Unsupervised Machine Learning Applied to Seismic Interpretation: Towards an Unsupervised Automated Interpretation Tool [PDF]
Sensors, 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
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Framing bias : the effect of figure presentation on seismic interpretation [PDF]
, 2017 The authors thank all the participants in the survey, and those who helped to distribute it. We thank Prof. Christopher Jackson and co-authors for allowing the use of their published images in this experiment.
Alcalde, Juan +2 more
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Increasing the quality of seismic interpretation [PDF]
, 2016 Acknowledgments E. Macrae was funded by an NERC Open CASE Ph.D. award (NE/F013728/1) with Midland Valley Exploration Ltd. as the industry partner. We thank 763 geoscientists for their participation, and in particular, the REs who gave their time freely ...
Bond, Clare E. +3 more
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Quantification of uncertainty in 3-D seismic interpretation: implications for deterministic and stochastic geomodeling and machine learning [PDF]
Solid Earth, 2019 In recent years, uncertainty has been widely recognized in geosciences, leading to an increased need for its quantification. Predicting the subsurface is an especially uncertain effort, as our information either comes from spatially highly limited direct
A. Schaaf, C. E. Bond
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The different approaches in seismic stratigraphy interpretation [PDF]
Tehnika, 2018 This paper presents two basic approaches in seismic stratigraphy interpretation. The first one as starting point have seismic sections, whose interpretation in the later stage correlates with well data.
Radivojević Dejan N.
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Learnable Gabor Kernels in Convolutional Neural Networks for Seismic Interpretation Tasks [PDF]
IEEE Transactions on Geoscience and Remote Sensing, 2023 The use of convolutional neural networks (CNNs) in seismic interpretation tasks, like facies classification, has garnered a lot of attention for its high accuracy.
Fu Wang, T. Alkhalifah
semanticscholar +1 more source
A Joint Inversion-Segmentation approach to Assisted Seismic Interpretation [PDF]
82nd EAGE Annual Conference & Exhibition, 2021 Structural seismic interpretation and quantitative characterization are historically intertwined processes. The latter provides estimates of the properties of the subsurface, which can be used to aid structural interpretation alongside the original ...
M. Ravasi, C. Birnie
semanticscholar +1 more source
Machine learning elucidates the anatomy of buried carbonate reef from seismic reflection data
Artificial 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
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3D seismic interpretation with deep learning: A brief introduction
The Leading Edge, 2021 Understanding the internal structure of our planet is a fundamental goal of the earth sciences. As direct observations are restricted to surface outcrops and borehole cores, we rely on geophysical data to study the earth's interior.
T. Wrona +5 more
semanticscholar +1 more source
Random noise attenuation via convolutional neural network in seismic datasets
Alexandria 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
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