Results 1 to 10 of about 3,287,588 (278)

Joint interpretation of magnetotelluric, seismic, and well-log data in Hontomín (Spain) [PDF]

Solid Earth, 2016
Hontomín (N of Spain) hosts the first Spanish CO2 storage pilot plant. The subsurface characterization of the site included the acquisition of a 3-D seismic reflection and a circumscribed 3-D magnetotelluric (MT) survey.
X. Ogaya, J. Alcalde, I. Marzán, J. Ledo, P. Queralt, A. Marcuello, D. Martí, E. Saura, R. Carbonell, B. Benjumea   +9 more
doaj   +6 more sources

Well log data generation and imputation using sequence based generative adversarial networks [PDF]

Scientific Reports
Well log analysis is significant for hydrocarbon exploration, providing detailed insights into subsurface geological formations. However, gaps and inaccuracies in well log data, often due to equipment limitations, operational challenges, and harsh ...
Abdulrahman Al-Fakih, A. Koeshidayatullah, Tapan Mukerji, Sadam Al-Azani, SanLinn I. Kaka   +4 more
doaj   +2 more sources

Lost circulation intensity characterization in drilling operations: Leveraging machine learning and well log data [PDF]

Heliyon
Lost circulation is one of the important challenges in drilling operations and bears financial losses and operational risks. The prime causes of lost circulation are related to several geological parameters, especially in problem-prone formations. Herein,
Ahmad Azadivash
doaj   +2 more sources

Filling-well: An effective technique to handle incomplete well-log data for lithology classification using machine learning algorithms [PDF]

MethodsX
Lithology classification is crucial for efficient and sustainable resource exploration in the oil and gas industry. Missing values in well-log data, such as Gamma Ray (GR), Neutron Porosity (NPHI), Bulk Density (RHOB), Deep Resistivity (RS), Delta Time ...
Sherly Ardhya Garini, Ary Mazharuddin Shiddiqi, Widya Utama, Alif Nurdien Fitrah Insani   +3 more
doaj   +2 more sources

Physically consistent joint prediction of porosity and shale volume via core-calibrated deep learning in well-consolidated sandstones [PDF]

Scientific Reports
In clay-sand reservoirs, shale volume affects porosity and permeability, with porosity governing storage capacity; these properties influence reserve and productivity predictions, which directly affect reservoir and economic assessments.
Weizhi Sun, Junxing Zhao, Shuaijie Peng, Wenlu Huang, Hongyi Li   +4 more
doaj   +2 more sources

Lithology identification using semantic segmentation for well log data [PDF]

REM: International Engineering Journal
In the past decade, machine learning techniques were responsible for a revolution in classification and regression tasks, making it possible to automate some laborious activities, saving time and reducing errors.
Áttila Leães Rodrigues, Fernanda Gontijo Fernandes Niquini, Sandro Pinzon, João Felipe Coimbra Leite Costa   +3 more
doaj   +2 more sources

Application of supervised machine learning and unsupervised data compression models for pore pressure prediction employing drilling, petrophysical, and well log data [PDF]

Scientific Reports
Accurate determination of pore pressure is critical in the design of wells, determining a safe range of mud properties, and estimating the required mud weight to ensure wellbore stability.
Abu Bakker Siddique, Tanveer Alam Munshi, Nazmul Islam Rakin, Mahamudul Hashan, Sushmita Sarker Chnapa, Labiba Nusrat Jahan   +5 more
doaj   +2 more sources

Reservoir characterization of Yolde Formation, Kolmani Field, Gongola Basin, Nigeria using pressure, temperature, PVT, and well log data [PDF]

Scientific Reports
The reservoir characterization of the Yolde Formation was conducted to assess the hydrocarbon potential of the Kolmani field in the Gongola Basin, Upper Benue Trough. This evaluation utilized Pressure, Temperature, PVT, mobility, and well log data.
Chekwube Nnamdi Didi, Olawale Olakunle Osinowo, Okey Eliseus Akpunonu   +2 more
doaj   +2 more sources

Well log data super-resolution based on locally linear embedding

Oil & Gas Science and Technology, 2021
Unconventional remaining oil and gas resources such as tight oil, shale oil, and coalbed gas are currently the focus of the exploration and development of major oil fields all over the world.
Han Jian, Gao Pan, Cao Zhimin, Li Jing, Wang Sijie, Yang Can   +5 more
doaj   +1 more source

Wellbore Instability Prediction by Geomechanical Behavioral Modeling in Zilaie Oil Field [PDF]

Journal of Petroleum Science and Technology, 2023
Wellbore instability is a critical problem during oil and gas reservoirs’ drilling and production phase, for which analytical, numerical, experimental, and field methods have been widely discussed.
Amin Tohidi, Arash Ebrahimabadi, Atefeh musavi   +2 more
doaj   +1 more source