Novel approaches in geomechanical parameter estimation using machine learning methods and conventional well logs

F Mollaei, A Moradzadeh, R Mohebian - Geosystem Engineering, 2024 - Taylor & Francis
Today, geomechanics plays a crucial role in the oil industry, particularly in enhancing
production and ensuring well stability. To achieve optimal results, accurate estimation of …

[HTML][HTML] Evaluation of the Hydraulic Fracturing Tendencies of Consolidated Sandstone Reservoirs Based on the Catastrophe Theory

H Feng, P Wang, Z Qu, H Huang, L Wang, Y Wei, Y He - Processes, 2024 - mdpi.com
The evaluation of rock hydraulic fracturing tendency plays a crucial role in the selection of
fracturing layers within reservoirs and the evaluation of post-compression capacity. The …

[PDF][PDF] Proposing a Deep Learning Algorithm for Estimating the Brittleness Index Using Conventional Log Data in the Asmari Formation of a Southwestern Iranian Oil …

F Mollaei, R Mohebian, A Moradzadeh - Journal of Engineering …, 2024 - jeg.khu.ac.ir
The brittlenessindex is one of the most important parameters in geomechanical analysis and
modeling. Many methods have been proposed to estimate the brittleness index. One of the …