutant emission quantification

Embodiments of the present disclosure are directed towards systems and method for characterizing wettability. Embodiments may include acquiring, using at least one processor, multi-physics data and transforming the multi-physics data into transformed data that is more sensitive to wettability than the multi-physics data. Embodiments may further include processing, using a data processing engine, the acquired and transformed data using at least one of a data correlation technique and an inversion technique.

System and method for characterizing reservoir wettability from an imaging technique combined with multiphysics logs and data analytics

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Junyi Yuan