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Unsupervised Machine Learning Applied to Seismic Interpretation: Towards an Unsupervised Automated Interpretation Tool [PDF]

open access: yesSensors, 2021
Seismic interpretation is a fundamental process for hydrocarbon exploration. This activity comprises identifying geological information through the processing and analysis of seismic data represented by different attributes.
Alimed Celecia   +8 more
doaj   +4 more sources

Machine learning elucidates the anatomy of buried carbonate reef from seismic reflection data

open access: yesArtificial Intelligence in Geosciences, 2023
A carbonate build-up or reef is a thick carbonate deposit consisting of mainly skeletal remains of organisms that can be large enough to develop a favourable topography.
Priyadarshi Chinmoy Kumar   +1 more
doaj   +1 more source

Random noise attenuation via convolutional neural network in seismic datasets

open access: yesAlexandria Engineering Journal, 2022
With the explosive growth in seismic data acquisition and the successful application of convolutional neural networks to various image processing tasks within multidisciplinary fields, many researchers have begun to research convolutional neural networks
Ruishan Du   +4 more
doaj   +1 more source

Generating Paired Seismic Training Data with Cycle-Consistent Adversarial Networks

open access: yesRemote Sensing, 2023
Deep-learning-based seismic data interpretation has received extensive attention and focus in recent years. Research has shown that training data play a key role in the process of intelligent seismic interpretation.
Zheng Zhang   +4 more
doaj   +1 more source

Identification and Interpretation of fan deposits in Block H12 of Beixi subsag, Beier depression, Hailar basin [PDF]

open access: yesE3S Web of Conferences, 2020
Fan deposits in the Nantun formation in Beier depression have been drilled in the past two decades. It’s difficult to identify and describe subtle traps formed by fans by seismic interpretation. By using a combination of seismic interpretation techniques
Yu-lin QI, Yue ZHOU
doaj   +1 more source

Seismic Interpretations and Petrophysical Evaluation of the Two Main Reservoirs in Abu Madi Formation, Level-2 and Level-3, Nidoco Field, Nile Delta, Egypt [PDF]

open access: yesDelta Journal of Science, 2022
Nidoco Field is a large gas field located at the central part of the Nile Delta, along the coast of the Mediterranean Sea. The field stopped production in 2012, due to high water production.
Mohamed Fathi Mohamed Ali   +2 more
doaj   +1 more source

Machine Learning-Based Probabilistic Lithofacies Prediction from Conventional Well Logs: A Case from the Umiat Oil Field of Alaska

open access: yesEnergies, 2020
A good understanding of different rock types and their distribution is critical to locate oil and gas accumulations in the subsurface. Traditionally, rock core samples are used to directly determine the exact rock facies and what geological environments ...
Nilesh Dixit   +2 more
doaj   +1 more source

The Seismic Analyzer: Interpreting and Illustrating 2D Seismic Data [PDF]

open access: yesIEEE Transactions on Visualization and Computer Graphics, 2008
We present a toolbox for quickly interpreting and illustrating 2D slices of seismic volumetric reflection data. Searching for oil and gas involves creating a structural overview of seismic reflection data to identify hydrocarbon reservoirs. We improve the search of seismic structures by precalculating the horizon structures of the seismic data prior to
Patel, Daniel   +4 more
openaire   +4 more sources

A Quantitative Interpretation of Seismicity and Seismic Activity [PDF]

open access: yesGeophysical Journal International, 1967
Summary A new method for computation of seismicity has been worked out and the concept seismic activity has been mathematically formulated as an enlargement of seismicity. For computation of seismic activity a mathematical representation of the energy density function of an earthquake is needed.
W. Ullmann, R. Maaz
openaire   +1 more source

Fault interpretation in seismic reflection data: an experiment analysing the impact of conceptual model anchoring and vertical exaggeration [PDF]

open access: yesSolid Earth, 2019
The use of conceptual models is essential in the interpretation of reflection seismic data. It allows interpreters to make geological sense of seismic data, which carries inherent uncertainty.
J. Alcalde   +7 more
doaj   +1 more source

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