Shale gas, as an important unconventional natural gas resource, is the main force to
increase natural gas reserves and production in the future. For shale gas with huge …

In order to overcome the training data insufficient problem of model for shale gas wells
production prediction in new block, this study proposes a transfer learning strategy of …

The current study offers a practical guide for dealing with water influx and liquid loading
problems particular to gas wells. Methods and discussions on remedying these problems …

Accurate prediction of shale gas well production and estimated ultimate recovery (EUR) is
always a difficult and hot spot in shale gas development. In particular, the production and …

We propose an approach to the solution of the automatic history-matching problem for
constructing models of high-viscosity oil reservoirs. It is based on a special parameterization …

Reservoir modeling to predict shale reservoir productivity is considerably uncertain and time
consuming. Since we need to simulate the physical phenomenon of multi-stage hydraulic …

Abstract Machine learning has been widely used for the production forecasting of oil and
gas fields due to its low computational cost. This paper studies the productivity prediction of …

This study presents new pressure transient solutions, illustrated with some examples of the
vast practical application potential. Gaussian pressure transients (GPT) are derived here to …

For shale gas development, clarification of the main controlling factors of production and
estimated ultimate recovery (EUR) with high accuracy is indispensable. The selection of 16 …

For the development of shale gas, the accurate prediction of estimated ultimate recovery
(EUR) has invariably been a hot and arduous issue that has attracted abundant attention …