Deadline Date: 30 April 2026
The increasing demand for ultra deep oil and gas resources has driven in-depth research and significant progress in ultra deep wellbore temperature and pressure systems, requiring the development of precise simulation and numerical methods to achieve efficient design, analysis, and optimization. This special issue of RIMNI International Journal of Numerical Methods for Engineering Calculation and Design aims to showcase cutting-edge research in computational technology to improve the performance, reliability, and economic feasibility of ultra deep wellbore temperature and pressure systems.
We sincerely invite you to contribute to the design of new numerical models, computational fluid thermodynamics and dynamics, multi physics field simulation, finite element analysis, and optimization design based on artificial intelligence methods for applications in wellbore temperature and pressure measurement materials/devices/systems, wellbore flow field prediction models and control methods, wellbore cooling materials/devices/systems. The topics of interest include but are not limited to:
Advanced model and method for high temperature and high pressure underground measurement
Optimization and parameter design of cooling system based on numerical simulation
Modeling of wellbore temperature after application of cooling technology
Artificial intelligence driven and machine learning models for temperature and pressure prediction and control
Numerical simulation of material and structural analysis of cooling devices/systems
This special issue aims to bridge the gap between theoretical advancements and practical applications, providing valuable insights into the future design of ultra deep wellbore temperature and pressure systems through computational methods.
The increasing demand for ultra deep oil and gas resources has driven in-depth research and significant progress in ultra deep wellbore temperature and pressure systems, requiring the development of precise simulation and numerical methods to achieve efficient design, analysis, and optimization. This special ... show more