Artificial intelligence technology will be increasingly applied in the oil and gas industry. The
rapid development of artificial intelligence technology can solve problems such as high …

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

Geothermal energy is clean, renewable, and cost-effective and its efficient recovery
management mandates optimizing engineering parameters while considering the …

The effect of natural fractures, their orientation, and their interaction with hydraulic fractures
on the extraction of heat and the extension of injection fluid are fully examined. A fully …

Energy extraction from the Enhanced Geothermal System (EGS) relies on hydraulic fractures
or natural fractures to migrate fluid and thus extract heat from surrounding rocks. However …

The potential for large-scale storage of carbon dioxide (CO2) through Geological Carbon
Sequestration (GCS) in deep geological formations such as saline aquifers and depleted oil …

In this work, we develop computationally efficient methods for deterministic production
optimization under nonlinear constraints using a kernel-based machine learning method …

The majority of China's multi-layer low permeability tight gas reservoirs are currently being
extracted through the method of multi-layer co-production. However, due to the significant …

Inverse modeling can estimate uncertain parameters in subsurface reservoirs and provide
reliable numerical models for reservoir development and management. The traditional …

It is difficult to quantitatively measure the temperature characteristics to evaluate the heat
extraction in Enhanced Geothermal Systems (EGS). This study aims to define a new …