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journal of petroleum science and technology
سال:2022 - دوره:12 - شماره:3
construction of capillary pressure and relative permeability by using nmr data for sarvak formation in sw oil fields of iran
- صفحه:50-55
development of an artificial neural network model to calculate static young’s modulus based on a log-derived data base
- صفحه:12-17
introducing a matlab code as a statistical approach for fracture networks modelling
- صفحه:18-23
performance of water injection and co2 injection into oil reservoirs based on field data: using anns to predict in the selected scenario
- صفحه:2-11
root cause analysis of loss circulation problem and designing/customizing wellbore strengthening materials in one of the middle east oil fields- a case study
- صفحه:37-49
simulation of asphaltene precipitation in the reservoir and its final effect on wells’ productivity index
- صفحه:24-36
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