Results 21 to 30 of about 2,212,553 (293)
Generating Paired Seismic Training Data with Cycle-Consistent Adversarial Networks
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]
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
Unsupervised machine learning using an unsupervised vector quantization neural network (UVQ-NN) integrated with meta-geometrical attributes as a novel computation process as opposed to traditional methodologies is currently used effectively in the 3D ...
A. Ismail +4 more
semanticscholar +1 more source
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
Active Learning with Deep Autoencoders for Seismic Facies Interpretation
Machine learning-assisted seismic interpretation tasks require large quantities of labeled data annotated by expert interpreters, which is a costly and time-consuming process.
Ahmad Mustafa, Ghassan Alregib
semanticscholar +1 more source
Fault interpretation in seismic reflection data: an experiment analysing the impact of conceptual model anchoring and vertical exaggeration [PDF]
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
Recognition of small faults in coal fields based on multi-scale seismic curvature attributes fusion
In order to meet the needs of intelligent development of coal mines in China for transparency of geological conditions, identifying small faults with a drop of about 3 m has become one of the important geological tasks in structural interpretation ...
Lifeng Li, Yaping Huang, Xuemei Qi
doaj +1 more source
Key technologies for seismic reservoir characterization of high water-cut oilfields
Reservoir characterization in mature oil fields with high water cut faces the challenges of small geological bodies, large well density, and data acquisition spreading over long periods.
Lideng GAN +9 more
doaj +1 more source
In the study of sequence stratigraphy in continental rift basins, the use of seismic data to track different levels of sequence stratigraphic boundaries laterally is the key to the division of sequence stratigraphic units at all levels and the ...
Xiaowei Guan +4 more
doaj +1 more source
The purpose of this research is to delineate the structures of the Lower Goru Formation, investigate fluid properties, and clarify the hydrocarbon-prone areas through seismic attributes analysis. First, the acquired data was matched by the interpretation
Fode Tounkara +8 more
doaj +1 more source

