Abstract Machine learning (ML) has evolved as a technology used in even broader domains,
ranging from spam detection to space exploration, as a result of the boom in available data …

The objective of this paper is to provide a review of casing deformations that are related to
the placement of Multi-Stage Hydraulic Fracturing (MSHF) in unconventional plays. This …

Predicting microscale mechanisms of plant-based food materials has been an enduring
challenge due to the inherent complexity of involved physics and prohibitively-high …

The exploration and development of shale gas is becoming more important owing to the
increasing of world energy demand. However, calculating the productivity of horizontal wells …

A machine learning based strategy is proposed for creating parametric surrogate models
from parametrized finite element model simulation results. In the first major step, a unified …

During the development of shale gas, one of the major challenges is the casing deformation
(CD) in the horizontal section due to the geological activity. Recently, the casing deformation …

Casing deformation frequently occurs in shale gas wells during hydraulic fracturing. While
the failure mechanism of casing ovality deformation is unclear due to the interweaving and …

Our previous studies, which employed Kinetic Monte Carlo (KMC) simulation to model
nanoparticle agglomeration during nanocolloid drying, revealed a discernible relationship …

The conventional method of casing selection is based on availability and/or order placement
to manufacturers based on certain design specifications to meet the anticipated downhole …

Nowadays, the large cluster well factory production mode is widely applied, which means
that multistage fracturing can cause casing damage not only to the construction well but also …