Results 31 to 40 of about 728,785 (235)
Condition of bottom sediment in the area of artificial islands of the Kashagan field, Kazakhstan
Aim. The aim of the research was to determine the pollution of bottom sediment with heavy metals around artificial islands A and D, where hydrocarbon raw materials from the subsalt stratum are being extracted from island D, and where ...
K. Kenzhegaliev +4 more
doaj +1 more source
This review presents the latest update, applications, techniques of the NMR tools in both laboratory and field scales in the oil and gas upstream industry.
M. Elsayed +7 more
semanticscholar +1 more source
An Anomaly Detection Model for Oil and Gas Pipelines Using Machine Learning
Detection of minor leaks in oil or gas pipelines is a critical and persistent problem in the oil and gas industry. Many organisations have long relied on fixed hardware or manual assessments to monitor leaks.
Sumayh S. Aljameel +6 more
semanticscholar +1 more source
POSSIBILITIES TO EXTEND THE LIFETIME OF SCREW DOWNHOLE MOTOR ROTORS SURFACE LAYER
The article considers the methods for surface strengthening of screw downhole motors rotors. The automated line and technology for rotors surface coating application are described.
A. V. Oshibkov +5 more
doaj +1 more source
Global Tracking and Quantification of Oil and Gas Methane Emissions from Recurrent Sentinel-2 Imagery. [PDF]
Methane (CH4) emission estimates from top-down studies over oil and gas basins have revealed systematic underestimation of CH4 emissions in current national inventories.
T. Ehret +8 more
semanticscholar +1 more source
. Reducing methane emissions from the oil and gas (oil–gas) sector has been identified as a critically important global strategy for reducing near-term climate warming.
James P. Williams +9 more
semanticscholar +1 more source
Air Pollution Resulted from Coal, Oil and Gas Firing in Thermal Power Plants and Treatment: A Review
Air pollution is a worldwide and a local issue caused by energy generation. It refers to global warming deterioration in human environmental health and local-global sustainability.
R. Hannun, Ali H. Abdul Razzaq
semanticscholar +1 more source
Evaluation of Machine Learning Assisted Phase Behavior Modelling of Surfactant–Oil–Water Systems
This paper evaluates the ability of machine learning (ML) algorithms to capture and reproduce complex multiphase behavior in surfactant–oil–water systems.
Daulet Magzymov +3 more
doaj +1 more source
The integration of renewable energy within the operations of the oil and gas sector has emerged as a pivotal trend driven by environmental concerns, regulatory pressures, and technological advancements.
Darlington Eze Ekechukwu, Peter Simpa
semanticscholar +1 more source

