A systematic review of data science and machine learning applications to the oil and gas industry
This study offered a detailed review of data sciences and machine learning (ML) roles in
different petroleum engineering and geosciences segments such as petroleum exploration …
different petroleum engineering and geosciences segments such as petroleum exploration …
A survey on industry 4.0 for the oil and gas industry: upstream sector
The market volatility in the oil and gas (O&G) sector, the dwindling demand for oil due to the
impact of COVID-19, and the push for alternative greener energy are driving the need for …
impact of COVID-19, and the push for alternative greener energy are driving the need for …
[Retracted] Improved Artificial Neural Network with State Order Dataset Estimation for Brain Cancer Cell Diagnosis
Brain cancer is one of the cell synthesis diseases. Brain cancer cells are analyzed for patient
diagnosis. Due to this composite cell, the conceptual classifications differ from each and …
diagnosis. Due to this composite cell, the conceptual classifications differ from each and …
Enhanced group method of data handling (GMDH) for permeability prediction based on the modified Levenberg Marquardt technique from well log data
AK Mulashani, C Shen, BM Nkurlu, CN Mkono… - Energy, 2022 - Elsevier
Permeability is the key variable for reservoir characterization used for estimating the flow
patterns and volume of hydrocarbons. Modern computer advancement has highlighted the …
patterns and volume of hydrocarbons. Modern computer advancement has highlighted the …
Accident prediction in construction using hybrid wavelet-machine learning
Occupational accident rates in construction projects are usually higher than other industries
in most countries, even though safety management systems are continuously improving …
in most countries, even though safety management systems are continuously improving …
Petrophysical heterogeneity of the early Cretaceous Alamein dolomite reservoir from North Razzak oil field, Egypt integrating well logs, core measurements, and …
Capturing the petrophysical heterogeneities within a reservoir has a critical influence on
reservoir deliverability as well as field development programs. In this study, we report a …
reservoir deliverability as well as field development programs. In this study, we report a …
Prediction of flyrock distance in surface mining using a novel hybrid model of harris hawks optimization with multi-strategies-based support vector regression
To weaken and control effectively the harm of flyrock in open-pit mines, this study aimed to
develop a novel Harris hawks optimization with multi-strategies-based support vector …
develop a novel Harris hawks optimization with multi-strategies-based support vector …
Logging-data-driven permeability prediction in low-permeable sandstones based on machine learning with pattern visualization: A case study in Wenchang A Sag …
X Zhao, X Chen, Q Huang, Z Lan, X Wang… - Journal of Petroleum …, 2022 - Elsevier
Permeability is a crucial analytical variable in petrophysical parameters of reservoir rocks,
which is highly related to geo-energy exploration and evaluation. Conventional physics …
which is highly related to geo-energy exploration and evaluation. Conventional physics …
[HTML][HTML] Prediction of permeability from well logs using a new hybrid machine learning algorithm
Permeability is a measure of fluid transmissibility in the rock and is a crucial concept in the
evaluation of formations and the production of hydrocarbon from the reservoirs. Various …
evaluation of formations and the production of hydrocarbon from the reservoirs. Various …
Addressing diverse petroleum industry problems using machine learning techniques: literary methodology─ spotlight on predicting well integrity failures
Artificial intelligence (AI) and machine learning (ML) are transforming industries, where low-
cost, big data can utilize computing power to optimize system performance. Oil and gas …
cost, big data can utilize computing power to optimize system performance. Oil and gas …