Schlumberger Technology Corporation

Saudi Arabian Oil Company

Wael Abdallah

Shouxiang Mark Ma

Gong Li Wang

Karim Bondabou

Simone Di Santo

Ilaria De Santo

Tetsushi Yamada

Sherif Ghadiry

A method for estimating a porosity of a rock sample includes acquiring a calibrated digital image of the rock sample, extracting color and texture features from the digital image of the rock sample, and estimating the porosity of the rock sample using a model to evaluate the extracted color features and texture features. The model is configured to correlate digital image color and texture features with porosity.

Formation porosity estimation from digital images

Methods and systems are provided for characterizing connate water salinity and resistivity of a subsurface formation. Well log data including resistivity and spontaneous potential (SP) log data are measured by at least one downhole tool disposed within a borehole. The resistivity and SP log data are inverted to determine a resistivity model and an SP model, which are used to determine connate water resistivity. The connate water resistivity is used to determine connate water salinity. The connate water salinity derived from the inversion of resistivity log data and SP log data (or derived from a trained ML system supplied with such log data) can be used as a baseline measure of connate water salinity, and this baseline measure can be evaluated together with the connate water salinity estimates derived from pulsed neutron tool measurements over time-lapsed periods of production to monitor variation in connate water salinity due to production.

Methods for predicting and monitoring downhole salinity variations

Growing community of inventors

Sugar Land, TX, United States of America

Wael Abdallah