The emergence of artificial intelligence (AI) and, more particularly, machine learning (ML),
has had a significant impact on engineering and the fundamental sciences, resulting in …

Assessment of production potential and prediction of sweet spots in unexploited shale gas
wells are crucial technologies for achieving a high success rate in drilling. Most existing …

The identification of sweet spots, areas within a reservoir with the highest production
potential, has been revolutionized by the integration of machine learning (ML) algorithms …

Shale gas production prediction is of great significance for shale gas exploration and
development, as it can optimize exploration strategies and guide adjustments to production …

As the mechanization of the CBM extraction process advances and geological conditions
continuously evolve, the production data from CBM wells is deviating increasingly from …

Shale reservoirs are rich in micro and nanoscale pores and fractures, resulting in a very
complex interaction mechanism between oil and water. In this paper, firstly, the differences …

Shale oil has become a crucial unconventional resource, bolstering energy supply security,
and it is important to accurately predict shale oil production dynamics. However, traditional …

To explore a comprehensive evaluation method for saline lacustrine shale, samples were
collected from the shale strata of the Lucaogou Formation in the Jimusar Sag, Junggar …

Shallow hydrocarbon accumulation (SHA) and predrilling volume prediction are important
components of offshore oil and gas exploration. However, SHA prediction is complex and …

In this paper, the T 2∗-based relaxation theory and numerical simulation method in shale oil
were established for the first time, which have been verified through free induction decay …