Multitask learning for local seismic image processing: fault detection, structure-oriented smoothing with edge-preserving, and seismic normal estimation by using a …
Fault detection in a seismic image is a key step of structural interpretation. Structure-oriented
smoothing with edge-preserving removes noise while enhancing seismic structures and …
smoothing with edge-preserving removes noise while enhancing seismic structures and …
Automatic fault interpretation with optimal surface voting
Numerous types of fault attributes have been proposed to detect faults by measuring
reflection continuities or discontinuities. However, these attributes can be sensitive to other …
reflection continuities or discontinuities. However, these attributes can be sensitive to other …
胜利油田勘探开发大数据及人工智能技术应用进展.
杨勇 - Petroleum Geology & Recovery Efficiency, 2022 - search.ebscohost.com
针对勘探开发业务流程及热点问题, 阐述了大数据及人工智能技术的研究及应用进展.
经过持续攻关研究, 在胜利油田油气勘探方面形成了断层检测, 层位提取, 岩性识别 …
经过持续攻关研究, 在胜利油田油气勘探方面形成了断层检测, 层位提取, 岩性识别 …
Deep relative geologic time: A deep learning method for simultaneously interpreting 3‐D seismic horizons and faults
Extracting horizons and detecting faults in a seismic image are basic steps for structural
interpretation and important for many seismic processing schemes. A common ground of the …
interpretation and important for many seismic processing schemes. A common ground of the …
Deep learning for characterizing paleokarst collapse features in 3‐D seismic images
Paleokarst systems are found extensively in carbonate‐prone basins worldwide. They can
form large reservoirs and provide efficient pathways for hydrocarbon migration, but they can …
form large reservoirs and provide efficient pathways for hydrocarbon migration, but they can …
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 …
A systematic review of deep learning for structural geological interpretation
GL Fernandes, F Figueiredo, RS Hatushika… - Data Mining and …, 2025 - Springer
It is well known that seismic data (or seismic volumes/images) are one of the primary work
materials of the oil and gas industry. Nevertheless, the manual interpretation of such data …
materials of the oil and gas industry. Nevertheless, the manual interpretation of such data …
Improving performance of seismic fault detection by fine-tuning the convolutional neural network pre-trained with synthetic samples
Z Yan, Z Zhang, S Liu - Energies, 2021 - mdpi.com
Fault interpretation is an important part of seismic structural interpretation and reservoir
characterization. In the conventional approach, faults are detected as reflection discontinuity …
characterization. In the conventional approach, faults are detected as reflection discontinuity …
Geology-engineering integration to improve drilling speed and safety in ultra-deep clastic reservoirs of the Qiulitage structural belt
C Chen, G Ji, H Wang, H Huang, P Baud… - Advances in Geo …, 2022 - yandy-ager.com
The Qiulitage structural belt in Tarim Basin has a large reservoir burial depth and complex
geological conditions. Challenges such as ultra-depth, high temperature, high pressure and …
geological conditions. Challenges such as ultra-depth, high temperature, high pressure and …