A new fluid factor and its application using a deep learning approach
Amplitude interpretation for hydrocarbon prediction is an important task in the oil and gas industry. Seismic amplitude is dominated by porosity, the volume of clay, pore-filled fluid type and lithology. A few seismic attributes are proposed to predict the existence of hydrocarbon. This paper propos...
Saved in:
Main Authors: | Liu, C., Ghosh, D.P., Salim, A.M.A., Chow, W.S. |
---|---|
Format: | Article |
Published: |
2019
|
Online Access: | https://www.scopus.com/inward/record.uri?eid=2-s2.0-85057314987&doi=10.1111%2f1365-2478.12712&partnerID=40&md5=cf9e3d951f0bf61da34fb1b4d3734172 http://eprints.utp.edu.my/22222/ |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
Similar Items
-
Advanced fluid indicator based on numerical simulation and deep learning
by: Liu, C., et al.
Published: (2020) -
Sub-surface investigation in the frontier region of deep-water NW Sabah, Malaysia
by: Banerjee, A., et al.
Published: (2019) -
Machine-learning guided fracture density seismic inversion: A new approach in fractured basement characterisation
by: Shamsuddin, A.A.S., et al.
Published: (2020) -
New fluid and lithology indicator from seismic and rock physics: Malaysian offshore case study
by: Hermana, M., et al.
Published: (2016) -
Implementation of New Seismic Attributes to Improve Reservoir Properties Prediction Using Probability Neural Network
by: Maman Hermana, DP Ghosh, CW Sum, AMA Salim, .
Published: (2016)