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Applications of neuro fuzzy systems: A brief review and future outline
This paper surveys neuro fuzzy systems (NFS) development using classification and
literature review of articles for the last decade (2002–2012) to explore how various NFS …
literature review of articles for the last decade (2002–2012) to explore how various NFS …
A review on the applications of image logs in structural analysis and sedimentary characterization
Image logs provide important information on lithology, sedimentary textures, paleoflow
directions, fractures and in situ stress analysis. Lacking of criteria used for establishing the …
directions, fractures and in situ stress analysis. Lacking of criteria used for establishing the …
A core logging, machine learning and geostatistical modeling interactive approach for subsurface imaging of lenticular geobodies in a clastic depositional system, SE …
Facies models are essential tools for imaging subsurface geobodies and for reducing
exploration and development risks efficiently. The Lower Goru Formation is one of the …
exploration and development risks efficiently. The Lower Goru Formation is one of the …
Optimized machine learning models for natural fractures prediction using conventional well logs
Identifying and characterizing natural fractures is essential for understanding fluid flow and
drainage in many oil and gas reservoirs, particularly carbonate. The presence of fractures …
drainage in many oil and gas reservoirs, particularly carbonate. The presence of fractures …
Fracture detection in oil-based drilling mud using a combination of borehole image and sonic logs
J Lai, G Wang, Z Fan, Z Wang, J Chen, Z Zhou… - Marine and Petroleum …, 2017 - Elsevier
Abstract The deeply buried (5.5–7.1 km) Lower Cretaceous Bashijiqike sandstones are
important fractured reservoirs in the Kuqa depression. In these high temperature-high …
important fractured reservoirs in the Kuqa depression. In these high temperature-high …
[HTML][HTML] Application of unconventional seismic attributes and unsupervised machine learning for the identification of fault and fracture network
The identification of small scale faults (SSFs) and fractures provides an improved
understanding of geologic structural features and can be exploited for future drilling …
understanding of geologic structural features and can be exploited for future drilling …
Novel hybrid machine learning optimizer algorithms to prediction of fracture density by petrophysical data
One of the challenges in reservoir management is determining the fracture density (FVDC)
in reservoir rock. Given the high cost of coring operations and image logs, the ability to …
in reservoir rock. Given the high cost of coring operations and image logs, the ability to …
Toward the scientific interpretation of geophysical well logs: Typical misunderstandings and countermeasures
J Lai, G Wang, Q Fan, F Zhao, X Zhao, Y Li, Y Zhao… - Surveys in …, 2023 - Springer
Geophysical well log data are widely used in the field of structural geology, sedimentary
geology and petroleum geology. Gaps and misunderstandings are still existing in the …
geology and petroleum geology. Gaps and misunderstandings are still existing in the …
Fracture responses of conventional logs in tight-oil sandstones: A case study of the Upper Triassic Yanchang Formation in southwest Ordos Basin, China
W Lyu, L Zeng, Z Liu, G Liu, K Zu - AAPG bulletin, 2016 - pubs.geoscienceworld.org
Fractures are the main fluid-flow pathways in tight-oil sandstones, and they have a
significant influence on tight-oil distribution, exploration, and development. Cores and image …
significant influence on tight-oil distribution, exploration, and development. Cores and image …
[HTML][HTML] Fracture identification and evaluation using conventional logs in tight sandstones: A case study in the Ordos Basin, China
Fractures are of great significance to tight oil and gas development. Fracture identification
using conventional well logs is a feasible way to locate the underground fractures in tight …
using conventional well logs is a feasible way to locate the underground fractures in tight …