Applications of neuro fuzzy systems: A brief review and future outline

S Kar, S Das, PK Ghosh - Applied Soft Computing, 2014 - Elsevier
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 …

A review on the applications of image logs in structural analysis and sedimentary characterization

J Lai, G Wang, S Wang, J Cao, M Li, X Pang… - Marine and Petroleum …, 2018 - Elsevier
Image logs provide important information on lithology, sedimentary textures, paleoflow
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 …

U Ashraf, H Zhang, A Anees, HN Mangi, M Ali… - Natural Resources …, 2021 - Springer
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 …

Optimized machine learning models for natural fractures prediction using conventional well logs

S Tabasi, PS Tehrani, M Rajabi, DA Wood, S Davoodi… - Fuel, 2022 - Elsevier
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 …

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 …

[HTML][HTML] Application of unconventional seismic attributes and unsupervised machine learning for the identification of fault and fracture network

U Ashraf, H Zhang, A Anees, H Nasir Mangi, M Ali… - Applied Sciences, 2020 - mdpi.com
The identification of small scale faults (SSFs) and fractures provides an improved
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

M Rajabi, S Beheshtian, S Davoodi, H Ghorbani… - Journal of Petroleum …, 2021 - Springer
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 …

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 …

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 …

[HTML][HTML] Fracture identification and evaluation using conventional logs in tight sandstones: A case study in the Ordos Basin, China

S Dong, L Zeng, W Lyu, D **a, G Liu, Y Wu, X Du - Energy Geoscience, 2020 - Elsevier
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 …