Cover Image

Improving seismic fault mapping through data conditioning using a pre-trained deep convolutional neural network: A case study on Groningen field

Seismic fault interpretation is a crucial and indispensable step in reservoir exploration that requires substantial time. As a result, much research has been dedicated to applying deep learning in this venture. Deep learning has shown significant progress in the identification of seismic faults. How...

Full description

Saved in:

Bibliographic Details
Main Authors:	Otchere, D.A., Tackie-Otoo, B.N., Mohammad, M.A.A., Ganat, T.O.A., Kuvakin, N., Miftakhov, R., Efremov, I., Bazanov, A.
Format:	Article
Published:	Elsevier B.V. 2022
Online Access:	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85127071545&doi=10.1016%2fj.petrol.2022.110411&partnerID=40&md5=163d700ea6710c065c7de00a7579fb64 http://eprints.utp.edu.my/33058/
Tags:	Add Tag No Tags, Be the first to tag this record!

Similar Items

Application of gradient boosting regression model for the evaluation of feature selection techniques in improving reservoir characterisation predictions
by: Otchere, D.A., et al.
Published: (2022)

Investigation into the Oil Recovery Process Using an Organic Alkali-Amino Acid-Based Surfactant System
by: Tackie-Otoo, B.N., et al.
Published: (2021)

A study of the oil recovery potential and mechanisms of an alternative Alkaline-Surfactant-Polymer formulation for carbonate reservoir
by: Tackie-Otoo, B.N., et al.
Published: (2023)

USM TERIMA PELAWAT DARIPADA UNIVERSITY OF GRONINGEN BELANDA
by: MPRC, Pusat Media & Perhubungan Awam
Published: (2017)

Data analytics and Bayesian Optimised Extreme Gradient Boosting approach to estimate cut-offs from wireline logs for net reservoir and pay classification
by: Otchere, D.A., et al.
Published: (2022)

Data analytics and Bayesian Optimised Extreme Gradient Boosting approach to estimate cut-offs from wireline logs for net reservoir and pay classification
by: Otchere, D.A., et al.
Published: (2022)

Experimental investigation of the behaviour of a novel amino acid-based surfactant relevant to EOR application
by: Tackie-Otoo, B.N., et al.
Published: (2020)

A comprehensive review on geo-storage of H2 in salt caverns: Prospect and research advances
by: Tackie-Otoo, B.N., et al.
Published: (2024)

A comprehensive review on geo-storage of H2 in salt caverns: Prospect and research advances
by: Tackie-Otoo, B.N., et al.
Published: (2024)

Heritage for tourism: the influential factors, a lesson from Groningen, the Netherlands to Banda Aceh, Indonesia
by: Dewi, Cut
Published: (2008)

Investigation of the enhanced oil recovery potential of sodium cocoyl alaninate: an eco-friendly surfactant
by: Tackie-Otoo, B.N., et al.
Published: (2022)

The combined effects of the minimum miscibility pressure and injection rate variations on recovery of co2 flooding in sandstone reservoir
by: Ayoub, M.A., et al.
Published: (2022)

Bearing fault diagnosis employing gabor and augmented architecture of convolutional neural network
by: Waziralilah, N. F., et al.
Published: (2019)

Recognizing malaysia traffic signs with pre-trained deep convolutional neural networks
by: How D.N.T., et al.
Published: (2023)

Object detection and classification of butterflies using efficient CNN and pre-trained deep convolutional neural networks
by: Mattins, R.F., et al.
Published: (2023)

Experimental investigation of N-lauroyl sarcosine and N-lauroyl-L-glutamic acid as green surfactants for enhanced oil recovery application
by: Tackie-Otoo, B.N., et al.
Published: (2022)

Experimental investigation of N-lauroyl sarcosine and N-lauroyl-L-glutamic acid as green surfactants for enhanced oil recovery application
by: Tackie-Otoo, B.N., et al.
Published: (2022)

Bearing fault diagnosis employing gabor and augmented architecture of convolutional neural network
by: Waziralilah, N. F., et al.
Published: (2019)

EXPERIMENTAL INVESTIGATION OF THE OIL RECOVERY POTENTIALS OF ALTERNATIVE ASP FORMULATIONS FOR SANDSTONE AND CARBONATE RESERVOIRS
by: TACKIE-OTOO, BENNET NII
Published: (2023)

Bearing Fault Diagnosis Using Lightweight and Robust One-Dimensional Convolution Neural Network in the Frequency Domain
by: Hakim M., et al.
Published: (2023)

Deep convolutional neural network processing of aerial stereo imagery to monitor vulnerable zones near power lines
by: Qayyum, A., et al.
Published: (2018)

Deep convolutional neural network processing of aerial stereo imagery to monitor vulnerable zones near power lines
by: Qayyum, A., et al.
Published: (2018)

Acoustic emission techniques for early detection of bearing faults using LabVIEW
by: N., Saad, et al.
Published: (2008)

A study of acoustic emission technique on incipient detection of rotating machine faults
by: N., Saad, et al.
Published: (2008)

An optimized deep convolutional neural network architecture for concept drifted image classification
by: Jameel, S.M., et al.
Published: (2020)

Flexible pavement crack’s severity identification and classification using deep convolution neural network / A. Ibrahim …[et al.]
by: Ibrahim, A., et al.
Published: (2021)

Artificial generation of partial discharge sources through an algorithm based on deep convolutional generative adversarial networks
by: Ardila Rey, J. A., et al.
Published: (2020)

Bearing fault diagnosis using deep sparse autoencoder
by: Saufi, S. R., et al.
Published: (2021)

2D and 3D seismic simulation for fault modeling: exploratory revision from the Gullfaks field
by: Siddiqui, N.A., et al.
Published: (2017)

Detection Of Fault Insulator Based On Improved Convolution Neural Network
by: Mohd Rahul, Mohd Rafiq
Published: (2023)

Convolutional neural networks and deep belief networks for analysing imbalanced class issue in handwritten dataset
by: Amri, A’inur A’fifah, et al.
Published: (2017)

Geohazard-seismic: Gas cloud characterization through seismic attributes
by: Hasni, N.A., et al.
Published: (2020)

Speech emotion recognition using convolution neural networks and deep stride convolutional neural networks
by: Wani, Taiba, et al.
Published: (2020)

Application of machine learning models to predict cytotoxicity of ionic liquids using VolSurf principal properties
by: Tabaaza, Grace Amabel, et al.
Published: (2023)

Numerical Investigation of Hybrid Smart Water and Foam Injections in Carbonate Reservoirs
by: Hassan, A.M., et al.
Published: (2023)

Review of deep convolution neural network in image classification
by: Al-Saffar, Ahmed Ali Mohammed, et al.
Published: (2017)

Distracted driver detection with deep convolution neural networks
by: Basubeit, Omar Gumaan Saleh
Published: (2023)

Classification of atypical white blood cells in acute myeloid leukemia using a two-stage hybrid model based on deep convolutional autoencoder and deep convolutional neural network
by: Elhassan, Tusneem A., et al.
Published: (2023)

Character recognition of Malaysian vehicle license plate with deep convolutional neural networks
by: How D.N.T., et al.
Published: (2023)

A novel intelligent detection schema of series arc fault in photovoltaic (PV) system based convolutional neural network
by: Omran, A. H., et al.
Published: (2020)