Open AccessDetection and optimization of viscous oil viscosity and vissity reducer in alx gas well
Author(s) -
Wang Fp,
Zhang Gf,
Y Wang,
CX Hao
Publication year - 2022
Publication title -
journal of physics. conference series
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.21
H-Index - 85
eISSN - 1742-6596
pISSN - 1742-6588
DOI - 10.1088/1742-6596/2158/1/012036
Subject(s) - reducer , viscosity , wellhead , rheology , petroleum engineering , flow (mathematics) , viscosity index , materials science , chemistry , mechanics , thermodynamics , geology , composite material , physics , base oil , scanning electron microscope
The optimum viscosity of heavy oil is the key index to maintain the normal production of gas wells. This paper designs a new detection and optimization method of visit oil visibility and visibility reducer in alx gas well. Firstly, through the flow pattern criterion and flow pattern distribution diagram of gas-liquid two-phase flow in horizontal pipe, the propagation velocity of wave in the downstream is determined by extreme value method, and the maximum viscosity equation of heavy oil carried by air in annular fog state is established. Then, according to the maximum viscosity equation, the maximum viscosity of the heavy oil carried by the gas flow is 513.7 MPa. Finally, taking alx gas well as an example, 11 kinds of viscosity reducer were selected from water-based viscosity reducer and oil-based viscosity reducer. Under the conditions of wellhead temperature of 9 ° C and bottom hole temperature of 34 ° C, five samples with different concentrations were mixed with heavy oil, the rheological properties of the sample set were tested, and the rheological parameters and apparent viscosity of heavy oil were calculated. The experimental results show that low dosage of oil-based tackifier can effectively reduce the viscosity of heavy oil, and the optimal dosage range is 22% to 25%.