environment

Energy efficiency is crucial for the oil and gas industry, where operational costs and environmental impact are under constant scrutiny. Predicting and managing electrical consumption and peak demand accurately, especially with the variability of weather conditions, is a significant challenge. This work presents a neural network model trained on historical weather and…

This paper presents circular environmental initiatives at Abu Ali Island in the Eastern Province of Saudi Arabia that led to sustainable and systematic decarbonization, ecosystem, and biodiversity programs.

A series of temblors in the region has been linked to oil and gas extraction processes.

Reducing greenhouse-gas emissions with geologic carbon storage will require a new way to model rock physics.

This paper proposes two new methods of accelerating the solidification (or mineralization) of CO2 in subsurface conditions, thus accelerating the cycle of the CO2 storage process.

Applications are open for the funding, which comes from the Inflation Reduction Act, for projects that help monitor, measure, quantify, and reduce methane emissions.

This paper presents efforts to reduce greenhouse-gas emissions and increase energy efficiency through the use of a real-time monitoring tool on exploration and production operated assets.

The objective of this study is to use expired medications as green corrosion inhibitors that can be used during stimulation treatments. Because the medications are expired and not fit for human consumption, the cost is inherently low.

This article explores the implementation of artificial intelligence vision for leak monitoring automation in the oil and gas industry and its role in improving safety standards, operational efficiency, and environmental performance.

This paper investigates the use of machine learning to rapidly predict the solutions of a high-fidelity, complex physics model using a simpler physics model.