Temperature prediction model in multiphase flow considering phase transition in the drilling operations

Author:

Zhang Yang,Li Yong-An,Kong Xiang-Wei,Liu Hao,Sun Teng-FeiORCID

Funder

China Petrochemical Corporation

Fundamental Research Funds for the Central Universities

National Natural Science Foundation of China

Publisher

Elsevier BV

Reference34 articles.

1. Artificial neural network model for predicting the density of oil-based muds in high-temperature, high-pressure wells;Agwu;J. Pet. Explor. Prod. Technol.,2020

2. Accurate Estimation of Equivalent Circulating Density during High Pressure High Temperature (HPHT) Drilling Operations;Ataga,2012

3. Consideration of compressibility effects for applied-back-pressure dynamic well control response to a gas kick in managed pressure drilling operations;Bacon,2011

4. Supercritical CO2 and H2S—Brine Drainage and Imbibition Relative Permeability Relationships for Intergranular Sandstone and Carbonate Formations;Bennion,2006

5. A Correlation of the Interfacial Tension between Supercritical Phase CO2 and Equilibrium Brines as a Function of Salinity, Temperature and Pressure;Bennion,2008

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