The advent of reliable and inexpensive sensors and advancements in general computing
have made data-heavy algorithms feasible for operational, real-time decision-making …

Tight oil reservoirs are contributing a major role to fulfill the overall crude oil needs,
especially in the US. However, the dilemma is their ultra-tight permeability and an …

Most of the energy demand is currently supplied from fossil fuels, which leads to the
accumulation of greenhouse gases and air pollution. A sustainable future can be created …

The advent of technology including big data has allowed machine learning technology to
strengthen its place in solving different science and engineering complex problems …

藏南地区地热资源丰富, 是喜马拉雅地热带的重要组成部分, 有望成为新的地热资源开发靶区.
本文以藏南桑日-错那活动构造带内模麓温泉群为研究对象, 以水化学和氢氧氚同位素为研究 …

Exploration of geothermal resources involves analysis and management of a large number
of uncertainties, which makes investment and operations decisions challenging. Remote …

The burgeoning field of additive manufacturing (AM) applications has been extended to
production of ecofriendly (green, clean, and renewable) energy generation and storage …

Accurate prediction of the average thermal extraction load (ATEL) in hydrothermal heating
systems optimizes energy recovery, though numerical models are constrained by modeling …

Many researchers have examined the benefits of machine learning (ML) algorithms in
geothermal drilling, especially for predicting the rate of penetration (ROP) of drilling …

Accurate prediction of geothermal reservoir responses to alternative energy production
scenarios is critical for optimizing the development of the underlying resources. While the …