Knowing the location of sweet spots benefits the horizontal well drilling and the selection of
perforation clusters. Generally, geoscientists determine sweet spots from the well-logging …

We performed assisted history matching (AHM) in a real shale gas well using uncertain
parameters such as fracture geometry, fracture conductivity, matrix permeability, matrix and …

Severe well interference through complex fracture networks (CFNs) can be observed among
multi-well pads in low permeability reservoirs. The well interference analysis between multi …

We investigated the difference in production performances of three shale gas wells with
different completions and fracturing designs. We used assisted history matching technique …

We performed assisted history matching (AHM) to an actual shale oil well in Permian basin
using Embedded Discrete Fracture Model and neural network Markov chain Monte Carlo …

It has recently been demonstrated that complex fracture networks (CFNs) especially
activated natural fractures (ANF) play an important role in unconventional reservoir …

We present an efficient adjoint model based on the deep‐learning surrogate to address high‐
dimensional inverse modeling with an application to subsurface transport. The proposed …

High-density completions prevail in shale oil formation in China due to the difficulty of
identifying the sweet spot with high accuracy. Knowing the location of sweet spots benefits …

Complex fracture networks (CFN) provide flow channels and significantly affect well
performance in unconventional reservoirs. However, traditional rate transient analysis (RTA) …

The most common stimulation technique for shale production is multistage hydraulic
fracturing. Estimating fracture geometry is a focal parameter to judge the fracture operation …