Invention Grant
- Patent Title: Methods and systems for predicting interfacial tension of reservoir fluids using downhole fluid measurements
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Application No.: US16940436Application Date: 2020-07-28
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Publication No.: US11550975B2Publication Date: 2023-01-10
- Inventor: Sharath Chandra Mahavadi , Robin Singh , Wael Abdallah , Mohammed Al-Hamad , Bastian Sauerer , Shouxiang Ma , Leilei Zhang
- Applicant: Schlumberger Technology Corporation , Saudi Arabian Oil Company
- Applicant Address: US TX Sugar Land; SA Dhahran
- Assignee: Schlumberger Technology Corporation,Saudi Arabian Oil Company
- Current Assignee: Schlumberger Technology Corporation,Saudi Arabian Oil Company
- Current Assignee Address: US TX Sugar Land; SA Dhahran
- Main IPC: G01N33/28
- 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.
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