A systematic review of data science and machine learning applications to the oil and gas industry
This study offered a detailed review of data sciences and machine learning (ML) roles in
different petroleum engineering and geosciences segments such as petroleum exploration …
different petroleum engineering and geosciences segments such as petroleum exploration …
Machine Learning in Oil and Gas Exploration-A Review
A comprehensive assessment of machine learning applications is conducted to identify the
developing trends for Artificial Intelligence (AI) applications in the oil and gas sector …
developing trends for Artificial Intelligence (AI) applications in the oil and gas sector …
Patch-level MLP classification for improved fault detection
Fault detection and interpretation has been one of the routine tools used for subsurface
structure mapping and reservoir characterization from three-dimensional (3D) seismic data …
structure mapping and reservoir characterization from three-dimensional (3D) seismic data …
Improving seismic fault detection by super-attribute-based classification
Fault interpretation is one of the routine processes used for subsurface structure mapping
and reservoir characterization from 3D seismic data. Various techniques have been …
and reservoir characterization from 3D seismic data. Various techniques have been …
Developing a seismic texture analysis neural network for machine-aided seismic pattern recognition and classification
D seismic interpretation is essential for subsurface characterization and exploration. Many
existing interpretation techniques have been developed for identifying certain seismic …
existing interpretation techniques have been developed for identifying certain seismic …
Imposing interpretational constraints on a seismic interpretation convolutional neural network
H Di, C Li, S Smith, Z Li, A Abubakar - Geophysics, 2021 - library.seg.org
With the expanding size of 3D seismic data, manual seismic interpretation becomes time-
consuming and labor-intensive. For automating this process, recent progress in machine …
consuming and labor-intensive. For automating this process, recent progress in machine …
Directional structure tensors in estimating seismic structural and stratigraphic orientations
Estimating orientations of seismic structures (reflections) and stratigraphic features
(channels) is important for seismic interpretation, subsurface interpolation and geophysical …
(channels) is important for seismic interpretation, subsurface interpolation and geophysical …
[HTML][HTML] 3D seismic flexure analysis for subsurface fault detection and fracture characterization
Seismic flexure is a new geometric attribute with the potential of delineating subtle faults and
fractures from three-dimensional (3D) seismic surveys, especially those overlooked by the …
fractures from three-dimensional (3D) seismic surveys, especially those overlooked by the …
Volumetric aberrancy to map subtle faults and flexures
X Qi, K Marfurt - Interpretation, 2018 - pubs.geoscienceworld.org
One of the key tasks of a seismic interpreter is to map lateral changes in surfaces, not only
including faults, folds, and flexures, but also incisements, diapirism, and dissolution features …
including faults, folds, and flexures, but also incisements, diapirism, and dissolution features …
[图书][B] Seismic attributes as the framework for data integration throughout the oilfield life cycle
KJ Marfurt - 2018 - library.seg.org
After reading this short-course book, the seismic interpreter should be able to: use attributes
to quantify geometric, dynamic, kinematic, statistical, and geomechanical properties of the …
to quantify geometric, dynamic, kinematic, statistical, and geomechanical properties of the …