公开(公告)号：US11550975B2

公开(公告)日：2023-01-10

申请号：US16940436

申请日：2020-07-28

Applicant: Schlumberger Technology Corporation ,  Saudi Arabian Oil Company

Inventor： Sharath Chandra Mahavadi ,  Robin Singh ,  Wael Abdallah ,  Mohammed Al-Hamad ,  Bastian Sauerer ,  Shouxiang Ma ,  Leilei Zhang

IPC: G01N33/28 ,  E21B49/08 ,  G06F30/27 ,  G01N11/00 ,  G01N9/00 ,  G01V99/00 ,  E21B47/07 ,  G06F111/10 ,  E21B41/02 ,  E21B49/10 ,  E21B43/38

Abstract: 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.

公开(公告)号：US20220035971A1

公开(公告)日：2022-02-03

申请号：US16940436

申请日：2020-07-28

Applicant: Schlumberger Technology Corporation

Inventor： Sharath Chandra Mahavadi ,  Robin Singh ,  Wael Abdallah ,  Mohammed Al-Hamad ,  Bastian Sauerer ,  Shouxiang Ma ,  Leilei Zhang

IPC: G06F30/27 ,  G01N11/00 ,  G01N9/00 ,  G01N33/28 ,  G01V99/00 ,  E21B49/08 ,  E21B47/07

Abstract: 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.