Schlumberger Technology Corporation

Saudi Arabian Oil Company

Leilei Zhang

Shouxiang Mark Ma

Wael Abdallah

Sharath Chandra Mahavadi

Bastian Sauerer

Mohammed Fadhel Al-Hamad

Robin Singh

Methods and systems are provided for characterizing interfacial tension (IFT) of reservoir fluids, which involves obtaining fluid property data that represents fluid properties of a reservoir fluid sample measured downhole at reservoir conditions, and inputting the fluid property data to a computational model that determines a value of oil-water IFT of the reservoir fluid sample based on the fluid property data. In embodiments, the fluid property data represents single-phase fluid properties of the reservoir fluid sample, such as fluid density and viscosity of an oil phase of the reservoir fluid sample and fluid density of a water phase of the reservoir fluid sample. In embodiments, the computation model can be based on machine learning or analytics combined with a thermodynamics-based physics model.

Methods and systems for predicting interfacial tension of reservoir fluids using downhole fluid measurements

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Houston, TX, United States of America

Leilei Zhang